Correction to Hospital surgical volume–outcome relationship in caesarean hysterectomy for placenta accreta spectrum

{"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 (&gt;5 but &lt;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> &lt; 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 (&gt;5 but &lt;25 cases), and high-volume (≥25 cases). </li>\n<li title=\"Footnote 2\"><span>* </span>\n<i>p</i> &lt; 0.05. </li>\n</ul>\n</div>\n<div></div>\n</div>","PeriodicalId":8984,"journal":{"name":"BJOG: An International Journal of Obstetrics & Gynaecology","volume":null,"pages":null},"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}
引用次数: 0

Abstract

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. BJOG 2022; 129: 986–993. https://doi.org/10.1111/1471-0528.16993

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:
  1. 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.
Abstract Image
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.
  1. 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).
Abstract Image
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.
  1. 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.
  • Abbreviations: aOR, adjusted odds ratio; CI, confidence interval; QT, quartile; and PAS, placenta accreta spectrum.
  • a Suppressed per the HCUP guidelines.
  • * p < 0.05.
  1. 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).
  • * p < 0.05.
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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
Matsuo, K, Youssefzadeh, AC, Mandelbaum, RS, Sangara, RN, Matsuzaki, S, Matsushima, K, Klar, M, Ouzounian, JG, Wright, JD.剖腹产子宫切除术治疗胎盘早剥谱系中医院手术量与手术结果的关系。BJOG 2022; 129:https://doi.org/10.1111/1471-0528.16993The 作者希望纠正他们在评估剖腹产子宫切除术住院量与胎盘早剥孕妇手术发病率之间关系的调查中的分析方法。在之前的分析中,他们通过使用匿名医院分类器,将 3 年研究期间因胎盘早剥而进行剖腹产子宫切除术的患者人数相加,计算出相对医院手术量。他们希望澄清的是,这一分析模式应更正为年化数字。通过这种年化方式,计算出了每年剖腹产子宫切除术的相对医院数量。作者发现了以下错误:之前的图 1 不正确,根据修订后的剖腹产子宫切除术相对住院量计算的患者分布情况见下文更正后的图 1。研究中近三分之二的患者接受了剖腹产子宫切除术,而医院的相对手术量为每年 5 例。研究人群中有近 10% 的患者在相对手术量为每年 15 例或更多的中心接受了剖腹产子宫切除术。图中显示了加权模型中一年胎盘早剥谱的年化相对医院剖宫产手术量的分布。SV, 剖宫产子宫切除术的年化相对医院手术量。之前的图 2 有误,针对测量的手术发病率(预先定义为出血、凝血功能障碍、休克、尿路损伤和死亡),修订后的相对手术量切点分析结果显示在以下经更正的图 2 中。相对医院手术量在 25 例或以上时,手术发病率明显较低(56.7% 对 63.6%,P = 0.002)。在此基础上,研究人群中的患者被分为以下三组:2705 例(45.0%)患者在医院相对手术量为每年 5 例的中心进行了剖腹产子宫切除术(低手术量组);2820 例(46.9%)患者在医院相对手术量每年超过 5 例但少于 25 例的中心进行了剖腹产子宫切除术(中手术量组);485 例(8.1%)患者在医院相对手术量每年少于 25 例的中心进行了剖腹产子宫切除术(高手术量组)。图 2在图形浏览器中打开PowerPoint剖腹产子宫切除术医院相对手术量与手术发病率之间的关系。共测试了 11 个模型来检验剖宫产手术相对住院量与测量的手术结果(出血、休克、凝血功能障碍、尿路损伤和死亡)之间的关系:线性模型、对数模型、逆模型、二次模型、三次模型、幂模型、复合模型、S 模型、逻辑模型、增长模型和指数模型。在具有统计学意义的模型中,选择 p 值最小的模型进行分析(立方模型,p = 6 × 10-5)。以自动方式,通过立方曲线建模确定切点的反射点(≥25 例,p = 0.002)。根据所选模型,显示了每个切点的手术发病率。点代表观察值,条代表标准误差。所有分析均基于全国估算的加权模型。之前的表 1 有误,根据修订后的暴露分组得出的患者水平特征见下文更正后的表 1。与低剂量组的患者相比,中剂量组和高剂量组的患者更有可能患有内科合并症和更严重的胎盘植入谱。与低容量组的患者相比,中容量组和高容量组的患者也更有可能出现胎盘早剥,这是产前疑似病例的代名词。每个剖宫产子宫切除术量的患者人口统计学特征(多变量分析).CharacteristicLowMidHighMid vs. lowHigh 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)*年份201632.031.425.81.00(参考)1.00(参考)201731.132.834.01.11(0.97-1.28)0.80(0.62-1.03)201837.035.840.21.15(1.00-1.32)0.79(0.61-1.03)种族/民族白43.139.233.01.00(参考)1.00(参考)黑15.519.722.71.33(1.13-1.58)*1.73(1.28-2.35)*西班牙裔24.425.527.81.37(1.17-1.60)*1.47(1.09-1.98)*亚洲人6.75.05.20.82(0.63-1.07)0.84(0.51-1.37)其他5.97.1a1.46(1.14-1.88)*0.46(0.23-0.
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Parents', Families', Communities' and Healthcare Professionals' Experiences of Care Following Neonatal Death in Healthcare Facilities in LMICs: A Systematic Review and Meta-Ethnography. Birth Outcomes After Pertussis and Influenza Diagnosed in Pregnancy: A Retrospective, Population-Based Study. Maternal Lipids in Pregnancy and Later Life Dyslipidemia: The POUCHmoms Longitudinal Cohort Study. Unpacking the Complex Relationship Between Postpartum Haemorrhage and Cardiovascular Disease A Comment on Green Top Guideline No. 31: Investigating and Care in the Small-For-Gestational-Age and Growth Restricted Foetus
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