{"title":"纠正剖腹产子宫切除术治疗胎盘植入谱系中的医院手术量-结果关系","authors":"","doi":"10.1111/1471-0528.17728","DOIUrl":null,"url":null,"abstract":"<p>Matsuo, K, Youssefzadeh, AC, Mandelbaum, RS, Sangara, RN, Matsuzaki, S, Matsushima, K, Klar, M, Ouzounian, JG, Wright, JD. Hospital surgical volume–outcome relationship in caesarean hysterectomy for placenta accreta spectrum. <i>BJOG</i> 2022; 129: 986–993. https://doi.org/10.1111/1471-0528.16993</p>\n<p>The authors would like to correct the analytic approach in their investigation that assessed the association between hospital volume for caesarean hysterectomy and surgical morbidity in pregnant patients with placenta accreta spectrum. In the previous analysis, they calculated the relative hospital surgical volume as the summation of number of patients who had caesarean hysterectomy for placenta accreta spectrum over the 3-year study period by using the anonymized hospital classifiers. They would like to clarify that this analytic schema is to be corrected as the annualized number. In this annualized fashion, the relative hospital volume for caesarean hysterectomy was calculated in each year. The remaining patient-level analysis was unchanged.</p>\n<div>The authors identified the following errors: <ol start=\"1\">\n<li>Prior Figure 1 was incorrect and the distribution of patients according to the revised relative caesarean hysterectomy hospital volume is shown in corrected Figure 1 below. Nearly two-thirds of patients in the study underwent caesarean hysterectomy where the relative hospital surgical volume was five cases a year. Nearly 10% of patients in the study population had caesarean hysterectomy at centers where the relative surgical volume was 15 or more cases a year.</li>\n</ol>\n</div>\n<figure><picture>\n<source media=\"(min-width: 1650px)\" srcset=\"/cms/asset/f3023b1f-1a50-43bb-8413-1499dfa1d055/bjo17728-fig-0001-m.jpg\"/><img alt=\"Details are in the caption following the image\" data-lg-src=\"/cms/asset/f3023b1f-1a50-43bb-8413-1499dfa1d055/bjo17728-fig-0001-m.jpg\" loading=\"lazy\" src=\"/cms/asset/8a1580ad-98cb-4f5c-a747-5edf402f2ea3/bjo17728-fig-0001-m.png\" title=\"Details are in the caption following the image\"/></picture><figcaption>\n<div><strong>FIGURE 1</strong><div>Open in figure viewer<i aria-hidden=\"true\"></i><span>PowerPoint</span></div>\n</div>\n<div>Distribution of relative cesarean hysterectomy hospital volume. Distribution of annualized relative hospital cesarean hysterectomy volume for placental accreta spectrum a year in the weighted model is shown. SV, annualized relative hospital surgical volume for cesarean hysterectomy.</div>\n</figcaption>\n</figure>\n<div>\n<ol start=\"2\">\n<li>Prior Figure 2 was incorrect and the results of revised relative surgical volume cutpoint analysis for the measured surgical morbidity, predefined as haemorrhage, coagulopathy, shock, urinary tract injury, and death are shown in corrected Figure 2 below. Relative hospital surgical volume of 25 cases or more was associated with a statistically significantly lower rate of surgical morbidity (56.7% vs. 63.6%, <i>p</i> = 0.002). Based on this, patients in the study population were grouped into the following three strata: 2705 (45.0%) patients who had caesarean hysterectomy at centers where the relative hospital surgical volume was five cases a year (low-volume group); 2820 (46.9%) patients who had caesarean hysterectomy at centers where the relative hospital surgical volume was more than five but less than 25 cases a year (mid-volume group); and 485 (8.1%) patients who had caesarean hysterectomy at centers where the relative hospital surgical volume 25 cases or more a year (high-volume group).</li>\n</ol>\n</div>\n<figure><picture>\n<source media=\"(min-width: 1650px)\" srcset=\"/cms/asset/62fe5e8f-5830-4204-bbd2-b79cc4554a50/bjo17728-fig-0002-m.jpg\"/><img alt=\"Details are in the caption following the image\" data-lg-src=\"/cms/asset/62fe5e8f-5830-4204-bbd2-b79cc4554a50/bjo17728-fig-0002-m.jpg\" loading=\"lazy\" src=\"/cms/asset/21a0e710-515c-4417-afc3-0b998529d986/bjo17728-fig-0002-m.png\" title=\"Details are in the caption following the image\"/></picture><figcaption>\n<div><strong>FIGURE 2</strong><div>Open in figure viewer<i aria-hidden=\"true\"></i><span>PowerPoint</span></div>\n</div>\n<div>Association between relative cesarean hysterectomy hospital volume and surgical morbidity. A total of 11 models were tested to examine the association between relative hospital cesarean hysterectomy volume and measured surgical outcomes (hemorrhage, shock, coagulopathy, urinary tract injury, and death): linear, logarithmic, inverse, quadratic, cubic, power, compound, S, logistic, growth, and exponential. Among the statistically significant models, the model exhibiting the minimum <i>p</i>-value was chosen for the analysis (cubic model, <i>p</i> = 6 × 10<sup>−5</sup>). In automated fashion, the reflection point was determined by the cubic curve modeling for the cutpoint (≥25 cases, <i>p</i> = 0.002). According the selected model, the surgical morbidity rates are shown per the cutpoint. Dots represent the observed value and bars represent standard error. All the analyses were based on weighted model for national estimates.</div>\n</figcaption>\n</figure>\n<div>\n<ol start=\"3\">\n<li>Prior Table 1 was incorrect and the patient-level characteristics according to the revised exposure grouping are shown in corrected Table 1 below. Compared to the patients in the low-volume group, patients in the mid-volume and high-volume groups were more likely to have medical comorbidity and more severe forms of placenta accreta spectrum. Patients in the mid-volume and high-volume groups were also more likely to have placenta accreta spectrum with placenta previa, a surrogate for antenatally suspected cases, compared to those in the low-volume group.</li>\n</ol>\n</div>\n<div>\n<header><span>TABLE 1. </span>Patient demographics per cesarean hysterectomy volume (multivariable analysis).