Risk factors for prolonged mechanical ventilation in critically pregnant women: a retrospective observational study
JialinYang1,2
ZhanqiZhao1,2
MingwangJia1,2
YinlingWang1,2
FangPeng1,2
YichunWang1,2
GuangyuanLiao1,2,3✉Emailicusjps@126.com
1¹Intensive Care Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated HospitalGuangzhou Medical UniversityGuangzhouChina
2²School of Biomedical EngineeringGuangzhou Medical UniversityGuangzhouChina
3Department of Critical Care Medicine, The Third Affiliated HospitalGuangzhou Medical University63 Duobao Road, Liwan District510000GuangzhouGuangdongChina
Jialin Yang1, Zhanqi Zhao2, Mingwang Jia1, Yinling Wang1, Fang Peng1, Yichun Wang1, Guangyuan Liao,1*
¹Intensive Care Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
²School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China
*Corresponding author:
Guangyuan Liao
Department of Critical Care Medicine, The Third Affiliated Hospital, Guangzhou Medical University, 63 Duobao Road, Liwan District, Guangzhou, Guangdong, China, 510000
E- mail: icusjps@126.com
Abstract
Background
Prolonged mechanical ventilation (MV) is associated with increased morbidity and mortality in critically ill pregnant women.This study aimed to identify risk factors associated with the duration of MV in critically ill pregnant women using clinical and laboratory parameters.
Methods
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We conducted a retrospective analysis of pregnant and postpartum women admitted to the intensive care unit(ICU) between January 1, 2019 and April 30, 2025. Patients were stratified into two groups based on MV duration (≤ 24 hours vs. >24 hours). Risk factors were analyzed using multifactorial logistic regression.
Results
Among 621 enrolled patients, 354(57%) required MV for ≤ 24 hours,and 267(43%) for > 24 hours. Significant intergroup differences were observed in body mass index(BMI), mortality, APACHE II score, patients referred by the external hospitals, estimated blood loss(ml), volume of red blood cell transfusion (RBC), volume of plasma transfusion(l), acute kidney injury(AKI) grading (P < 0.001), and myocardial injury(all P < 0.005). Multivariable analysis identified RBC transfusion volume (OR = 2.66, 95% CI: 1.77–3.56; P < 0.001), plasma transfusion volume (OR = 7.823, 95% CI: 4.19–11.46; P < 0.001), and AKI grading (OR = 13.17, 95% CI: 3.64–22.69; P = 0.007) as independent risk factors for prolonged MV.
Conclusions
A
Greater transfusion requirements for RBCs and plasma, along with more severe AKI,are independent risk factors for prolonged MV in critically pregnant women.Close monitoring and early intervention targeting these factors may improve patient outcomes.
Keywords:
mechanical ventilation
pregnancy
critical illness
risk factors
acute kidney injury
transfusion
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Background
Maternal mortality and morbidity remain challenging issues in developing countries. In recent years, the incidence of scarred uterus and complications in late pregnancy has increased significantly with the implementation of two-child and three-child policy in China[1, 2, 3]. Profound physiologic changes affecting the cardiovascular, endocrine, urinary and respiratory systems during pregnancy can predispose women to serious obstetric complications, Furthermore,the need to fetal well-being adds a layer of complexity, making the managemen of critically pregnant women is a significant challenge for ICU clinicians [4, 5].Maternal admission to ICU during pregnancy or postpartum is a marker of severe acute maternal morbidity (SAMM)[6, 7, 8]. Critically pregnant women admitted to the ICU often require invasive hemodynamic monitoring, Mechanical ventilation (MV) and blood purification[9, 10]. The implementation of these measures is associated with prolonged hospital stay, increased cost and poor prognosis.
MV is an important measure of advanced life support, not only provide respiratory support in surgical patients, but also afford active life support in patients with inadequate ventilation. Studies had shown that prolonged mechanical ventilation (PMV) is associated with complications and increased medical cost[11], PMV in critically ill pregnant women has also received increasing attention in recent years. Similar studies have been conducted globally, but the data on MV is relatively less. We conducted a retrospective study, The primary outcome was the risk factors for PMV in critically pregnant women. Secondary outcomes was the the predictive ability of the multivariate regression model.
