Maternal and Fetal Outcomes in Pregnant Women With Lung Cancer: A Population-Based Study on 9 Million Pregnancies and 40 Cases of Lung Cancer

Samantha Jacobson, Ahmad Badeghiesh, Haitham Baghlaf, Noah Margolese, Michael H. Dahan
{"title":"Maternal and Fetal Outcomes in Pregnant Women With Lung Cancer: A Population-Based Study on 9 Million Pregnancies and 40 Cases of Lung Cancer","authors":"Samantha Jacobson, Ahmad Badeghiesh, Haitham Baghlaf, Noah Margolese, Michael H. Dahan","doi":"10.1111/1471-0528.18090","DOIUrl":null,"url":null,"abstract":"<p>Lung cancer during pregnancy is exceedingly rare, with only 93 cases reported in the literature from 1953 to 2024 [<span>1</span>]. It carries the highest mortality rate of cancers in pregnancy (64.3%) [<span>2</span>] and increases risks of placental abnomalities, preterm delivery and low birth weight, with delayed diagnosis often due to nonspecific symptoms [<span>1, 2</span>]. Using a 9-million patient database, we identified 40 additional cases, analysed independently in this study, bringing the total to 133. The objective is to evaluate maternal and fetal outcomes using this dataset, comparing pregnancies with and without lung cancer.</p>\n<p>We conducted a retrospective population-based study using data from the Health Care Cost and Utilisation Project-Nationwide Inpatient Sample (HCUP-NIS) database (2004–2014). Lung cancer cases were identified using the ICD-9 code 162.x. The study group included pregnant woman with lung cancer, while all other deliveries were controls. Categorical variables were compared using chi-squared tests, except when any cell frequency was less than 5, in which case Fisher's exact test was applied to ensure validity. Logistic regression analysed associations between lung cancer and maternal and fetal outcomes, estimating odds ratios (ORs) and 95% confidence intervals (CIs) adjusting for potential confounders, including maternal age, race, income, insurance type, smoking history, obesity, preexisting hypertension and diabetes.</p>\n<p>Maternal characteristics are summarised in Table 1. Women with lung cancer were older, with significantly higher smoking rates (<i>p</i> = 0.01), chronic hypertension and pregestational diabetes (<i>p</i> &lt; 0.0001). There were no significant differences in racial distribution, income quartiles, obesity, previous caesarean sections, thyroid disease or illicit drug. Medicaid and private insurance plans were more prevalent in the lung cancer group (<i>p</i> &lt; 0.0001). Table 2 presents pregnancy, delivery and neonatal outcomes. Women with lung cancer had higher risks of placenta previa (OR: 5.67, 95% CI: 1.36–23.65, <i>p</i> = 0.017), abruptio placenta (OR: 4.99, 95% CI: 1.49–16.74, <i>p</i> = 0.009), operative vaginal delivery (OR: 4.88, 95% CI: 2.14–11.11, <i>p</i> &lt; 0.001), transfusion (OR: 8.92, 95% CI: 3.28–24.28, <i>p</i> &lt; 0.001), venous thromboembolism (VTE) (OR:21.83, 95% CI: 2.92–163.47, <i>p</i> &lt; 0.001), disseminated intravascular coagulation (DIC) (OR: 8.45, 95% CI: 1.14–62.42, <i>p</i> = 0.04) and maternal death (OR: 195.02, 95% CI: 40.61–936.55, <i>p</i> &lt; 0.001), though differences in spontaneous vaginal delivery became non-significant after adjustment (OR: 0.58, 95% CI: 0.30–1.14, <i>p</i> = 0.112). Neonatal outcomes were similar between groups.</p>\n<div>\n<header><span>TABLE 1. </span>Maternal characteristics of women with and without lung cancer who delivered between 2004 and 2014.</header>\n<div tabindex=\"0\">\n<table>\n<thead>\n<tr>\n<th>Characteristics</th>\n<th>Lung cancer <i>N</i> = 40</th>\n<th>Control <i>N</i> = 9 096 738 (%)</th>\n<th>\n<i>p</i>\n</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td colspan=\"3\">Age (years)</td>\n<td rowspan=\"4\">&lt; 0.0001</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">&lt; 25</td>\n<td>&lt; 11</td>\n<td>3 455 851 (38%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">25–34</td>\n<td>&lt; 11</td>\n<td>4 299 894 (47.3%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">≥ 35</td>\n<td>27 (67.5%)</td>\n<td>1 340 993 (14.7%)</td>\n</tr>\n<tr>\n<td colspan=\"3\">Race</td>\n<td rowspan=\"5\">0.09</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">White</td>\n<td>27 (67.5%)</td>\n<td>4 500 946 (49.5%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Black</td>\n<td>&lt; 11</td>\n<td>1 690 049 (18.6%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Hispanic</td>\n<td>&lt; 11</td>\n<td>2 034 092 (22.4%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Others</td>\n<td>&lt; 11</td>\n<td>871 661 (9.6%)</td>\n</tr>\n<tr>\n<td colspan=\"3\">Income quartiles</td>\n<td rowspan=\"5\">0.56</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Less than 39 000</td>\n<td>&lt; 11</td>\n<td>2 218 131 (24.4%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">$39 000-47 999</td>\n<td>12 (30%)</td>\n<td>3 080 118 (33.9%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">$48 000-62 999</td>\n<td>&lt; 11</td>\n<td>2 416 127 (26.6%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">$63 000 or more</td>\n<td>&lt; 11</td>\n<td>1 382 372 (15.2%)</td>\n</tr>\n<tr>\n<td colspan=\"3\">Insurance plan type</td>\n<td rowspan=\"6\">&lt; 0.0001</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Medicare</td>\n<td>&lt; 11</td>\n<td>56 599 (0.62%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Medicaid</td>\n<td>12 (30%)</td>\n<td>3 882 764 (42.7%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Private including HMO</td>\n<td>21 (52.5%)</td>\n<td>4 606 952 (50.6%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Self-pay</td>\n<td>&lt; 11</td>\n<td>288 435 (3.2%)</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Other</td>\n<td>&lt; 11</td>\n<td>261 998 (2.9%)</td>\n</tr>\n<tr>\n<td>Obesity (BMI ≥ 30 kg/m<sup>2</sup>)</td>\n<td>&lt; 11</td>\n<td>324 174 (3.6%)</td>\n<td>0.65</td>\n</tr>\n<tr>\n<td>Previous CS</td>\n<td>&lt; 11</td>\n<td>1 452 485 (16%)</td>\n<td>0.55</td>\n</tr>\n<tr>\n<td>Tobacco Smoking during pregnancy</td>\n<td>&lt; 11</td>\n<td>443 584 (4.9%)</td>\n<td>0.01</td>\n</tr>\n<tr>\n<td>Chronic HTN</td>\n<td>&lt; 11</td>\n<td>165 226 (1.8%)</td>\n<td>&lt; 0.0001</td>\n</tr>\n<tr>\n<td>Pregestational DM</td>\n<td>&lt; 11</td>\n<td>86 611 (0.95%)</td>\n<td>&lt; 0.0001</td>\n</tr>\n<tr>\n<td>Thyroid disease</td>\n<td>&lt; 11</td>\n<td>223 275 (2.5%)</td>\n<td>0.08</td>\n</tr>\n<tr>\n<td>Illicit drug use</td>\n<td>&lt; 11</td>\n<td>125 618 (1.4%)</td>\n<td>0.43</td>\n</tr>\n</tbody>\n</table>\n</div>\n<div>\n<ul>\n<li>\n<i>Note:</i> Per the HCUP database regulations when less than 11 cases of an outcome occur it must be represented as &lt; 11 to preserve patient anonymity. </li>\n<li> Abbreviations: CS, caesarean section; DM, diabetes mellitus; HTN, hypertension. </li>\n</ul>\n</div>\n<div></div>\n</div>\n<div>\n<header><span>TABLE 2. </span>Pregnancy, delivery and neonatal outcomes for woman with and without lung cancer who delivered between 2004 and 2014.</header>\n<div tabindex=\"0\">\n<table>\n<thead>\n<tr>\n<th>Outcomes</th>\n<th>Lung cancer <i>N</i> = 40</th>\n<th>Control <i>N</i> = 9 096 738 (%)</th>\n<th>Crude OR (95% CI)</th>\n<th>\n<i>p</i>\n</th>\n<th>Adjusted OR (95% CI)</th>\n<th><i>p</i> Adjusted</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td colspan=\"7\">Pregnancy outcomes</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Pregnancy-induced hypertension</td>\n<td>&lt; 11</td>\n<td>673 747 (7.4%)</td>\n<td>0.66 (0.16–2.73)</td>\n<td>0.56</td>\n<td>0.44 (0.10–1.91)</td>\n<td>0.27</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Gestational hypertension</td>\n<td>&lt; 11</td>\n<td>301 606 (3.3%)</td>\n<td>0.75 (0.10–5.44)</td>\n<td>0.77</td>\n<td>0.78 (0.11–5.66)</td>\n<td>0.83</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Preeclampsia</td>\n<td>&lt; 11</td>\n<td>327 389 (3.6%)</td>\n<td>0.69 (0.09–5.00)</td>\n<td>0.71</td>\n<td>0.63 (0.09–4.60)</td>\n<td>0.65</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">GDM</td>\n<td>&lt; 11</td>\n<td>523 191 (5.8%)</td>\n<td>0.42 (0.06–3.06)</td>\n<td>0.39</td>\n<td>0.27 (0.04–1.94)</td>\n<td>0.19</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Placenta previa</td>\n<td>&lt; 11</td>\n<td>49 980 (0.55%)</td>\n<td>9.53 (2.30–39.42)</td>\n<td>0.002</td>\n<td>5.67 (1.36–23.65)</td>\n<td>0.017</td>\n</tr>\n<tr>\n<td colspan=\"7\">Delivery outcomes</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">PPROM</td>\n<td>&lt; 11</td>\n<td>103 617 (1.1%)</td>\n<td>2.22 (0.31–16.20)</td>\n<td>0.43</td>\n<td>1.63 (0.22–11.98)</td>\n<td>0.63</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Preterm delivery</td>\n<td>&lt; 11</td>\n<td>653 891 (7.2%)</td>\n<td>1.44 (0.51–4.03)</td>\n<td>0.49</td>\n<td>0.90 (0.31–2.65)</td>\n<td>0.85</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Abruptio placenta</td>\n<td>&lt; 11</td>\n<td>97 476 (1.1%)</td>\n<td>7.49 (2.31–24.28)</td>\n<td>0.001</td>\n<td>4.99 (1.49–16.74)</td>\n<td>0.009</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Operative vaginal delivery</td>\n<td>&lt; 11</td>\n<td>489 393 (5.4%)</td>\n<td>4.40 (2.03–9.54)</td>\n<td>&lt; 0.0001</td>\n<td>4.88 (2.14–11.11)</td>\n<td>&lt; 0.001</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">CS</td>\n<td>17 (42.5%)</td>\n<td>2 939 901 (32.3%)</td>\n<td>1.55 (0.83–2.90)</td>\n<td>0.17</td>\n<td>0.94 (0.48–1.83)</td>\n<td>0.85</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Spontaneous vaginal delivery</td>\n<td>15 (37.5%)</td>\n<td>5 667 454 (62.3%)</td>\n<td>0.36 (0.19–0.69)</td>\n<td>0.002</td>\n<td>0.58 (0.30–1.14)</td>\n<td>0.112</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">PPH</td>\n<td>&lt; 11</td>\n<td>263 964 (2.9%)</td>\n<td>0.86 (0.12–6.24)</td>\n<td>0.88</td>\n<td>0.79 (0.11–5.75)</td>\n<td>0.81</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Transfusion</td>\n<td>&lt; 11</td>\n<td>90 362 (0.99%)</td>\n<td>14.58 (5.70–37.29)</td>\n<td>&lt; 0.0001</td>\n<td>8.92 (3.28–24.28)</td>\n<td>&lt; 0.001</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">VTE</td>\n<td>&lt; 11</td>\n<td>5309 (0.06%)</td>\n<td>43.91 (6.03–319.65)</td>\n<td>&lt; 0.0001</td>\n<td>21.83 (2.92–163.47)</td>\n<td>0.003</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">DIC</td>\n<td>&lt; 11</td>\n<td>18 243 (0.20%)</td>\n<td>12.76 (1.75–92.88)</td>\n<td>0.01</td>\n<td>8.45 (1.14–62.42)</td>\n<td>0.04</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Maternal death</td>\n<td>&lt; 11</td>\n<td>636 (0.007%)</td>\n<td>752.74 (181.22–3126.75)</td>\n<td>&lt; 0.0001</td>\n<td>195.02 (40.61–936.55)</td>\n<td>&lt; 0.001</td>\n</tr>\n<tr>\n<td colspan=\"7\">Neonatal outcomes</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">SGA</td>\n<td>&lt; 11</td>\n<td>198 069 (2.2%)</td>\n<td>0.89</td>\n<td>1.15 (0.16–8.38)</td>\n<td>0.85 (0.11–6.30)</td>\n<td>0.87</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">IUFD</td>\n<td>&lt; 11</td>\n<td>38 258 (0.42%)</td>\n<td>0.07</td>\n<td>6.07 (0.83–44.19)</td>\n<td>3.25 (0.43–24.64)</td>\n<td>0.25</td>\n</tr>\n</tbody>\n</table>\n</div>\n<div>\n<ul>\n<li>\n<i>Note:</i> Per the HCUP database regulations when less than 11 cases of an outcome occur it must be represented as &lt; 11 to preserve patient anonymity. </li>\n<li> Abbreviations: CS, caesareancesarean section; DIC, disseminated intravascular coagulation; IUFD, intrauterine fetal demise; PPH, postpartum haemorrhagehemorrhage; PPROM, preterm premature rupture of membrane; SGA, small for gestational age; VTE, venous thromboembolism. </li>\n</ul>\n</div>\n<div></div>\n</div>\n<p>These findings align with existing literature indicating that pregnant women with lung cancer are older and present with comorbidities like chronic hypertension and pregestational diabetes [<span>1</span>], which can complicate pregnancy. Risk factors for placenta previa, including advanced maternal age and smoking [<span>3</span>], were also more common in the lung cancer group. The association with placenta previa could be due to vascular changes induced by cancer or its treatment; it is also possible that chemotherapy may impair placental development by inhibiting endothelial cell proliferation and angiogenic signalling via VEGF, reducing vascularisation [<span>4</span>]. However, we recognise that this finding may have been incidental rather than causally related. Increased incidence of abruptio placenta, VTE and DIC could be attributed to the hypercoagulable state in pregnancy as it increases clotting factors and promotes thrombosis [<span>5</span>]. This is further compounded by cancer-related factors including venous stasis, tumour-mediated release of procoagulant tissue factor and inflammatory cytokines like TNF-alpha and PAI-1 [<span>5</span>]. Abruptio placenta and placenta previa are known triggers for DIC [<span>6</span>], and cancer is associated with vascular placental [<span>6</span>] and coagulation abnormalities, potentially necessitating operative delivery and/or transfusion and sometimes resulting to maternal death. Although, the cancer itself is the most likely cause of the maternal death [<span>2</span>], delays in cancer treatment due to concerns about potential fetal harm can exacerbate outcomes.