</header>\n<div tabindex=\"0\">\n<table>\n<thead>\n<tr>\n<th rowspan=\"2\">Characteristic</th>\n<th>Low</th>\n<th>Mid</th>\n<th>High</th>\n<th>Mid vs. low</th>\n<th>High vs. low</th>\n</tr>\n<tr>\n<th style=\"top: 40.5px;\">(%)</th>\n<th style=\"top: 40.5px;\">(%)</th>\n<th style=\"top: 40.5px;\">(%)</th>\n<th style=\"top: 40.5px;\">aOR (95%CI)</th>\n<th style=\"top: 40.5px;\">aOR (95%CI)</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Age (years)</td>\n<td>34<sup>†</sup></td>\n<td>34<sup>†</sup></td>\n<td>33<sup>†</sup></td>\n<td>1.01 (1.00–1.02)</td>\n<td>0.97 (0.95–0.99)*</td>\n</tr>\n<tr>\n<td colspan=\"6\">Year</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">2016</td>\n<td>32.0</td>\n<td>31.4</td>\n<td>25.8</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">2017</td>\n<td>31.1</td>\n<td>32.8</td>\n<td>34.0</td>\n<td>1.11 (0.97–1.28)</td>\n<td>0.80 (0.62–1.03)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">2018</td>\n<td>37.0</td>\n<td>35.8</td>\n<td>40.2</td>\n<td>1.15 (1.00–1.32)</td>\n<td>0.79 (0.61–1.03)</td>\n</tr>\n<tr>\n<td colspan=\"6\">Race/ethnicity</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">White</td>\n<td>43.1</td>\n<td>39.2</td>\n<td>33.0</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Black</td>\n<td>15.5</td>\n<td>19.7</td>\n<td>22.7</td>\n<td>1.33 (1.13–1.58)*</td>\n<td>1.73 (1.28–2.35)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Hispanic</td>\n<td>24.4</td>\n<td>25.5</td>\n<td>27.8</td>\n<td>1.37 (1.17–1.60)*</td>\n<td>1.47 (1.09–1.98)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Asian</td>\n<td>6.7</td>\n<td>5.0</td>\n<td>5.2</td>\n<td>0.82 (0.63–1.07)</td>\n<td>0.84 (0.51–1.37)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Others</td>\n<td>5.9</td>\n<td>7.1</td>\n<td>\n<sup>a</sup>\n</td>\n<td>1.46 (1.14–1.88)*</td>\n<td>0.46 (0.23–0.92)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Unknown</td>\n<td>4.4</td>\n<td>3.5</td>\n<td>9.3</td>\n<td>1.12 (0.83–1.52)</td>\n<td>4.33 (2.71–6.91)*</td>\n</tr>\n<tr>\n<td colspan=\"6\">Primary expected payer</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Medicaid</td>\n<td>49.9</td>\n<td>50.0</td>\n<td>53.6</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Private including HMO</td>\n<td>44.2</td>\n<td>43.8</td>\n<td>35.1</td>\n<td>1.14 (0.84–1.54)</td>\n<td>0.96 (0.74–1.24)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Self-pay</td>\n<td>2.2</td>\n<td>2.3</td>\n<td>\n<sup>a</sup>\n</td>\n<td>1.41 (0.94–2.11)</td>\n<td>0.54 (0.19–1.54)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Others<sup>**</sup></td>\n<td>3.7</td>\n<td>3.9</td>\n<td>10.3</td>\n<td>1.05 (0.92–1.21)</td>\n<td>4.59 (2.95–7.12)*</td>\n</tr>\n<tr>\n<td colspan=\"6\">Median household income</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">1st QT (lowest)</td>\n<td>29.4</td>\n<td>29.8</td>\n<td>32.0</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">2nd QT</td>\n<td>26.1</td>\n<td>24.1</td>\n<td>26.8</td>\n<td>0.91 (0.78–1.07)</td>\n<td>0.84 (0.63–1.11)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">3rd QT</td>\n<td>22.0</td>\n<td>22.9</td>\n<td>17.5</td>\n<td>1.19 (1.01–1.41)</td>\n<td>0.86 (0.62–1.19)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">4th QT (highest)</td>\n<td>20.3</td>\n<td>22.0</td>\n<td>23.7</td>\n<td>1.13 (0.94–1.36)</td>\n<td>1.18 (0.85–1.65)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Unknown</td>\n<td>2.2</td>\n<td>1.2</td>\n<td>0</td>\n<td>0.62 (0.39–1.01)</td>\n<td>n/a</td>\n</tr>\n<tr>\n<td colspan=\"6\">Obesity</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">No</td>\n<td>83.2</td>\n<td>79.8</td>\n<td>73.2</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Yes</td>\n<td>16.8</td>\n<td>20.2</td>\n<td>26.8</td>\n<td>1.17 (1.01–1.37)*</td>\n<td>1.61 (1.24–2.09)*</td>\n</tr>\n<tr>\n<td colspan=\"6\">Diabetes mellitus</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">No</td>\n<td>84.1</td>\n<td>84.9</td>\n<td>73.2</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Yes</td>\n<td>15.9</td>\n<td>15.1</td>\n<td>26.8</td>\n<td>0.84 (0.71–0.99)*</td>\n<td>1.78 (1.37–2.31)*</td>\n</tr>\n<tr>\n<td colspan=\"6\">Hypertensive disease</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">No</td>\n<td>83.2</td>\n<td>83.7</td>\n<td>73.2</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Yes</td>\n<td>16.8</td>\n<td>16.3</td>\n<td>26.8</td>\n<td>0.91 (0.78–1.07)</td>\n<td>1.59 (1.22–2.07)*</td>\n</tr>\n<tr>\n<td colspan=\"6\">Prior cesarean delivery</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">No</td>\n<td>27.2</td>\n<td>23.9</td>\n<td>19.6</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Yes</td>\n<td>72.8</td>\n<td>76.1</td>\n<td>80.4</td>\n<td>1.11 (0.97–1.27)</td>\n<td>1.31 (1.01–1.71)*</td>\n</tr>\n<tr>\n<td colspan=\"6\">Placenta previa</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">No</td>\n<td>52.1</td>\n<td>43.3</td>\n<td>40.2</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Yes</td>\n<td>47.9</td>\n<td>56.7</td>\n<td>59.8</td>\n<td>1.37 (1.22–1.54)*</td>\n<td>1.58 (1.26–1.97)*</td>\n</tr>\n<tr>\n<td colspan=\"6\">PAS type</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Accreta</td>\n<td>78.6</td>\n<td>74.1</td>\n<td>70.1</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Increta</td>\n<td>10.7</td>\n<td>12.6</td>\n<td>13.4</td>\n<td>1.21 (1.01–1.44)*</td>\n<td>1.14 (0.83–1.58)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Percreta</td>\n<td>10.7</td>\n<td>13.3</td>\n<td>16.5</td>\n<td>1.24 (1.03–1.49)*</td>\n<td>1.56 (1.15–2.12)*</td>\n</tr>\n<tr>\n<td colspan=\"6\">Hospital bed capacity</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Small</td>\n<td>12.8</td>\n<td>5.5</td>\n<td>0</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Medium</td>\n<td>30.7</td>\n<td>14.4</td>\n<td>7.2</td>\n<td>1.03 (0.82–1.30)</td>\n<td>n/a</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Large</td>\n<td>56.6</td>\n<td>80.1</td>\n<td>92.8</td>\n<td>3.79 (3.07–4.68)*</td>\n<td>n/a</td>\n</tr>\n<tr>\n<td colspan=\"6\">Hospital teaching status</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Non-urban teaching</td>\n<td>21.3</td>\n<td>6.4</td>\n<td>0</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Urban teaching</td>\n<td>78.7</td>\n<td>93.6</td>\n<td>100</td>\n<td>2.11 (1.92–2.32)*</td>\n<td>n/a</td>\n</tr>\n<tr>\n<td colspan=\"6\">Hospital region</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Northeast</td>\n<td>17.6</td>\n<td>20.4</td>\n<td>25.8</td>\n<td>0.81 (0.69–0.95)*</td>\n<td>1.31 (0.98–1.77)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Midwest</td>\n<td>21.3</td>\n<td>18.3</td>\n<td>5.2</td>\n<td>0.56 (0.47–0.66)*</td>\n<td>0.13 (0.08–0.20)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">South</td>\n<td>34.9</td>\n<td>40.4</td>\n<td>28.9</td>\n<td>1.00 (reference)</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">West</td>\n<td>26.2</td>\n<td>20.9</td>\n<td>40.2</td>\n<td>0.58 (0.50–0.69)*</td>\n<td>1.50 (1.13–1.99)*</td>\n</tr>\n</tbody>\n</table>\n</div>\n<div>\n<ul>\n<li>\n<i>Note</i>: Percentage values per group are shown except for age († median). Annualized relative hospital cesarean hysterectomy volume: low-volume (5 cases), mid-volume (>5 but <25 cases), and high-volume (≥25 cases). A multinomial regression model was used for analysis to examine the difference in characteristics across the 3 groups, and effect