Material Methods
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This retrospective observational study was conducted in the Third Affiliated Hospital of Guangzhou Medical University (GAMU),a major obstetric critical care center in South China (Guangzhou,Guangdong), We screened the medical records of all pregnant and postpartum women admitted to the ICU between January 1, 2019 and April 30, 2025. The inclusion criteria were: 1. Pregnant or postpartum women. 2. those who requiried invasive mechanical ventilation during their ICU stay. Patients were excluded if they were: 1. under 18 years of age; 2. discharged from the hospital while still requiring mechanical ventilation.
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All patients signed a clinical research informed consent form before treatment, and the study was approved by the Ethics Committee of the Third Affiliated Hospital of Guangzhou Medical University: [2024]No. 167.
Measures
A total of 621 critically ill pregnant women who met the inclusion criteria were enrolled, The primary outcome measure was the duration of mechanical ventilation. The clinical parameters (Table 1) included age, gestational weeks, body mass index(BMI), times of pregnancy, APACHE II score, predicted blood loss, red blood cell transfusion volume, plasma transfusion volume, myocardial injury, acute kidney injury(AKI), hepatic function, and oxygenation index (PaO2/FiO2), the basal value of creatinine.Since there is no universally recognized diagnostic criteria for AKI specific to pregnant women, we applied the Kidney Disease: Improving Global Outcomes (KDIGO) criteria: 1) An increase in serum creatinine by ≥ 0.3 mg/dl (≥ 26.5 µmol/l) within 48 h; 2) An increase in serum creatinine to ≥ 1.5 times baseline, which is known or presumed to have occurred within the prior 7 days; 3) Urine volume ≤ 0.5 ml/kg/h for 6 h. Kidney injury was graded according to the KDIGO classification (Table 1), and myocardial injury was based on troponin/CK-MB exceeding normal reference values.
Table 1
KDIGO classification for AKI
Stage | Serum creatinine | Urine output |
|---|
1 | 1.5–1.9 times baseline OR ≥0.3 mg/dl (≥ 26.5 u mol/l) increase | ≤ 0.5 ml/kg/h for 6–12 hours |
2 | 2.0–2.9 times baseline | < 0.5ml/kg/h for ≥ 12 hours |
3 | 3.0 times baseline OR Increase in serum creatinine to ≥ 4.0 mg/dl (≥ 353.6 u mol/l) OR Initiation of renal replacement therapy OR, In patients < 18 years, decrease in eGFR to < 35 ml/min per 1.73 m2 | < 0.3ml/kg/h for ≥ 24 hours OR Anuria for ≥ 12 hours |
The primary endpoint was the duration of mechanical ventilation (> 24 h vs. ≤24 h) and its independent risk factors. Secondary endpoints included mortality, acute kidney injury (incidence and stage), APACHE II score, oxygenation index, myocardial injury, transfusion requirements, surgical interventions, fluid balance, and referral status(Secondary endpoints was to establish a predictive model for the duration of mechanical ventilation in patients.).
Statistical Analysis
Statistical analyses were performed using SPSS Version 26.0. By analyzing the normality of continuous variables, we found that none of the data fit the normal distribution, so they were expressed as the median and interquartile range (IQR), independent sample nonparametric test were used between two groups. Count data were expressed as cases or percentages (%), and comparisons between groups were made using the Chi-Square test. Variables with statistically significant differences in univariate analysis were included in the multivariable logistic regression analysis model for risk factors, and P < 0.05 was considered statistically different. ROC curves were used to predict the accuracy of the model.
Results
༟༟A total of 621 patients were included in the final analysis. During the six-year study period (2019–2025), 1182 critically ill pregnant women were admitted to the ICU, accounting for approximately 2%(1182/66746)of all obstetric admissions to our hospital. Of these ICU admissions, 621 patients required mechanically ventilation and met the study criteria (Fig. 1).
The primary etiologies leading to MV are detailed in Table 2, The five most frequent causes were hypertensive disorders of pregnancy (18%, 110/621), postpartum hemorrhage (18%, 109/621), hepatic (13%, 78/621), cardiac disease (12%, 74/621), and respiratory failure (10%, 63/621), Collectively, these conditions accounted for 70% (434/621). Based on whether the duration of MV was > 24 hours, we divided the patients into two groups: 354 (57%) cases in the ≤ 24 hours group and 267 (43%) cases in the > 24 hours group. BMI, mortality, APACHE II score, volume of red blood cell transfusion, volume of plasma transfusion, staging of renal injury, myocardial injury, and oxygenation index were significantly different between the two groups ( p < 0.05). More patients were referred from external hospitals (76%). The referred proportion from external hospitals in the group with ≤ 24 hours of MV was 71%, which was significantly lower than in the group with > 24 hours (84%)(p < 0.05), indicating that patients transferred from external hospitals were significantly more serious. The overall APACHE II score median was 17, which was 19 in the group with a duration of MV > 24 hours, and 15 in the ≤ 24 hours group (Table 3).