</p>\n<p>Limitations include the retrospective design and reliance on the HCUP-NIS database, which lacks granular clinical details such as cancer staging, treatment regimens and smoking history. This limits analysis of cancer treatments impact on pregnancy outcomes. ORs were calculated based on the specific number of cases and controls within each group, with outcomes involving fewer than 11 cases represented as &lt; 11 in accordance with HCUP database regulations to maintain patient anonymity. The study period (2004–2014) reflects ICD-9 use, as ICD-10 codes, introduced in 2015, are not directly comparable. This may affect the generalisability of findings to more recent advancements in cancer treatment and prenatal care. The rarity of lung cancer during pregnancy resulted in a small sample size, reducing statistical power and increasing the risk of false-positive results due to multiple comparisons. While we conducted a matched analysis to address confounding, the limited power of this approach failed to detect significant differences, even for outcomes like maternal death. While we acknowledge overfitting as a potential limitation, our unmatched analysis offers more robust insights, despite the inherent challenges of studying rare conditions.</p>\n<p>By analysing 40 cases, this study quantified risks such as VTE (<i>p</i> &lt; 0.001) and DIC (<i>p</i> = 0.04) and offered new insights into the association between lung cancer and placental complications. These findings enhance the understanding of specific risks and support the development of tailored antenatal care strategies for this high-risk population, including recommendations for referral to high-risk units and structured follow-up of these pregnancies.</p>","PeriodicalId":8984,"journal":{"name":"BJOG: An International Journal of Obstetrics & Gynaecology","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-02-11","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/10.1111/1471-0528.18090","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

Lung cancer during pregnancy is exceedingly rare, with only 93 cases reported in the literature from 1953 to 2024 [1]. It carries the highest mortality rate of cancers in pregnancy (64.3%) [2] and increases risks of placental abnomalities, preterm delivery and low birth weight, with delayed diagnosis often due to nonspecific symptoms [1, 2]. Using a 9-million patient database, we identified 40 additional cases, analysed independently in this study, bringing the total to 133. The objective is to evaluate maternal and fetal outcomes using this dataset, comparing pregnancies with and without lung cancer.

We conducted a retrospective population-based study using data from the Health Care Cost and Utilisation Project-Nationwide Inpatient Sample (HCUP-NIS) database (2004–2014). Lung cancer cases were identified using the ICD-9 code 162.x. The study group included pregnant woman with lung cancer, while all other deliveries were controls. Categorical variables were compared using chi-squared tests, except when any cell frequency was less than 5, in which case Fisher's exact test was applied to ensure validity. Logistic regression analysed associations between lung cancer and maternal and fetal outcomes, estimating odds ratios (ORs) and 95% confidence intervals (CIs) adjusting for potential confounders, including maternal age, race, income, insurance type, smoking history, obesity, preexisting hypertension and diabetes.

Maternal characteristics are summarised in Table 1. Women with lung cancer were older, with significantly higher smoking rates (p = 0.01), chronic hypertension and pregestational diabetes (p < 0.0001). There were no significant differences in racial distribution, income quartiles, obesity, previous caesarean sections, thyroid disease or illicit drug. Medicaid and private insurance plans were more prevalent in the lung cancer group (p < 0.0001). Table 2 presents pregnancy, delivery and neonatal outcomes. Women with lung cancer had higher risks of placenta previa (OR: 5.67, 95% CI: 1.36–23.65, p = 0.017), abruptio placenta (OR: 4.99, 95% CI: 1.49–16.74, p = 0.009), operative vaginal delivery (OR: 4.88, 95% CI: 2.14–11.11, p < 0.001), transfusion (OR: 8.92, 95% CI: 3.28–24.28, p < 0.001), venous thromboembolism (VTE) (OR:21.83, 95% CI: 2.92–163.47, p < 0.001), disseminated intravascular coagulation (DIC) (OR: 8.45, 95% CI: 1.14–62.42, p = 0.04) and maternal death (OR: 195.02, 95% CI: 40.61–936.55, p < 0.001), though differences in spontaneous vaginal delivery became non-significant after adjustment (OR: 0.58, 95% CI: 0.30–1.14, p = 0.112). Neonatal outcomes were similar between groups.

