Abstract

Background:

Acute pancreatitis in pregnancy (APIP) is a rare but life-threatening complication for both mother and fetus. The purpose of this study was to describe the etiology, clinical indices, early predictive markers and maternal fetal outcomes of APIP.

Methods:

We retrospectively reviewed 52 APIP cases treated at the 5 tertiary care centers from January 2017 to December 2021 in Guangdong, China. We analyzed the etiology, vital signs, laboratory indices, predictive markers and long-term outcomes of APIP.

Results:

The most common causes of APIP were hypertriglyceridemia (36.5%) and biliary disease (26.9%). Heart rate (HR), white blood cell count, the percentage of blood neutrophils, serum glucose and triglycerides were correlated with the severity of APIP. The ability of HR to predict severe acute pancreatitis (SAP) was highest. There were no maternal deaths reported. The overall fetal mortality rate was 7.7% and 62.5% experienced neonatal asphyxia in SAP. Apgar scores among newborns of mild acute pancreatitis (MAP) were not different.

Conclusions:

The most frequent cause of APIP has changed and hypertriglyceridemia was the most common cause of APIP. The initial HR recorded after admission might be the new predictor of SAP. The severity of APIP was associated with higher risk of neonatal asphyxia. For MAP patients, conservative treatment was also desirable.

1. Introduction

Acute pancreatitis in pregnancy (APIP) is a life-threatening complication affecting both mother and fetus, with an incidence of approximately 1 in 1000–10,000 pregnancies [1]. Due to its atypical presentations and rapid clinical changes, APIP is easily misdiagnosed and missed by clinicians, resulting in serious adverse maternal and neonatal outcomes. Over the past decades, the APIP-associated mortality rate was high for the mother and fetus, reaching 20% and 50%, respectively [2, 3]. As a consequence of advances in medical knowledge and technology and progress in neonatal intensive care, recent study has reported a decline in maternal and fetal mortality [4].

Until recently, most APIP studies involved small, single-center investigations with a long reference time-period [5, 6]; as such, conclusions may not be generalizable to all patients and all areas. Some larger scale studies have been recently published to describe the clinical features, predictive indicators and pregnancy outcomes of APIP, which provides solid data for further research [7, 8, 9], although some of these studies focused on only one aspect of the disease with the data spanning a period of ten years. In this study, we conducted a retrospective review of 52 cases of APIP treated at 5 tertiary care centers in Guangdong, China, from January 2017 to December 2021. All are specialist centers for critical maternal treatment, and preferentially receive referrals from surrounding hospitals, making them ideal sources for collecting data on APIP patients. Our aim was to describe and update the current data regarding the etiology, clinical features and maternal fetal outcomes of APIP. Additionally, we sought to investigate early predictive markers for severe acute pancreatitis (SAP) and long-term pregnancy outcomes.

2. Materials and Methods
2.1 Patients and Clinical Data

This research was conducted as a retrospective, cross-sectional, multicenter study involving patients hospitalized with APIP in Guangdong Province, China: Nanfang Hospital, Southern Medical University, The Third Affiliated Hospital of Guangzhou Medical University, The First Affiliated Hospital of Jinan University, Dongguan People’s Hospital, and Shenzhen People’s Hospital. Four other hospitals agreed to be involved in study. We utilized data of pregnant patients attending the hospitals from January 2017 to December 2021. The criterion for inclusion was acute pancreatitis diagnosed during pregnancy. Patients meeting the following criteria were excluded: (1) readmission (only included first-time record); (2) pregnancy was terminated prior to admission to hospital; (3) length of more than 7 d from APIP onset to admission; (4) serious comorbidities; and (5) more than 5 missing data of candidate variables.

Data were collected through electronic medical records (EMR); this included maternal age, etiology of acute pancreatitis (AP), disease severity, gestational age at AP onset and delivery, clinical features and complications, diagnostic tests, maternal and fetal outcomes, vital signs, and laboratory test data within 24 h of admission. All data reflected the first inpatient examination following admission.