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Table 2
Main etiology composition of the patients
classification | disease | n/disease | n/classification |
|---|
Hypertensive disorders of pregnancy | Pre-eclampsia | 68 | 110 |
eclampsia | 22 |
HELLP syndrome | 20 |
Obstetric Hemorrhage | Postpartum Hemorrhage | 109 | 109 |
Respiratory system | Pneumonia | 30 | 63 |
Pulmonary Hypertension | 18 |
Pulmonary Embolism | 10 |
Tuberculosis | 4 |
Bronchial Asthma | 1 |
Lung cancer | 1 | |
Circulatory system | Rheumatic heart disease | 14 | 74 |
Congenital Heart Disease | 10 |
Cardiac arrest | 11 |
Heart Failure | 19 |
Infectious endocarditis | 6 |
Peripartum cardiomyopathy | 5 |
Aortic coarctation | 2 |
Ascending Aortic Aneurys | 1 |
Congenital myocardial insufficiency | 1 |
Myocardial infarction | 2 |
Cardiac Shock | 1 |
Aortic valve insufficiency | 1 |
Mitral valve vegetation | 1 | |
digestive system | Acute fatty liver | 34 | 78 |
Acute Pancreatitis | 29 |
Acute Liver Failure | 9 |
Hepatitis B | 5 |
Hepatitis A | 1 |
nervous system | Eepilepsia | 12 | 42 |
Intracranial venous sinus thrombosis | 9 |
Cerebral hemorrhage | 12 |
Meningeal arteriovenous fistula | 1 |
Meningioma | 2 |
Arachnoid cysts | 1 |
Subarachnoid hemorrhage | 3 |
Viral encephalitis | 2 | |
Reproductive system/other diseases related to pregnancy | amniotic fluid embolism | 16 | 50 |
Intrauterine infection | 5 |
Acute Chorioamnionitis | 6 |
Ectopic pregnancy | 11 |
Placental abruption | 3 |
Reproductive Tract Infection | 2 |
Uterine rupture | 6 |
Malignant tumor of the ovary | 1 |
urinary system | Urinary tract infections | 16 | 25 |
Chronic Renal Failure | 2 |
Nephrotic syndrome | 2 |
Kidney Rupture | 1 |
Adrenal Cortical Adenoma | 2 |
renal artery aneurysm | 1 | |
Autoimmune diseases | Systemic Lupus Erythematosu | 24 | 27 |
desmosis | 1 |
Autoimmune encephalitis | 2 |
Hematological diseases | leukemia | 4 | 11 |
Severe anemia | 3 |
Aplastic anemia | 3 |
Hemophagocytic syndrome | 1 |
Endocrine system diseases | Hyperthyroidism | 4 | 10 |
Diabetic ketoacidosis | 3 |
Myasthenia gravis | 3 |
else | Ruptured spleen | 1 | 3 |
Multiple fractures | 1 |
Scrub typhus | 1 |
Table 3
Comparison of parameters between the two groups with different duration of MV Abbreviations: BMI body mass index, ICU intensive care unit ,APACHE acute physiology and chronic health evaluation, MV mechanical ventilation, AKI acute kidney injury, TBIL total bilirubin, BNP brain natriuretic peptide, PCT procalcitonin, WBC white blood cell, HB hemoglobin,PLT platelet, PaO2 arterial partial pressure of oxygen, PaCO2 arterial partial pressure of carbon dioxide,OI the ratio of the arterial partial pressure of oxygen and the fraction of inspired oxygenTable 4. Risk factors for the duration of MV
Variables | Overall | MV ≤ 24 hours | MV > 24 hours | P value |
|---|
Number | 621 | 354 | 267 | - |
Gestational weeks(IQR) | 30(27–36) | 32(27–36) | 32(27–36) | 0.927 |
Time of pregnancies(IQR) | 2(1–4) | 2(1–4) | 2(1–3) | 0.501 |
Age(y) (IQR) | 32(28–36) | 32(28–36) | 31(27–35) | 0.081 |
Advanced maternal age (> 35 years) n (%) | 167(27) | 101(28) | 66(25) | 0.824 |
BMI(Kg/cm2) (IQR) | 22(20–25) | 22(20–25) | 23(20–26) | 0.026 |
Days in ICU(IQR) | 4(2–8) | 3(2–4) | 8(4–15) | < 0.001 |
Days of hospitalization(IQR) | 13(9–20) | 11(8–16) | 16(11–26) | < 0.001 |