TABLE 1. Maternal characteristics of women with and without lung cancer who delivered between 2004 and 2014.
Characteristics Lung cancer N = 40 Control N = 9 096 738 (%) p
Age (years) < 0.0001
< 25 < 11 3 455 851 (38%)
25–34 < 11 4 299 894 (47.3%)
≥ 35 27 (67.5%) 1 340 993 (14.7%)
Race 0.09
White 27 (67.5%) 4 500 946 (49.5%)
Black < 11 1 690 049 (18.6%)
Hispanic < 11 2 034 092 (22.4%)
Others < 11 871 661 (9.6%)
Income quartiles 0.56
Less than 39 000 < 11 2 218 131 (24.4%)
$39 000-47 999 12 (30%) 3 080 118 (33.9%)
$48 000-62 999 < 11 2 416 127 (26.6%)
$63 000 or more < 11 1 382 372 (15.2%)
Insurance plan type < 0.0001
Medicare < 11 56 599 (0.62%)
Medicaid 12 (30%) 3 882 764 (42.7%)
Private including HMO 21 (52.5%) 4 606 952 (50.6%)
Self-pay < 11 288 435 (3.2%)
Other < 11 261 998 (2.9%)
Obesity (BMI ≥ 30 kg/m2) < 11 324 174 (3.6%) 0.65
Previous CS < 11 1 452 485 (16%) 0.55
Tobacco Smoking during pregnancy < 11 443 584 (4.9%) 0.01
Chronic HTN < 11 165 226 (1.8%) < 0.0001
Pregestational DM < 11 86 611 (0.95%) < 0.0001
Thyroid disease < 11 223 275 (2.5%) 0.08
Illicit drug use < 11 125 618 (1.4%) 0.43
  • Note: Per the HCUP database regulations when less than 11 cases of an outcome occur it must be represented as < 11 to preserve patient anonymity.
  • Abbreviations: CS, caesarean section; DM, diabetes mellitus; HTN, hypertension.
TABLE 2. Pregnancy, delivery and neonatal outcomes for woman with and without lung cancer who delivered between 2004 and 2014.
Outcomes Lung cancer N = 40 Control N = 9 096 738 (%) Crude OR (95% CI) p Adjusted OR (95% CI) p Adjusted
Pregnancy outcomes
Pregnancy-induced hypertension < 11 673 747 (7.4%) 0.66 (0.16–2.73) 0.56 0.44 (0.10–1.91) 0.27
Gestational hypertension < 11 301 606 (3.3%) 0.75 (0.10–5.44) 0.77 0.78 (0.11–5.66) 0.83
Preeclampsia < 11 327 389 (3.6%) 0.69 (0.09–5.00) 0.71 0.63 (0.09–4.60) 0.65
GDM < 11 523 191 (5.8%) 0.42 (0.06–3.06) 0.39 0.27 (0.04–1.94) 0.19
Placenta previa < 11 49 980 (0.55%) 9.53 (2.30–39.42) 0.002 5.67 (1.36–23.65) 0.017
Delivery outcomes
PPROM < 11 103 617 (1.1%) 2.22 (0.31–16.20) 0.43 1.63 (0.22–11.98) 0.63
Preterm delivery < 11 653 891 (7.2%) 1.44 (0.51–4.03) 0.49 0.90 (0.31–2.65) 0.85
Abruptio placenta < 11 97 476 (1.1%) 7.49 (2.31–24.28) 0.001 4.99 (1.49–16.74) 0.009
Operative vaginal delivery < 11 489 393 (5.4%) 4.40 (2.03–9.54) < 0.0001 4.88 (2.14–11.11) < 0.001
CS 17 (42.5%) 2 939 901 (32.3%) 1.55 (0.83–2.90) 0.17 0.94 (0.48–1.83) 0.85
Spontaneous vaginal delivery 15 (37.5%) 5 667 454 (62.3%) 0.36 (0.19–0.69) 0.002 0.58 (0.30–1.14) 0.112
PPH < 11 263 964 (2.9%) 0.86 (0.12–6.24) 0.88 0.79 (0.11–5.75) 0.81
Transfusion < 11 90 362 (0.99%) 14.58 (5.70–37.29) < 0.0001 8.92 (3.28–24.28) < 0.001
VTE < 11 5309 (0.06%) 43.91 (6.03–319.65) < 0.0001 21.83 (2.92–163.47) 0.003
DIC < 11 18 243 (0.20%) 12.76 (1.75–92.88) 0.01 8.45 (1.14–62.42) 0.04
Maternal death < 11 636 (0.007%) 752.74 (181.22–3126.75) < 0.0001 195.02 (40.61–936.55) < 0.001
Neonatal outcomes
SGA < 11 198 069 (2.2%) 0.89 1.15 (0.16–8.38) 0.85 (0.11–6.30) 0.87
IUFD < 11 38 258 (0.42%) 0.07 6.07 (0.83–44.19) 3.25 (0.43–24.64) 0.25
  • Note: Per the HCUP database regulations when less than 11 cases of an outcome occur it must be represented as < 11 to preserve patient anonymity.