2.2 APIP Diagnosis and Definition

The classification and diagnostic criteria for APIP were determined according to the Atlanta Criteria and Clinical practice guidelines [10, 11]. To diagnose acute pancreatitis, at least 2 of the following 3 criteria must be met: (1) abdominal pain consistent with acute pancreatitis; (2) serum lipase and/or amylase at least 3 times higher than the upper normal limit; and (3) radiological evidence indicating acute pancreatitis. Mild acute pancreatitis (MAP) was defined as AP without organ dysfunction or localized/generalized complications. Moderately severe acute pancreatitis (MSAP) was defined as AP with transient (within 48 h) organ dysfunction or localized/generalized complications. Severe acute pancreatitis (SAP) was defined as AP with persistent (more than 48 h) organ dysfunction or localized/generalized complications. Organ dysfunction was assessed based on the modified Marshall score, while local complications comprised acute peripancreatic fluid collection, pancreatic pseudocyst, acute necrosis, and walled-off necrosis. By etiology, APIP could be categorized into acute biliary pancreatitis, hypertriglyceridemic pancreatitis (HTGP), or other types of pancreatitis. Acute biliary pancreatitis was diagnosed by radiological evidence of abdominal ultrasonography, such as gallstones or sludge in the biliary tree or the gallbladder [12]. Hypertriglyceridemic pancreatitis was diagnosed with either a serum triglyceride 11.3 mmol/L or serum triglyceride between 5.65 and 11.3 mmol/L with a lipid turbidity appearance after excluding biliary, alcohol or medication factors [11]. Trimester categorization was defined as first trimester (1–13+6 weeks), second trimester (14–27+6 weeks), and third trimester (from 28 weeks to delivery). Early and moderately preterm birth was defined as birth at <34 weeks of gestation but 28 completed weeks. Extremely preterm birth was defined as birth at <28 weeks of gestation. Fetal loss included spontaneous or induced abortion, intrauterine fetal death or stillbirth. Neonatal asphyxia was defined as an Apgar score of <8.

2.3 Statistical Analysis

We conducted all data analyzes using IBM SPSS 25.0 (IBM Corp., Armonk, NY, USA). We excluded variables with >10% missing data. If variables had missing data accounting for <10%, the missing data with normal distribution was replaced by mean and skewed distribution by median. Continuous variables that followed a normal distribution were reported as mean ± standard deviation (SD) and differences between groups were assessed using Student’s t tests or one-way analyses of variance. Frequencies (%) are utilized to present categorical variables and differences between groups were assessed using Chi-squared tests or Fisher exact tests, as appropriate. Non-normally distributed continuous variables are presented as median (inter-quartile range, IQR) and were compared using non-parametric tests. The accuracy of biomarkers to predict SAP was assessed via receiver operating characteristic (ROC) curves. Logistic regression analysis was performed to determine independent predictors of SAP. The p value was compared with the area under the curve (AUC) with 0.5, and sensitivity and specificity were computed to assess diagnostic value. p values < 0.05 were deemed statistically significant.

3. Results
3.1 Demographics

During the study period, a total of 56 APIP patients were reviewed. According to the inclusion and exclusion criteria, we enrolled 52 pregnant patients in this study (Fig. 1). The mean maternal age was 30.5 ± 5.8 years. The average height was 157.0 ± 5.0 cm and the body mass index (BMI) was 26.9 ± 4.0 kg/m2. The median gestational age was 32.0 (7.0) weeks. Most patients (80.8%) were diagnosed with APIP in the third trimester; 8 patients had APIP during the second trimester and 2 during the first trimester. Hypertriglyceridemia (36.5%) and biliary diseases (26.9%) were the most common causes of APIP. MAP occurred in 67.3%, 17.3% were MSAP, and 15.4% were SAP (Table 1).

Fig. 1.

The flow chart of the study. APIP, acute pancreatitis in pregnancy.