size with aOR and corresponding 95%CI is shown in comparison to the low-volume group. **included Medicare, no charge, other, and unknown. </li>\n<li> Abbreviations: aOR, adjusted odds ratio; CI, confidence interval; QT, quartile; and PAS, placenta accreta spectrum. </li>\n<li title=\"Footnote 1\"><span>\n<sup>a</sup>\n</span> Suppressed per the HCUP guidelines. </li>\n<li title=\"Footnote 2\"><span>* </span>\n<i>p</i> < 0.05. </li>\n</ul>\n</div>\n<div></div>\n</div>\n<div>\n<ol start=\"4\">\n<li>Prior Table 2 was incorrect and the results of revised volume-outcome relationship are shown in corrected Table 2 below. Patients in the high-volume group were 23% less likely to have the measured surgical morbidity compared to those in the low-volume group (56.7% vs. 62.7%, adjusted-odds ratio 0.77, 95% confidence interval 0.62–0.96) in multivariable analysis. This association remained when patients in the high-volume group were compared to those in the mid-volume group (56.7% vs. 64.5%, adjusted-odds ratio 0.73, 95% confidence interval 0.60–0.91).</li>\n</ol>\n</div>\n<div>\n<header><span>TABLE 2. </span>Surgical morbidity per cesarean hysterectomy volume (multivariable analysis).</header>\n<div tabindex=\"0\">\n<table>\n<thead>\n<tr>\n<th>Characteristic</th>\n<th>(%)</th>\n<th>aOR (95%CI)</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td colspan=\"3\">Hospital surgical volume<sup>a</sup></td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Low-volume</td>\n<td>62.7</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Mid-volume</td>\n<td>64.5</td>\n<td>1.05 (0.93–1.18)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">High-volume</td>\n<td>56.7</td>\n<td>0.77 (0.62–0.96)*</td>\n</tr>\n<tr>\n<td>Age (years)</td>\n<td>—</td>\n<td>0.99 (0.98–1.00)</td>\n</tr>\n<tr>\n<td colspan=\"3\">Year</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">2016</td>\n<td>66.4</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">2017</td>\n<td>63.5</td>\n<td>0.89 (0.78–1.03)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">2018</td>\n<td>59.9</td>\n<td>0.77 (0.67–0.88)*</td>\n</tr>\n<tr>\n<td colspan=\"3\">Race/ethnicity</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">White</td>\n<td>63.0</td>\n<td>0.83 (0.71–0.96)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Black</td>\n<td>62.2</td>\n<td>1.02 (0.85–1.22)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Hispanic</td>\n<td>65.0</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Asian</td>\n<td>68.1</td>\n<td>1.04 (0.80–1.36)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Others</td>\n<td>50.0</td>\n<td>0.62 (0.48–0.78)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Unknown</td>\n<td>67.9</td>\n<td>0.93 (0.70–1.25)</td>\n</tr>\n<tr>\n<td colspan=\"3\">Primary expected payer</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Medicaid</td>\n<td>59.9</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Private including HMO</td>\n<td>65.6</td>\n<td>1.42 (1.24–1.62)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Self-pay</td>\n<td>76.9</td>\n<td>2.37 (1.53–3.67)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Others</td>\n<td>67.3</td>\n<td>1.61 (1.21–2.15)*</td>\n</tr>\n<tr>\n<td colspan=\"3\">Median household income</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">1st QT (lowest)</td>\n<td>59.2</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">2nd QT</td>\n<td>69.0</td>\n<td>1.57 (1.35–1.82)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">3rd QT</td>\n<td>58.9</td>\n<td>0.85 (0.73–0.99)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">4th QT (highest)</td>\n<td>64.6</td>\n<td>1.11 (0.94–1.32)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Unknown</td>\n<td>78.9</td>\n<td>2.35 (1.39–3.98)</td>\n</tr>\n<tr>\n<td colspan=\"3\">Obesity</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">No</td>\n<td>63.6</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Yes</td>\n<td>60.6</td>\n<td>0.95 (0.82–1.10)</td>\n</tr>\n<tr>\n<td colspan=\"3\">Diabetes mellitus</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">No</td>\n<td>64.1</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Yes</td>\n<td>57.9</td>\n<td>0.82 (0.70–0.95)*</td>\n</tr>\n<tr>\n<td colspan=\"3\">Hypertensive disease</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">No</td>\n<td>64.9</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Yes</td>\n<td>54.5</td>\n<td>0.74 (0.64–0.85)*</td>\n</tr>\n<tr>\n<td colspan=\"3\">Prior cesarean delivery</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">No</td>\n<td>64.8</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Yes</td>\n<td>62.5</td>\n<td>0.83 (0.73–0.95)*</td>\n</tr>\n<tr>\n<td colspan=\"3\">Placenta previa</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">No</td>\n<td>53.1</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Yes</td>\n<td>71.9</td>\n<td>2.33 (2.08–2.60)*</td>\n</tr>\n<tr>\n<td colspan=\"3\">PAS type</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Accreta</td>\n<td>63.3</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Increta</td>\n<td>62.7</td>\n<td>0.94 (0.79–1.12)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Percreta</td>\n<td>61.7</td>\n<td>0.98 (0.83–1.16)</td>\n</tr>\n<tr>\n<td colspan=\"3\">Hospital bed capacity</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Small</td>\n<td>62.0</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Medium</td>\n<td>62.2</td>\n<td>0.98 (0.78–1.23)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Large</td>\n<td>63.4</td>\n<td>1.00 (0.82–1.23)</td>\n</tr>\n<tr>\n<td colspan=\"3\">Hospital teaching status</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Non-urban teaching</td>\n<td>64.2</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Urban teaching</td>\n<td>62.9</td>\n<td>0.96 (0.81–1.15)</td>\n</tr>\n<tr>\n<td colspan=\"3\">Hospital region</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Northeast</td>\n<td>59.1</td>\n<td>1.00 (reference)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Midwest</td>\n<td>66.8</td>\n<td>1.42 (1.18–1.71)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">South</td>\n<td>62.7</td>\n<td>1.25 (1.07–1.45)*</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">West</td>\n<td>63.9</td>\n<td>1.20 (1.02–1.43)*</td>\n</tr>\n</tbody>\n</table>\n</div>\n<div>\n<ul>\n<li>\n<i>Note</i>: A binary logistic regression model for multivariable analysis to examine the association between surgical volume and predetermined surgical complications (hemorrhage, shock, coagulopathy, urinary tract injury, and death). High-volume group was also associated with 27% decreased risk of surgical complication compared to