  • Abbreviations: CS, caesareancesarean section; DIC, disseminated intravascular coagulation; IUFD, intrauterine fetal demise; PPH, postpartum haemorrhagehemorrhage; PPROM, preterm premature rupture of membrane; SGA, small for gestational age; VTE, venous thromboembolism.

These findings align with existing literature indicating that pregnant women with lung cancer are older and present with comorbidities like chronic hypertension and pregestational diabetes [1], which can complicate pregnancy. Risk factors for placenta previa, including advanced maternal age and smoking [3], were also more common in the lung cancer group. The association with placenta previa could be due to vascular changes induced by cancer or its treatment; it is also possible that chemotherapy may impair placental development by inhibiting endothelial cell proliferation and angiogenic signalling via VEGF, reducing vascularisation [4]. However, we recognise that this finding may have been incidental rather than causally related. Increased incidence of abruptio placenta, VTE and DIC could be attributed to the hypercoagulable state in pregnancy as it increases clotting factors and promotes thrombosis [5]. This is further compounded by cancer-related factors including venous stasis, tumour-mediated release of procoagulant tissue factor and inflammatory cytokines like TNF-alpha and PAI-1 [5]. Abruptio placenta and placenta previa are known triggers for DIC [6], and cancer is associated with vascular placental [6] and coagulation abnormalities, potentially necessitating operative delivery and/or transfusion and sometimes resulting to maternal death. Although, the cancer itself is the most likely cause of the maternal death [2], delays in cancer treatment due to concerns about potential fetal harm can exacerbate outcomes.

Limitations include the retrospective design and reliance on the HCUP-NIS database, which lacks granular clinical details such as cancer staging, treatment regimens and smoking history. This limits analysis of cancer treatments impact on pregnancy outcomes. ORs were calculated based on the specific number of cases and controls within each group, with outcomes involving fewer than 11 cases represented as < 11 in accordance with HCUP database regulations to maintain patient anonymity. The study period (2004–2014) reflects ICD-9 use, as ICD-10 codes, introduced in 2015, are not directly comparable. This may affect the generalisability of findings to more recent advancements in cancer treatment and prenatal care. The rarity of lung cancer during pregnancy resulted in a small sample size, reducing statistical power and increasing the risk of false-positive results due to multiple comparisons. While we conducted a matched analysis to address confounding, the limited power of this approach failed to detect significant differences, even for outcomes like maternal death. While we acknowledge overfitting as a potential limitation, our unmatched analysis offers more robust insights, despite the inherent challenges of studying rare conditions.