Number of deaths: (%) | 29(5) | 5(0.1) | 24(9) | 0.025 |
APACHE II Score (after ICU admission / within 24h after MV) (IQR) | 17(14–22) | 15(13–20) | 19(15–25) | |
Transfer from external hospitals n (%) | 475(76) | 250(71) | 225(84) | 0.012 |
Estimated blood loss (ml) (IQR) | 500(300–1364) | 506(352–1297) | 449(300–1677) | 0.035 |
Multiple ( ≧ 2) operations n (%) | 167(27) | 83(23) | 84(31) | 0.030 |
Rehydration volume (ml) (after admission to ICU/within 24h after MV) (IQR) | 3124(2425–4195) | 3315(2347–5000) | 3695(2798–5025) | < 0.001 |
Urine output (ml) (minimum 24h during hospitalization) (IQR) | 2670(1515–4080) | 2810(1800–4050) | 2540(960–4205) | 0.034 |
Volume of fluid discharged (ml) (after admission to ICU/within 24 h of MV) (IQR) | 3610(2535–5260) | 3693(2640–5272) | 3850(2700–5472) | 0.007 |
Infusion of red blood cells (u) (IQR) | 2(0–8) | 0(0–6) | 4(0–13) | < 0.001 |
Volume of plasma transfused(l) (IQR) | 0(0-1.4) | 0(0–1) | 0(0–3) | < 0.001 |
MV (h) (IQR) | 20(7–57) | 9(3–16) | 70(39–129) | < 0.001 |
Creatinine (umol/L) (admission base / lowest value) (IQR) | 63(47–107) | 56(45–84) | 76(52–132) | 0.268 |
Creatinine (umol/L) (highest value) (IQR) | 79(57–137) | 70(54–104) | 103(65–191) | < 0.001 |
AKI grading (after ICU admission / within 24h after MV) | No damage(%) | 295(48) | 206(58) | 89(33) | < 0.001 |
Level 1(%) | 128(21) | 84(24) | 44(16) |
Level 2(%) | 77(12) | 33(9) | 44(16) |
Level 3(%) | 121(19) | 31(9) | 90(34) |
myocardial injury (%) | 339(55) | 174(49) | 165(62) | < 0.001 |
TBIL, u mol/L (within 24h of MV) (IQR) | 12(6–25) | 11(6–23) | 13(6–33) | 0.046 |
Albumin, g / L (within 24h of MV) (IQR) | 28(25–32) | 28(25–32) | 28(24–32) | 0.392 |
BNP, pg/ml (after ICU admission / within 24h after MV) (IQR) | 416(118–1861) | 299(70-1111) | 852(201–3638) | < 0.001 |
PCT, ng/mL (after ICU admission / within 24h after MV) (IQR) | 0.6(0.2–2.9) | 0(0–2.) | 1(0–8) | < 0.001 |
WBC, 109L (after ICU entry / within 24h after MV) (IQR) | 14(10–19) | 13(10–18) | 15(10–20) | 0.131 |
HB, g / L (after ICU admission / within 24h after MV) (IQR) | 96(82–112) | 96(83–112) | 95(79–111) | 0.392 |
PLT, 1012L (after ICU entry / within 24h after MV) (IQR) | 146(72–215) | 153(85–214) | 125(58–220) | 0.021 |
Lactate, mmol/L (after ICU entry / within 24h after MV) (IQR) | 2.8(2–4) | 3(2–4) | 3(2–5) | < 0.001 |
PH (after ICU admission / within 24h after MV) (IQR) | 7.39(7.34–7.44) | 7.38(7.34–7.43) | 7.40(7.33–7.45) | 0.223 |
PaO2 (after ICU admission / within 24h after MV) (IQR) | 124(88–167) | 135(99–174) | 107(79–154) | < 0.001 |
PaCO2, mmHg (after ICU admission / within 24h after MV) (IQR) | 34(30–39) | 35(31–39) | 33(29–39) | 0.053 |
Bicarbonate, mmol/L (after ICU entry / within 24h after MV) (IQR) | 21(18–23) | 21(19–23) | 20(18–24) | 0.206 |
OI(IQR) | 273(184–383) | 307(219–407) | 218(150–345) | < 0.001 |
Variables | Univariate analysis | Multivariate analysis |
|---|
OR | P | 95% CI | OR | P | 95% CI |
|---|
Creatinine (admission base/ lowest value) | 0.223 | 0.001 | 0.087–0.358 | - | - | - |
APACHE score | 3.300 | < 0.001 | 1.538–5.061 | - | - | - |
Volume of fluid discharged | 0.006 | 0.033 | 0.001–0.012 | - | - | - |
Infusion of red blood cells | 3.900 | < 0.001 | 3.144–4.656 | 2.662 | < 0.001 | 1.770–3.555 |
Volume of plasma transfused | 14.985 | < 0.001 | 11.647–18.323 | 7.827 | < 0.001 | 4.191–11.463 |