mid-volume group (aOR 0.73, 95% CI 0.60–0.91). </li>\n<li> Abbreviations: aOR, adjusted-odds ratio; and CI, confidence interval. </li>\n<li title=\"Footnote 1\"><span>\n<sup>a</sup>\n</span> Annualized relative hospital cesarean hysterectomy volume: low-volume (5 cases), medium-volume (>5 but <25 cases), and high-volume (≥25 cases). </li>\n<li title=\"Footnote 2\"><span>* </span>\n<i>p</i> < 0.05. </li>\n</ul>\n</div>\n<div></div>\n</div>","PeriodicalId":8984,"journal":{"name":"BJOG: An International Journal of Obstetrics & Gynaecology","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correction to Hospital surgical volume–outcome relationship in caesarean hysterectomy for placenta accreta spectrum\",\"authors\":\"\",\"doi\":\"10.1111/1471-0528.17728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Matsuo, K, Youssefzadeh, AC, Mandelbaum, RS, Sangara, RN, Matsuzaki, S, Matsushima, K, Klar, M, Ouzounian, JG, Wright, JD. Hospital surgical volume–outcome relationship in caesarean hysterectomy for placenta accreta spectrum. <i>BJOG</i> 2022; 129: 986–993. https://doi.org/10.1111/1471-0528.16993</p>\\n<p>The authors would like to correct the analytic approach in their investigation that assessed the association between hospital volume for caesarean hysterectomy and surgical morbidity in pregnant patients with placenta accreta spectrum. In the previous analysis, they calculated the relative hospital surgical volume as the summation of number of patients who had caesarean hysterectomy for placenta accreta spectrum over the 3-year study period by using the anonymized hospital classifiers. They would like to clarify that this analytic schema is to be corrected as the annualized number. In this annualized fashion, the relative hospital volume for caesarean hysterectomy was calculated in each year. The remaining patient-level analysis was unchanged.</p>\\n<div>The authors identified the following errors: <ol start=\\\"1\\\">\\n<li>Prior Figure 1 was incorrect and the distribution of patients according to the revised relative caesarean hysterectomy hospital volume is shown in corrected Figure 1 below. Nearly two-thirds of patients in the study underwent caesarean hysterectomy where the relative hospital surgical volume was five cases a year. Nearly 10% of patients in the study population had caesarean hysterectomy at centers where the relative surgical volume was 15 or more cases a year.</li>\\n</ol>\\n</div>\\n<figure><picture>\\n<source media=\\\"(min-width: 1650px)\\\" srcset=\\\"/cms/asset/f3023b1f-1a50-43bb-8413-1499dfa1d055/bjo17728-fig-0001-m.jpg\\\"/><img alt=\\\"Details are in the caption following the image\\\" data-lg-src=\\\"/cms/asset/f3023b1f-1a50-43bb-8413-1499dfa1d055/bjo17728-fig-0001-m.jpg\\\" loading=\\\"lazy\\\" src=\\\"/cms/asset/8a1580ad-98cb-4f5c-a747-5edf402f2ea3/bjo17728-fig-0001-m.png\\\" title=\\\"Details are in the caption following the image\\\"/></picture><figcaption>\\n<div><strong>FIGURE 1</strong><div>Open in figure viewer<i aria-hidden=\\\"true\\\"></i><span>PowerPoint</span></div>\\n</div>\\n<div>Distribution of relative cesarean hysterectomy hospital volume. Distribution of annualized relative hospital cesarean hysterectomy volume for placental accreta spectrum a year in the weighted model is shown. SV, annualized relative hospital surgical volume for cesarean hysterectomy.</div>\\n</figcaption>\\n</figure>\\n<div>\\n<ol start=\\\"2\\\">\\n<li>Prior Figure 2 was incorrect and the results of revised relative surgical volume cutpoint analysis for the measured surgical morbidity, predefined as haemorrhage, coagulopathy, shock, urinary tract injury, and death are shown in corrected Figure 2 below. Relative hospital surgical volume of 25 cases or more was associated with a statistically significantly lower rate of surgical morbidity (56.7% vs. 63.6%, <i>p</i> = 0.002). Based on this, patients in the study population were grouped into the following three strata: 2705 (45.0%) patients who had caesarean hysterectomy at centers where the relative hospital surgical volume was five cases a year (low-volume group); 2820 (46.9%) patients who had caesarean hysterectomy at centers where the relative hospital surgical volume was more than five but less than 25 cases a year (mid-volume group); and 485 (8.1%) patients who had caesarean hysterectomy at centers where the relative hospital surgical volume 25 cases or more a year (high-volume group).</li>\\n</ol>\\n</div>\\n<figure><picture>\\n<source media=\\\"(min-width: 1650px)\\\" srcset=\\\"/cms/asset/62fe5e8f-5830-4204-bbd2-b79cc4554a50/bjo17728-fig-0002-m.jpg\\\"/><img alt=\\\"Details are in the caption following the image\\\" data-lg-src=\\\"/cms/asset/62fe5e8f-5830-4204-bbd2-b79cc4554a50/bjo17728-fig-0002-m.jpg\\\" loading=\\\"lazy\\\" src=\\\"/cms/asset/21a0e710-515c-4417-afc3-0b998529d986/bjo17728-fig-0002-m.png\\\" title=\\\"Details are in the caption following the image\\\"/></picture><figcaption>\\n<div><strong>FIGURE 2</strong><div>Open in figure viewer<i aria-hidden=\\\"true\\\"></i><span>PowerPoint</span></div>\\n</div>\\n<div>Association between relative cesarean hysterectomy hospital volume and surgical morbidity. A total of 11 models were tested to examine the association between relative hospital cesarean hysterectomy volume and measured surgical outcomes (hemorrhage, shock, coagulopathy, urinary tract injury, and death): linear, logarithmic, inverse, quadratic, cubic, power, compound, S, logistic, growth, and exponential. Among the statistically significant models, the model exhibiting the minimum <i>p</i>-value was chosen for the analysis (cubic model, <i>p</i> = 6 × 10<sup>−5</sup>). In automated fashion, the reflection point was determined by the cubic curve modeling for the cutpoint (≥25 cases, <i>p</i> = 0.002). According the selected model, the surgical morbidity rates are shown per the cutpoint. Dots represent the observed value and bars represent standard error. All the analyses were based on weighted model for national estimates.</div>\\n</figcaption>\\n</figure>\\n<div>\\n<ol start=\\\"3\\\">\\n<li>Prior Table 1 was incorrect and the patient-level characteristics according to the revised exposure grouping are shown in corrected Table 1 below. Compared to the patients in the low-volume group, patients in the mid-volume and high-volume groups were more likely to have medical comorbidity and more severe forms of placenta accreta spectrum. Patients in the mid-volume and high-volume groups were also more likely to have placenta accreta spectrum with placenta previa, a surrogate for antenatally suspected cases, compared to those in the low-volume group.