By analysing 40 cases, this study quantified risks such as VTE (p < 0.001) and DIC (p = 0.04) and offered new insights into the association between lung cancer and placental complications. These findings enhance the understanding of specific risks and support the development of tailored antenatal care strategies for this high-risk population, including recommendations for referral to high-risk units and structured follow-up of these pregnancies.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
妊娠期肺癌极为罕见,从1953年到2024年,仅有93例文献报道[1]。在妊娠期癌症中,肺癌的死亡率最高(64.3%)[2],并且会增加胎盘异常、早产和出生体重不足的风险,而延误诊断往往是由于非特异性症状[1, 2]。我们利用 900 万患者数据库,又发现了 40 例病例,并在本研究中进行了独立分析,使病例总数达到 133 例。我们利用医疗成本与利用项目-全国住院患者样本(HCUP-NIS)数据库(2004-2014 年)中的数据开展了一项基于人群的回顾性研究。研究组包括患有肺癌的孕妇,其他产妇为对照组。分类变量的比较采用卡方检验,但当任何单元频率小于 5 时,则采用费雪精确检验以确保有效性。逻辑回归分析了肺癌与孕产妇和胎儿结局之间的关联,估算了调整潜在混杂因素(包括孕产妇年龄、种族、收入、保险类型、吸烟史、肥胖、既往高血压和糖尿病)后的几率比(OR)和 95% 置信区间(CI)。患肺癌的妇女年龄较大,吸烟率(p = 0.01)、慢性高血压和妊娠糖尿病(p &lt; 0.0001)明显较高。在种族分布、收入四分位数、肥胖、既往剖腹产、甲状腺疾病或非法药物方面没有明显差异。在肺癌组中,医疗补助和私人保险计划更为普遍(p &lt; 0.0001)。表 2 列出了妊娠、分娩和新生儿的结果。患肺癌的妇女发生前置胎盘(OR:5.67,95% CI:1.36-23.65,P = 0.017)、胎盘早剥(OR:4.99,95% CI:1.49-16.74,P = 0.009)、阴道手术分娩(OR:4.88,95% CI:2.14-11.11,P &lt;0.001)、输血(OR:8.92,95% CI:3.28-24.28,P &lt;0.001)、静脉血栓栓塞(VTE)(OR:21.83,95% CI:2.92-163.47,P &lt;0.001)、弥散性血管内凝血(DIC)(OR:8.45,95% CI:1.14-62.42,P = 0.04)和产妇死亡(OR:195.02,95% CI:40.61-936.55,p &lt;0.001),但自然阴道分娩的差异在调整后变得不显著(OR:0.58,95% CI:0.30-1.14,p = 0.112)。各组新生儿结局相似。2004年至2014年期间分娩的患有肺癌和未患有肺癌的产妇特征.特征肺癌N = 40对照N = 9 096 738(%)p年龄(岁)&lt; 0.0001&lt;25&lt;113 455 851(38%)25-34&lt;114 299 894(47.3%)≥3527(67.5%)1 340 993(14.7%)种族0.09白27(67.5%)4 500 946(49.5%)黑人&lt; 111 690 049 (18.6%)西班牙裔&lt; 112 034 092 (22.4%)其他&lt; 11871 661 (9.6%)收入四分位数0.56少于39 000&lt; 112 218 131 (24.4%)$39 000-47 99912 (30%)3 080 118 (33.9%)$48 000-62 999&lt; 112 416 127 (26.6%)$63 000 或以上&lt; 111 382 372 (15.2%)保险计划类型&lt; 0.0001医疗保险&lt; 1156 599 (0.62%)医疗补助12 (30%)3 882 764 (42.7%)私人包括HMO21 (52.5%)4 606 952 (50.6%)自费&lt; 11288 435 (3.2%)其他&lt; 11261 998 (2。9%)Obesity (BMI ≥ 30 kg/m2)&lt; 11324 174 (3.6%)0.65Previous CS&lt; 111 452 485 (16%)0.55Tobacco Smoking during pregnancy&lt; 11443 584 (4.9%)0.01 慢性高血压&lt; 11165 226 (1.8%)&lt; 0.0001妊娠期糖尿病&lt; 1186 611 (0.95%)&lt; 0.0001甲状腺疾病&lt; 11223 275 (2.5%)0.08 非法药物使用&lt; 11125 618 (1.4%)0.43 注:根据 HCUP 数据库规定,当结果发生少于 11 例时,必须表示为&lt; 11,以保护患者的匿名性。 缩写:缩写:CS,剖腹产;DM,糖尿病;HTN,高血压。表 2.2004年至2014年期间,患有肺癌和未患有肺癌的产妇的妊娠、分娩和新生儿结局。