Creatinine (highest value) | 0.168 | < 0.001 | 0.084–0.251 | - | - | - |
AKI grading | 33.219 | < 0.001 | 23.494–42.945 | 13.168 | 0.007 | 3.643–22.694 |
myocardial injury | 39.040 | 0.001 | 16.409–61.670 | - | - | - |
BNP | 0.005 | < 0.001 | 0.003–0.007 | - | - | - |
PCT | 1.148 | 0.001 | 0.500-1.795 | - | - | - |
| Abbreviations: MV mechanical ventilation,APACHE acute physiology and chronic health evaluation, AKI acute kidney injury, BNP brain natriuretic peptide, PCT procalcitonin |
A
More than half (52%,326/621) of the patients developed AKI. The proportion of AKI was significantly higher in the group with ≥ 24 hours of MV (67% vs 42%, p < 0.05). Univariate analysis showed that volume of red blood cell transfusion, volume of plasma transfusion, multiple (≥ 2) surgeries, APACHE II score, AKI grading, myocardial injury, B-type Natriuretic Peptide(BNP), Procalcitonin (PCT), and volume of fluids discharged were the risk factors for the duration of MV ( p < 0.05) (Table 4).
Multivariable logistic regression analysis identified three independent risk factors for prolonged MV (> 24 hours):volume of RBC transfusion (OR = 2.66, 95% CI: 1.77–3.56; P < 0.001), volume of plasma transfusion (OR = 7.83, 95% CI: 4.19–11.46; P < 0.001) and AKI grading (OR = 13.17, 95% CI: 3.64–22.69; P = 0.007) were (Table 4). The area under the ROC curve of the prediction model based on independent risk factors was 0.708(95% CI: 0.665–0.750) (Fig. 2).
Discussion
In this retrospective study of critically ill pregnant women, we identified several factors associated with a prolonged duration of mechanical ventilation, Univariate analysis revealed associations with transfusion volumes, multiple (≥ 2) surgeries, APACHE II score, number of hours of hemofiltration, AKI grading, myocardial injury, elevated BNP and PCT levels, and fluids balance. However, multivariable analysis demonstrated that the volumes of RBC and plasma transfusion, along with the AKI grading, were independent risk factors for prolonged MV.
Maternal critical illness is often acute and severe, with high risk of multiple organ dysfunction syndromes (MODS)[12]. ICU care can improve survival[9, 13], yet prolonged mechanical ventilation (PMV) prolongs hospitalization and resource use. Definitions of PMV range widely[14–18]; we adopted the Society of Thoracic Surgeons (MV > 24 hours), as it reflects clinically meaningful deterioration and is widely applied for risk stratification. In our study, transfusion volume, multiple surgeries, APACHE II score, hemofiltration, AKI grade, myocardial injury, BNP, PCT, and fluid balance were significant predictors (p < 0.05).
In our study, the incidence of critically ill pregnant women admitted to the ICU and requiring MV was 53%(621/1182), 267 (43%) of whom were ventilated for more than 24 hours, which is similar to the results of a Chinese multicenter report[13]. However, it has also been reported[9] that among 360 critically ill pregnant women admitted to an ICU, only 25 were mechanically ventilated for ≥ 24 h (6.94%). The reason for the obviously difference in the analysis was the different severity of the patients admitted, the median APACHE II score for critically ill pregnant women in that study was 7, which is far from the median APACHE II score of 19 in our study.