</li>\\n</ol>\\n</div>\\n<div>\\n<header><span>TABLE 1. </span>Patient demographics per cesarean hysterectomy volume (multivariable analysis).</header>\\n<div tabindex=\\\"0\\\">\\n<table>\\n<thead>\\n<tr>\\n<th rowspan=\\\"2\\\">Characteristic</th>\\n<th>Low</th>\\n<th>Mid</th>\\n<th>High</th>\\n<th>Mid vs. low</th>\\n<th>High vs. low</th>\\n</tr>\\n<tr>\\n<th style=\\\"top: 40.5px;\\\">(%)</th>\\n<th style=\\\"top: 40.5px;\\\">(%)</th>\\n<th style=\\\"top: 40.5px;\\\">(%)</th>\\n<th style=\\\"top: 40.5px;\\\">aOR (95%CI)</th>\\n<th style=\\\"top: 40.5px;\\\">aOR (95%CI)</th>\\n</tr>\\n</thead>\\n<tbody>\\n<tr>\\n<td>Age (years)</td>\\n<td>34<sup>†</sup></td>\\n<td>34<sup>†</sup></td>\\n<td>33<sup>†</sup></td>\\n<td>1.01 (1.00–1.02)</td>\\n<td>0.97 (0.95–0.99)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Year</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">2016</td>\\n<td>32.0</td>\\n<td>31.4</td>\\n<td>25.8</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">2017</td>\\n<td>31.1</td>\\n<td>32.8</td>\\n<td>34.0</td>\\n<td>1.11 (0.97–1.28)</td>\\n<td>0.80 (0.62–1.03)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">2018</td>\\n<td>37.0</td>\\n<td>35.8</td>\\n<td>40.2</td>\\n<td>1.15 (1.00–1.32)</td>\\n<td>0.79 (0.61–1.03)</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Race/ethnicity</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">White</td>\\n<td>43.1</td>\\n<td>39.2</td>\\n<td>33.0</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Black</td>\\n<td>15.5</td>\\n<td>19.7</td>\\n<td>22.7</td>\\n<td>1.33 (1.13–1.58)*</td>\\n<td>1.73 (1.28–2.35)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Hispanic</td>\\n<td>24.4</td>\\n<td>25.5</td>\\n<td>27.8</td>\\n<td>1.37 (1.17–1.60)*</td>\\n<td>1.47 (1.09–1.98)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Asian</td>\\n<td>6.7</td>\\n<td>5.0</td>\\n<td>5.2</td>\\n<td>0.82 (0.63–1.07)</td>\\n<td>0.84 (0.51–1.37)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Others</td>\\n<td>5.9</td>\\n<td>7.1</td>\\n<td>\\n<sup>a</sup>\\n</td>\\n<td>1.46 (1.14–1.88)*</td>\\n<td>0.46 (0.23–0.92)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Unknown</td>\\n<td>4.4</td>\\n<td>3.5</td>\\n<td>9.3</td>\\n<td>1.12 (0.83–1.52)</td>\\n<td>4.33 (2.71–6.91)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Primary expected payer</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Medicaid</td>\\n<td>49.9</td>\\n<td>50.0</td>\\n<td>53.6</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Private including HMO</td>\\n<td>44.2</td>\\n<td>43.8</td>\\n<td>35.1</td>\\n<td>1.14 (0.84–1.54)</td>\\n<td>0.96 (0.74–1.24)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Self-pay</td>\\n<td>2.2</td>\\n<td>2.3</td>\\n<td>\\n<sup>a</sup>\\n</td>\\n<td>1.41 (0.94–2.11)</td>\\n<td>0.54 (0.19–1.54)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Others<sup>**</sup></td>\\n<td>3.7</td>\\n<td>3.9</td>\\n<td>10.3</td>\\n<td>1.05 (0.92–1.21)</td>\\n<td>4.59 (2.95–7.12)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Median household income</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">1st QT (lowest)</td>\\n<td>29.4</td>\\n<td>29.8</td>\\n<td>32.0</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">2nd QT</td>\\n<td>26.1</td>\\n<td>24.1</td>\\n<td>26.8</td>\\n<td>0.91 (0.78–1.07)</td>\\n<td>0.84 (0.63–1.11)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">3rd QT</td>\\n<td>22.0</td>\\n<td>22.9</td>\\n<td>17.5</td>\\n<td>1.19 (1.01–1.41)</td>\\n<td>0.86 (0.62–1.19)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">4th QT (highest)</td>\\n<td>20.3</td>\\n<td>22.0</td>\\n<td>23.7</td>\\n<td>1.13 (0.94–1.36)</td>\\n<td>1.18 (0.85–1.65)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Unknown</td>\\n<td>2.2</td>\\n<td>1.2</td>\\n<td>0</td>\\n<td>0.62 (0.39–1.01)</td>\\n<td>n/a</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Obesity</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">No</td>\\n<td>83.2</td>\\n<td>79.8</td>\\n<td>73.2</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Yes</td>\\n<td>16.8</td>\\n<td>20.2</td>\\n<td>26.8</td>\\n<td>1.17 (1.01–1.37)*</td>\\n<td>1.61 (1.24–2.09)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Diabetes mellitus</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">No</td>\\n<td>84.1</td>\\n<td>84.9</td>\\n<td>73.2</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Yes</td>\\n<td>15.9</td>\\n<td>15.1</td>\\n<td>26.8</td>\\n<td>0.84 (0.71–0.99)*</td>\\n<td>1.78 (1.37–2.31)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Hypertensive disease</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">No</td>\\n<td>83.2</td>\\n<td>83.7</td>\\n<td>73.2</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Yes</td>\\n<td>16.8</td>\\n<td>16.3</td>\\n<td>26.8</td>\\n<td>0.91 (0.78–1.07)</td>\\n<td>1.59 (1.22–2.07)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Prior cesarean delivery</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">No</td>\\n<td>27.2</td>\\n<td>23.9</td>\\n<td>19.6</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Yes</td>\\n<td>72.8</td>\\n<td>76.1</td>\\n<td>80.4</td>\\n<td>1.11 (0.97–1.27)</td>\\n<td>1.31 (1.01–1.71)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Placenta previa</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">No</td>\\n<td>52.1</td>\\n<td>43.3</td>\\n<td>40.2</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Yes</td>\\n<td>47.9</td>\\n<td>56.7</td>\\n<td>59.8</td>\\n<td>1.37 (1.22–1.54)*</td>\\n<td>1.58 (1.26–1.97)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">PAS type</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Accreta</td>\\n<td>78.6</td>\\n<td>74.1</td>\\n<td>70.1</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Increta</td>\\n<td>10.7</td>\\n<td>12.6</td>\\n<td>13.4</td>\\n<td>1.21 (1.01–1.44)*</td>\\n<td>1.14 (0.83–1.58)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Percreta</td>\\n<td>10.7</td>\\n<td>13.3</td>\\n<td>16.5</td>\\n<td>1.24 (1.03–1.49)*</td>\\n<td>1.56 (1.15–2.12)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Hospital bed capacity</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Small</td>\\n<td>12.8</td>\\n<td>5.5</td>\\n<td>0</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Medium</td>\\n<td>30.7</td>\\n<td>14.4</td>\\n<td>7.2</td>\\n<td>1.03 (0.82–1.30)</td>\\n<td>n/a</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Large</td>\\n<td>56.6</td>\\n<td>80.1</td>\\n<td>92.8</td>\\n<td>3.79 (3.07–4.68)*</td>\\n<td>n/a</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Hospital teaching status</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Non-urban teaching</td>\\n<td>21.3</td>\\n<td>6.4</td>\\n<td>0</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Urban