结局肺癌N = 40对照N = 9 096 738 (%)Crude OR (95% CI)pAdjusted OR (95% CI)p Adjusted妊娠结局妊娠诱发高血压&lt; 11673 747 (7.4%)0.66(0.16-2.73)0.560.44(0.10-1.91)0.27妊娠高血压&lt; 11301 606(3.3%)0.75(0.10-5.44)0.770.78(0.11-5.66)0.83子痫前期&lt; 11327 389 (3.6%)0.69 (0.09-5.00)0.710.63 (0.09-4.60)0.65GDM&lt; 11523 191 (5.8%)0.42 (0.06-3.06)0.390.27 (0.04-1.94)0.19 前置胎盘&lt; 1149 980 (0.55%)9.53 (2.30-39.42)0.0025.67 (1.36-23.65)0.017 分娩结局PPROM&lt; 11103 617 (1.1%)2.22 (0.31-16.20)0.431.63 (0.22-11.98)0.63 早产&lt; 11653 891 (7.2%)1.44 (0.51-4.03)0.490.90(0.31-2.65)0.85胎盘剥离&lt; 1197 476(1.1%)7.49(2.31-24.28)0.0014.99(1.49-16.74)0.009阴道手术分娩&lt; 11489 393(5.4%)4.40(2.03-9.54)&lt;0.00014.88(2.14-11.11)&lt;0.001CS17(42.5%)2 939 901(32.3%)1.55(0.83-2. 90)0.170.94(0.48-1.83)0.85自然阴道分娩15(37.5%)5 667 454(62.3%)0.36(0.19-0.69)0.0020.58(0.30-1.14)0.112PPH&lt; 11263 964(2.9%)0.86(0.12-6.24)0.880.79(0.11-5.75)0.81输液&lt; 1190 362(0.99%)14.58 (5.70-37.29)&lt; 0.00018.92 (3.28-24.28)&lt; 0.001VTE&lt; 115309 (0.06%)43.91 (6.03-319.65)&lt; 0.000121.83 (2.92-163.47)0.003DIC&lt; 1118 243 (0.20%)12.76 (1.75-92.88)0.018.45 (1.14-62.42)0.04产妇死亡&lt; 11636 (0.007%)752.74 (181.22-3126.75)&lt; 0.0001195.02 (40.61-936.55)&lt; 0.001新生儿结局SGA&lt; 11198 069 (2.2%)0.891.15 (0.16-8.38)0.85 (0.11-6.30)0.87IUFD&lt;1138 258 (0.42%)0.076.07 (0.83-44.19)3.25 (0.43-24.64)0.25注:根据 HCUP 数据库的规定,当出现某种结果的病例少于 11 例时,必须表示为 &lt;11,以保持患者的匿名性。 缩写:缩写:CS,剖腹产;DIC,弥散性血管内凝血;IUFD,宫内胎儿夭折;PPH,产后大出血;PPROM,早产胎膜早破;SGA,胎龄小;VTE,静脉血栓栓塞。这些发现与现有文献一致,表明患有肺癌的孕妇年龄较大,并伴有慢性高血压和妊娠期糖尿病等合并症[1],这可能会使妊娠复杂化。前置胎盘的风险因素,包括高龄产妇和吸烟[3],在肺癌组中也更为常见。与前置胎盘有关的原因可能是癌症或其治疗引起的血管变化;也有可能是化疗通过 VEGF 抑制了内皮细胞增殖和血管生成信号,减少了血管生成,从而影响了胎盘的发育[4]。不过,我们认为这一发现可能是偶然的,而非因果关系。胎盘早剥、VTE 和 DIC 的发病率增加可能与妊娠期的高凝状态有关,因为它会增加凝血因子并促进血栓形成[5]。癌症相关因素(包括静脉淤血、肿瘤介导的促凝血组织因子释放以及 TNF-α 和 PAI-1 等炎性细胞因子)进一步加剧了这一状况 [5]。胎盘破裂和前置胎盘是 DIC 的已知诱因[6],而癌症与血管性胎盘[6]和凝血异常有关,可能需要手术分娩和/或输血,有时会导致产妇死亡。尽管癌症本身最有可能是导致产妇死亡的原因[2],但由于担心对胎儿的潜在伤害而延误癌症治疗,可能会加重结局。局限性包括:该研究采用回顾性设计,并依赖于 HCUP-NIS 数据库,该数据库缺乏癌症分期、治疗方案和吸烟史等详细临床资料。这限制了对癌症治疗对妊娠结局影响的分析。OR是根据每组中病例和对照的具体数量计算的,根据HCUP数据库的规定,少于11例的结果用&lt; 11表示,以保持患者的匿名性。研究期间(2004-2014 年)反映的是 ICD-9 的使用情况,因为 2015 年引入的 ICD-10 编码不具有直接可比性。这可能会影响研究结果与癌症治疗和产前护理领域最新进展的通用性。妊娠期肺癌的罕见性导致样本量较小,从而降低了统计能力,并增加了因多重比较而导致假阳性结果的风险。虽然我们进行了配对分析以解决混杂因素,但这种方法的统计能力有限,即使在孕产妇死亡等结果方面也未能发现显著差异。尽管我们承认过度拟合是一个潜在的局限性,但我们的非匹配分析提供了更有力的见解,尽管研究罕见病症存在固有的挑战。通过分析 40 例病例,本研究量化了 VTE(p &lt; 0.001)和 DIC(p = 0.04)等风险,并对肺癌与胎盘并发症之间的关联提供了新的见解。这些发现加深了人们对特定风险的了解,有助于为这一高风险人群制定量身定制的产前护理策略,包括建议转诊至高风险科室和对这些孕妇进行结构化随访。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Predicting Adverse Perinatal Outcomes in Dichorionic Twin Pregnancies: A Multicentre Cohort Study Reproductive Autonomy: Women's Health and Rights Polyphenols for the Prevention or Management of Preeclampsia: A Systematic Review and Meta-Analysis Publishers' Response to Post-Publication Concerns About Clinical Research in Women's Health Early Menopause Risk in Smokers: Integrating Genetic Susceptibility for Public Health Interventions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1