This study identified red blood cell transfusion, plasma volume, and AKI as independent predictors of PMV. Fluid resuscitation with excessive input and reduced renal output may precipitate fluid overload, pulmonary edema, and impaired lung function, thereby extending ventilatory dependence[19]. Although the oxygenation index (OI) is widely recognized as a marker of lung injury and an important risk factor for PMV[9, 20, 21], our findings did not confirm this association. A likely explanation is that 76% of patients were referred from other hospitals, many of whom had received oxygen therapy or mechanical ventilation prior to transfer, leading to improved OI values upon admission. Nonetheless, OI still differed significantly between patients ventilated ≤ 24 h and those ventilated > 24 h.
Pregnancy-related hypertensive disorders and postpartum hemorrhage were the leading causes of ICU admission in our cohort, each accounting for 18% of mechanically ventilated cases (110/621 and 109/621, respectively), in line with previous reports[9, 22–23]. Both conditions are well-recognized contributors to AKI in obstetric populations[24], and patients with pregnancy-related AKI often require mechanical ventilation and renal replacement therapy, with generally poor outcomes[25]. Consistent with our findings, renal dysfunction may exacerbate fluid overload, aggravate pulmonary injury, and thereby prolong ventilatory dependence. National data further indicate that hypertensive disorders of pregnancy account for 27.3–46.1% of obstetric ICU admissions in China, higher than the 22.3–29.9% reported internationally [9]. The rising incidence of postpartum hemorrhage in China may be partially attributable to the two- and three-child policies, which have increased the prevalence of cesarean scar uterus and late-pregnancy complications[1, 2]. Pathophysiologically, severe hypertensive disorders may lead to microangiopathic hemolysis, hepatic dysfunction, cardiac insufficiency, and renal impairment[26], while postpartum hemorrhage is commonly associated with uterine atony, birth canal trauma, placental abnormalities, and coagulation disorders[27].
Our findings indicate that myocardial injury and elevated BNP are important predictors of PMV in critically ill obstetric patients. Cardiovascular impairment in this population is often driven by hypertensive disorders of pregnancy and postpartum hemorrhage, which exacerbate hypoperfusion, hypoxia, and fluid overload. Prior studies have reported similar associations, including myocardial injury in over half of patients with severe postpartum hemorrhage[28] and frequent troponin elevation in women with hypertensive disorders of pregnancy[29]. Together, these results emphasize the central role of cardiac dysfunction in prolonging ventilatory support.
We also observed a strong association between elevated PCT and PMV, underscoring the impact of infection and systemic inflammation. Maternal sepsis is a leading cause of ICU admission and is often complicated by multiorgan failure and high mortality[30–32], yet nearly half of sepsis-related deaths are considered preventable with early recognition and intervention[33]. Monitoring PCT may therefore provide clinical value in identifying infection-related deterioration, predicting PMV, and guiding timely management in this high-risk population.
Limitation
There are some limitations to this study. First, this study was a single-center study, the admission criteria may differ from other studies; Second, the data were analyzed retrospectively, and some data from patients' external hospitals were missed, which may led to data bias. Third, we derived three independent risk factors for prolonged MV and created a mapping diagram for visualizing and promoting clinical practice. However, we did not validate the nomogram with a new database. a prospective study is needed to address these issues and validate our findings.
Conclusions
Therefore, we propose the following recommendations: 1)early identification and assessment of critical pregnancies; 2) attention to and timely control of obstetric hemorrhage; 3) during fluid resuscitation, in addition to actively maintaining hemodynamic stability and tissue perfusion, it is necessary to prevent excessive fluid intake; 4) close monitoring of the function of the kidneys, lungs, heart, and other organs of the critically ill mother; 5) focus on infections, critical pregnant women who develop infections or are at risk of infection need to be assessed early and managed appropriately, e.g., timely specimen retention and antibiotic use. In conclusion, the early assessment and management of critically ill pregnant women admitted to the ICU is very important and even requires the participation of multiple specialists such as obstetricians, respiratory and cardiovascular physicians in addition to ICU physicians in the management of critically ill obstetrics patients in order to shorten the duration of mechanical ventilation.
BNP
multiple organ dysfunction syndromes
prolonged mechanical ventilation
oxygenation index
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Author Contribution
Jialin Yang, Zhanqi Zhao drafted the article. Mingwang Jia, Yingling Wang, and Fang Peng collected clinical cases. Yichun Wang provided guidance and expertise. Guangyuan Liao, as the corresponding author, led the statistical analysis and revised the article for intellectual content. All authors contributed to the study design and interpretation of data, as well as providing critical revision of the article. All authors read and approved the final manuscript.
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Data Availability
The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.
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