teaching</td>\\n<td>78.7</td>\\n<td>93.6</td>\\n<td>100</td>\\n<td>2.11 (1.92–2.32)*</td>\\n<td>n/a</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"6\\\">Hospital region</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Northeast</td>\\n<td>17.6</td>\\n<td>20.4</td>\\n<td>25.8</td>\\n<td>0.81 (0.69–0.95)*</td>\\n<td>1.31 (0.98–1.77)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Midwest</td>\\n<td>21.3</td>\\n<td>18.3</td>\\n<td>5.2</td>\\n<td>0.56 (0.47–0.66)*</td>\\n<td>0.13 (0.08–0.20)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">South</td>\\n<td>34.9</td>\\n<td>40.4</td>\\n<td>28.9</td>\\n<td>1.00 (reference)</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">West</td>\\n<td>26.2</td>\\n<td>20.9</td>\\n<td>40.2</td>\\n<td>0.58 (0.50–0.69)*</td>\\n<td>1.50 (1.13–1.99)*</td>\\n</tr>\\n</tbody>\\n</table>\\n</div>\\n<div>\\n<ul>\\n<li>\\n<i>Note</i>: Percentage values per group are shown except for age († median). Annualized relative hospital cesarean hysterectomy volume: low-volume (5 cases), mid-volume (>5 but <25 cases), and high-volume (≥25 cases). A multinomial regression model was used for analysis to examine the difference in characteristics across the 3 groups, and effect size with aOR and corresponding 95%CI is shown in comparison to the low-volume group. **included Medicare, no charge, other, and unknown. </li>\\n<li> Abbreviations: aOR, adjusted odds ratio; CI, confidence interval; QT, quartile; and PAS, placenta accreta spectrum. </li>\\n<li title=\\\"Footnote 1\\\"><span>\\n<sup>a</sup>\\n</span> Suppressed per the HCUP guidelines. </li>\\n<li title=\\\"Footnote 2\\\"><span>* </span>\\n<i>p</i> < 0.05. </li>\\n</ul>\\n</div>\\n<div></div>\\n</div>\\n<div>\\n<ol start=\\\"4\\\">\\n<li>Prior Table 2 was incorrect and the results of revised volume-outcome relationship are shown in corrected Table 2 below. Patients in the high-volume group were 23% less likely to have the measured surgical morbidity compared to those in the low-volume group (56.7% vs. 62.7%, adjusted-odds ratio 0.77, 95% confidence interval 0.62–0.96) in multivariable analysis. This association remained when patients in the high-volume group were compared to those in the mid-volume group (56.7% vs. 64.5%, adjusted-odds ratio 0.73, 95% confidence interval 0.60–0.91).</li>\\n</ol>\\n</div>\\n<div>\\n<header><span>TABLE 2. </span>Surgical morbidity per cesarean hysterectomy volume (multivariable analysis).</header>\\n<div tabindex=\\\"0\\\">\\n<table>\\n<thead>\\n<tr>\\n<th>Characteristic</th>\\n<th>(%)</th>\\n<th>aOR (95%CI)</th>\\n</tr>\\n</thead>\\n<tbody>\\n<tr>\\n<td colspan=\\\"3\\\">Hospital surgical volume<sup>a</sup></td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Low-volume</td>\\n<td>62.7</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Mid-volume</td>\\n<td>64.5</td>\\n<td>1.05 (0.93–1.18)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">High-volume</td>\\n<td>56.7</td>\\n<td>0.77 (0.62–0.96)*</td>\\n</tr>\\n<tr>\\n<td>Age (years)</td>\\n<td>—</td>\\n<td>0.99 (0.98–1.00)</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Year</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">2016</td>\\n<td>66.4</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">2017</td>\\n<td>63.5</td>\\n<td>0.89 (0.78–1.03)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">2018</td>\\n<td>59.9</td>\\n<td>0.77 (0.67–0.88)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Race/ethnicity</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">White</td>\\n<td>63.0</td>\\n<td>0.83 (0.71–0.96)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Black</td>\\n<td>62.2</td>\\n<td>1.02 (0.85–1.22)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Hispanic</td>\\n<td>65.0</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Asian</td>\\n<td>68.1</td>\\n<td>1.04 (0.80–1.36)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Others</td>\\n<td>50.0</td>\\n<td>0.62 (0.48–0.78)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Unknown</td>\\n<td>67.9</td>\\n<td>0.93 (0.70–1.25)</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Primary expected payer</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Medicaid</td>\\n<td>59.9</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Private including HMO</td>\\n<td>65.6</td>\\n<td>1.42 (1.24–1.62)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Self-pay</td>\\n<td>76.9</td>\\n<td>2.37 (1.53–3.67)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Others</td>\\n<td>67.3</td>\\n<td>1.61 (1.21–2.15)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Median household income</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">1st QT (lowest)</td>\\n<td>59.2</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">2nd QT</td>\\n<td>69.0</td>\\n<td>1.57 (1.35–1.82)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">3rd QT</td>\\n<td>58.9</td>\\n<td>0.85 (0.73–0.99)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">4th QT (highest)</td>\\n<td>64.6</td>\\n<td>1.11 (0.94–1.32)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Unknown</td>\\n<td>78.9</td>\\n<td>2.35 (1.39–3.98)</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Obesity</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">No</td>\\n<td>63.6</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Yes</td>\\n<td>60.6</td>\\n<td>0.95 (0.82–1.10)</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Diabetes mellitus</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">No</td>\\n<td>64.1</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Yes</td>\\n<td>57.9</td>\\n<td>0.82 (0.70–0.95)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Hypertensive disease</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">No</td>\\n<td>64.9</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Yes</td>\\n<td>54.5</td>\\n<td>0.74 (0.64–0.85)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Prior cesarean delivery</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">No</td>\\n<td>64.8</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Yes</td>\\n<td>62.5</td>\\n<td>0.83 (0.73–0.95)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Placenta previa</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">No</td>\\n<td>53.1</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Yes</td>\\n<td>71.9</td>\\n<td>2.33 (2.08–2.60)*</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">PAS type</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Accreta</td>\\n<td>63.3</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Increta</td>\\n<td>62.7</td>\\n<td>0.94 (0.79–1.12)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Percreta</td>\\n<td>61.7</td>\\n<td>0.98 (0.83–1.16)</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Hospital bed capacity</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Small</td>\\n<td>62.0</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Medium</td>\\n<td>62.2</td>\\n<td>0.98 (0.78–1.23)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Large</td>\\n<td>63.4</td>\\n<td>1.00 (0.82–1.23)</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Hospital teaching status</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Non-urban teaching</td>\\n<td>64.2</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Urban teaching</td>\\n<td>62.9</td>\\n<td>0.96 (0.81–1.15)</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"3\\\">Hospital region</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Northeast</td>\\n<td>59.1</td>\\n<td>1.00 (reference)</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Midwest</td>\\n<td>66.8</td>\\n<td>1.42 (1.18–1.71)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">South</td>\\n<td>62.7</td>\\n<td>1.25 (1.07–1.45)*</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">West</td>\\n<td>63.9</td>\\n<td>1.20 (1.02–1.43)*</td>\\n</tr>\\n</tbody>\\n</table>\\n</div>\\n<div>\\n<ul>\\n<li>\\n<i>Note</i>: A binary logistic regression model for multivariable analysis to examine the association between surgical volume and predetermined surgical complications (hemorrhage, shock, coagulopathy, urinary tract injury, and death). High-volume group was also associated with 27% decreased risk of surgical complication compared to mid-volume group (aOR 0.73, 95% CI 0.60–0.91). </li>\\n<li> Abbreviations: aOR, adjusted-odds ratio; and CI, confidence interval. </li>\\n<li title=\\\"Footnote 1\\\"><span>\\n<sup>a</sup>\\n</span> Annualized relative hospital cesarean hysterectomy volume: low-volume (5 cases), medium-volume (>5 but <25 cases), and high-volume (≥25 cases). </li>\\n<li title=\\\"Footnote 2\\\"><span>* </span>\\n<i>p</i> < 0.05. </li>\\n</ul>\\n</div>\\n<div></div>\\n</div>\",\"PeriodicalId\":8984,\"journal\":{\"name\":\"BJOG: An International Journal of Obstetrics & Gynaecology\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BJOG: An International Journal of Obstetrics & Gynaecology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/1471-0528.17728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BJOG: An International Journal of Obstetrics & Gynaecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/1471-0528.17728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The authors would like to correct the analytic approach in their investigation that assessed the association between hospital volume for caesarean hysterectomy and surgical morbidity in pregnant patients with placenta accreta spectrum. In the previous analysis, they calculated the relative hospital surgical volume as the summation of number of patients who had caesarean hysterectomy for placenta accreta spectrum over the 3-year study period by using the anonymized hospital classifiers. They would like to clarify that this analytic schema is to be corrected as the annualized number. In this annualized fashion, the relative hospital volume for caesarean hysterectomy was calculated in each year. The remaining patient-level analysis was unchanged.
The authors identified the following errors:
Prior Figure 1 was incorrect and the distribution of patients according to the revised relative caesarean hysterectomy hospital volume is shown in corrected Figure 1 below. Nearly two-thirds of patients in the study underwent caesarean hysterectomy where the relative hospital surgical volume was five cases a year. Nearly 10% of patients in the study population had caesarean hysterectomy at centers where the relative surgical volume was 15 or more cases a year.
FIGURE 1
Open in figure viewerPowerPoint
Distribution of relative cesarean hysterectomy hospital volume. Distribution of annualized relative hospital cesarean hysterectomy volume for placental accreta spectrum a year in the weighted model is shown. SV, annualized relative hospital surgical volume for cesarean hysterectomy.
Prior Figure 2 was incorrect and the results of revised relative surgical volume cutpoint analysis for the measured surgical morbidity, predefined as haemorrhage, coagulopathy, shock, urinary tract injury, and death are shown in corrected Figure 2 below. Relative hospital surgical volume of 25 cases or more was associated with a statistically significantly lower rate of surgical morbidity (56.7% vs. 63.6%, p = 0.002). Based on this, patients in the study population were grouped into the following three strata: 2705 (45.0%) patients who had caesarean hysterectomy at centers where the relative hospital surgical volume was five cases a year (low-volume group); 2820 (46.9%) patients who had caesarean hysterectomy at centers where the relative hospital surgical volume was more than five but less than 25 cases a year (mid-volume group); and 485 (8.1%) patients who had caesarean hysterectomy at centers where the relative hospital surgical volume 25 cases or more a year (high-volume group).
FIGURE 2
Open in figure viewerPowerPoint
Association between relative cesarean hysterectomy hospital volume and surgical morbidity. A total of 11 models were tested to examine the association between relative hospital cesarean hysterectomy volume and measured surgical outcomes (hemorrhage, shock, coagulopathy, urinary tract injury, and death): linear, logarithmic, inverse, quadratic, cubic, power, compound, S, logistic, growth, and exponential. Among the statistically significant models, the model exhibiting the minimum p-value was chosen for the analysis (cubic model, p = 6 × 10−5). In automated fashion, the reflection point was determined by the cubic curve modeling for the cutpoint (≥25 cases, p = 0.002). According the selected model, the surgical morbidity rates are shown per the cutpoint. Dots represent the observed value and bars represent standard error. All the analyses were based on weighted model for national estimates.
Prior Table 1 was incorrect and the patient-level characteristics according to the revised exposure grouping are shown in corrected Table 1 below. Compared to the patients in the low-volume group, patients in the mid-volume and high-volume groups were more likely to have medical comorbidity and more severe forms of placenta accreta spectrum. Patients in the mid-volume and high-volume groups were also more likely to have placenta accreta spectrum with placenta previa, a surrogate for antenatally suspected cases, compared to those in the low-volume group.
TABLE 1. Patient demographics per cesarean hysterectomy volume (multivariable analysis).
Characteristic
Low
Mid
High
Mid vs. low
High vs. low
(%)
(%)
(%)
aOR (95%CI)
aOR (95%CI)
Age (years)
34†
34†
33†
1.01 (1.00–1.02)
0.97 (0.95–0.99)*
Year
2016
32.0
31.4
25.8
1.00 (reference)
1.00 (reference)
2017
31.1
32.8
34.0
1.11 (0.97–1.28)
0.80 (0.62–1.03)
2018
37.0
35.8
40.2
1.15 (1.00–1.32)
0.79 (0.61–1.03)
Race/ethnicity
White
43.1
39.2
33.0
1.00 (reference)
1.00 (reference)
Black
15.5
19.7
22.7
1.33 (1.13–1.58)*
1.73 (1.28–2.35)*
Hispanic
24.4
25.5
27.8
1.37 (1.17–1.60)*
1.47 (1.09–1.98)*
Asian
6.7
5.0
5.2
0.82 (0.63–1.07)
0.84 (0.51–1.37)
Others
5.9
7.1
a
1.46 (1.14–1.88)*
0.46 (0.23–0.92)*
Unknown
4.4
3.5
9.3
1.12 (0.83–1.52)
4.33 (2.71–6.91)*
Primary expected payer
Medicaid
49.9
50.0
53.6
1.00 (reference)
1.00 (reference)
Private including HMO
44.2
43.8
35.1
1.14 (0.84–1.54)
0.96 (0.74–1.24)
Self-pay
2.2
2.3
a
1.41 (0.94–2.11)
0.54 (0.19–1.54)
Others**
3.7
3.9
10.3
1.05 (0.92–1.21)
4.59 (2.95–7.12)*
Median household income
1st QT (lowest)
29.4
29.8
32.0
1.00 (reference)
1.00 (reference)
2nd QT
26.1
24.1
26.8
0.91 (0.78–1.07)
0.84 (0.63–1.11)
3rd QT
22.0
22.9
17.5
1.19 (1.01–1.41)
0.86 (0.62–1.19)
4th QT (highest)
20.3
22.0
23.7
1.13 (0.94–1.36)
1.18 (0.85–1.65)
Unknown
2.2
1.2
0
0.62 (0.39–1.01)
n/a
Obesity
No
83.2
79.8
73.2
1.00 (reference)
1.00 (reference)
Yes
16.8
20.2
26.8
1.17 (1.01–1.37)*
1.61 (1.24–2.09)*
Diabetes mellitus
No
84.1
84.9
73.2
1.00 (reference)
1.00 (reference)
Yes
15.9
15.1
26.8
0.84 (0.71–0.99)*
1.78 (1.37–2.31)*
Hypertensive disease
No
83.2
83.7
73.2
1.00 (reference)
1.00 (reference)
Yes
16.8
16.3
26.8
0.91 (0.78–1.07)
1.59 (1.22–2.07)*
Prior cesarean delivery
No
27.2
23.9
19.6
1.00 (reference)
1.00 (reference)
Yes
72.8
76.1
80.4
1.11 (0.97–1.27)
1.31 (1.01–1.71)*
Placenta previa
No
52.1
43.3
40.2
1.00 (reference)
1.00 (reference)
Yes
47.9
56.7
59.8
1.37 (1.22–1.54)*
1.58 (1.26–1.97)*
PAS type
Accreta
78.6
74.1
70.1
1.00 (reference)
1.00 (reference)
Increta
10.7
12.6
13.4
1.21 (1.01–1.44)*
1.14 (0.83–1.58)
Percreta
10.7
13.3
16.5
1.24 (1.03–1.49)*
1.56 (1.15–2.12)*
Hospital bed capacity
Small
12.8
5.5
0
1.00 (reference)
1.00 (reference)
Medium
30.7
14.4
7.2
1.03 (0.82–1.30)
n/a
Large
56.6
80.1
92.8
3.79 (3.07–4.68)*
n/a
Hospital teaching status
Non-urban teaching
21.3
6.4
0
1.00 (reference)
1.00 (reference)
Urban teaching
78.7
93.6
100
2.11 (1.92–2.32)*
n/a
Hospital region
Northeast
17.6
20.4
25.8
0.81 (0.69–0.95)*
1.31 (0.98–1.77)
Midwest
21.3
18.3
5.2
0.56 (0.47–0.66)*
0.13 (0.08–0.20)*
South
34.9
40.4
28.9
1.00 (reference)
1.00 (reference)
West
26.2
20.9
40.2
0.58 (0.50–0.69)*
1.50 (1.13–1.99)*
Note: Percentage values per group are shown except for age († median). Annualized relative hospital cesarean hysterectomy volume: low-volume (5 cases), mid-volume (>5 but <25 cases), and high-volume (≥25 cases). A multinomial regression model was used for analysis to examine the difference in characteristics across the 3 groups, and effect size with aOR and corresponding 95%CI is shown in comparison to the low-volume group. **included Medicare, no charge, other, and unknown.
Prior Table 2 was incorrect and the results of revised volume-outcome relationship are shown in corrected Table 2 below. Patients in the high-volume group were 23% less likely to have the measured surgical morbidity compared to those in the low-volume group (56.7% vs. 62.7%, adjusted-odds ratio 0.77, 95% confidence interval 0.62–0.96) in multivariable analysis. This association remained when patients in the high-volume group were compared to those in the mid-volume group (56.7% vs. 64.5%, adjusted-odds ratio 0.73, 95% confidence interval 0.60–0.91).
TABLE 2. Surgical morbidity per cesarean hysterectomy volume (multivariable analysis).
Characteristic
(%)
aOR (95%CI)
Hospital surgical volumea
Low-volume
62.7
1.00 (reference)
Mid-volume
64.5
1.05 (0.93–1.18)
High-volume
56.7
0.77 (0.62–0.96)*
Age (years)
—
0.99 (0.98–1.00)
Year
2016
66.4
1.00 (reference)
2017
63.5
0.89 (0.78–1.03)
2018
59.9
0.77 (0.67–0.88)*
Race/ethnicity
White
63.0
0.83 (0.71–0.96)*
Black
62.2
1.02 (0.85–1.22)
Hispanic
65.0
1.00 (reference)
Asian
68.1
1.04 (0.80–1.36)
Others
50.0
0.62 (0.48–0.78)*
Unknown
67.9
0.93 (0.70–1.25)
Primary expected payer
Medicaid
59.9
1.00 (reference)
Private including HMO
65.6
1.42 (1.24–1.62)*
Self-pay
76.9
2.37 (1.53–3.67)*
Others
67.3
1.61 (1.21–2.15)*
Median household income
1st QT (lowest)
59.2
1.00 (reference)
2nd QT
69.0
1.57 (1.35–1.82)*
3rd QT
58.9
0.85 (0.73–0.99)*
4th QT (highest)
64.6
1.11 (0.94–1.32)
Unknown
78.9
2.35 (1.39–3.98)
Obesity
No
63.6
1.00 (reference)
Yes
60.6
0.95 (0.82–1.10)
Diabetes mellitus
No
64.1
1.00 (reference)
Yes
57.9
0.82 (0.70–0.95)*
Hypertensive disease
No
64.9
1.00 (reference)
Yes
54.5
0.74 (0.64–0.85)*
Prior cesarean delivery
No
64.8
1.00 (reference)
Yes
62.5
0.83 (0.73–0.95)*
Placenta previa
No
53.1
1.00 (reference)
Yes
71.9
2.33 (2.08–2.60)*
PAS type
Accreta
63.3
1.00 (reference)
Increta
62.7
0.94 (0.79–1.12)
Percreta
61.7
0.98 (0.83–1.16)
Hospital bed capacity
Small
62.0
1.00 (reference)
Medium
62.2
0.98 (0.78–1.23)
Large
63.4
1.00 (0.82–1.23)
Hospital teaching status
Non-urban teaching
64.2
1.00 (reference)
Urban teaching
62.9
0.96 (0.81–1.15)
Hospital region
Northeast
59.1
1.00 (reference)
Midwest
66.8
1.42 (1.18–1.71)*
South
62.7
1.25 (1.07–1.45)*
West
63.9
1.20 (1.02–1.43)*
Note: A binary logistic regression model for multivariable analysis to examine the association between surgical volume and predetermined surgical complications (hemorrhage, shock, coagulopathy, urinary tract injury, and death). High-volume group was also associated with 27% decreased risk of surgical complication compared to mid-volume group (aOR 0.73, 95% CI 0.60–0.91).
Abbreviations: aOR, adjusted-odds ratio; and CI, confidence interval.
a Annualized relative hospital cesarean hysterectomy volume: low-volume (5 cases), medium-volume (>5 but <25 cases), and high-volume (≥25 cases).