Table 1. General information of APIP patients by different severity.
MAP MSAP SAP p value
Individuals (n) 35 9 8
Age, years 31.46 ± 6.31 28.78 ± 4.52 28.38 ± 3.96 0.250
BMI, kg/m2 26.45 ± 3.90 27.49 ± 4.70 28.43 ± 3.94 0.422
Gestation weeks on admission (weeks) 31.71 (7.57) 36.43 (5.79) 31.43 (4.14) 0.056
Trimester of pregnancy on admission (n) 0.655
1st Trimester 2 0 0
2nd Trimester 7 0 1
3rd Trimester 26 9 7
Etiology (n) 0.104
Hyperlipidaemia 11 2 6
Biliary diseases 12 2 0
Others 12 5 2
Inpatient information
Hospital stay, days 10 (7) 12 (14) 16.5 (13) 0.025
Patients transferred to ICU (n) 10 4 7 0.008
Daily hospital charges, RMB (n) 0.023
<1000 6 1 1
1000–4999 23 4 1
5000–9999 5 3 4
10,000 1 1 2

Abbreviations: BMI, body mass index; ICU, intensive care unit; APIP, acute pancreatitis in pregnancy; MAP, mild acute pancreatitis; MSAP, moderately severe acute pancreatitis; SAP, severe acute pancreatitis. December 31, 2021 exchange rate, 6.378 RMB = 1 US dollar (State Administration of Foreign Exchange, China, 2021).

3.2 Clinical APIP Data

We compared the clinical data according to the severity of APIP, including baseline clinical data, vital signs, in-hospital information (duration of hospital stay, daily hospitalization charges), and commonly used laboratory indices (Tables 1,2). At baseline, the 3 groups were similar in age, BMI, gestational weeks, and etiology. Hospital length-of-stay and daily charges showed a positive correlation with the severity of APIP. SAP had the highest rate (87.5%) of transfer to the intensive care unit (ICU). Heart rate (HR), white blood cell count (WBC), blood neutrophil percentage (Neu%), serum glucose, and triglycerides were correlated with the severity of APIP.

Table 2. Clinical indices of APIP patients by different severity.
MAP (n = 35) MSAP (n = 9) SAP (n = 8) p value
Vital signs
SBP, mmHg 112 (11) 118 (17) 137 (37) 0.115
DBP, mmHg 74 (9) 73 (14) 69 (23) 0.958
Temp, °C 36.7 (0.4) 36.5 (0.5) 36.6 (0.7) 0.825
HR, bpm 93 ± 13 92 ± 14 121 ± 11 <0.001
Laboratory test data
WBC, ×109/L 11.20 ± 5.22 10.26 ± 4.58 17.16 ± 5.53 0.011
Neu% 79.9 ± 11.7 74.2 ± 15.0 89.9 ± 2.9 0.024
HCT, L/L 0.32 ± 0.03 0.33 ± 0.04 0.30 ± 0.04 0.107
CRP, mg/L 30.0 (49.1) 39.1 (152.3) 123.4 (199.9) 0.100
K, mmol/L 3.77 ± 0.41 3.67 ± 0.22 3.76 ± 0.49 0.799
Ca, mmol/L 2.12 ± 0.14 2.15 ± 0.13 2.07 ± 0.19 0.556
Glu, mmol/L 5.70 (2.83) 5.40 (2.43) 8.70 (5.26) 0.016
Amylase, U/L 161.1 (218.8) 122.0 (544.9) 89.8 (382.0) 0.577
ALT, U/L 14.9 (16.8) 7.3 (9.7) 9.6 (7.8) 0.220
AST, U/L 19.4 (17.5) 19.9 (16.1) 21.5 (13.5) 0.993
ALB, g/L 31.7 ± 4.2 32.7 ± 3.2 30.2 ± 3.3 0.433
TBil, µmol/L 10.81 (9.70) 9.66 (11.10) 7.86 (10.70) 0.648
DBil, µmol/L 3.85 (6.08) 5.37 (6.10) 4.99 (6.64) 0.515
Cr, µmol/L 44.4 ± 15.7 46.9 ± 8.7 36.2 ± 11.3 0.261
TG, mmol/L 2.33 (4.80) 3.07 (3.30) 15.48 (41.12) 0.016
TC, mmol/L 5.70 (4.09) 6.19 (4.94) 11.57 (20.07) 0.087

Abbreviations: SBP, systolic pressure; DBP, diastolic pressure; HR, heart rate; WBC, white blood cell count; Neu%, blood neutrophil percentage; HCT, hematocrit; CRP, C-reactive protein; K, serum potassium; Ca, total calcium; Glu, serum glucose; ALT, alanine aminotransferase; AST, aspartate aminotransferase; ALB, seralbumin; TBil, total bilirubin; DBil, direct bilirubin; Cr, creatinine; TG, triglycerides; TC, total cholesterol.

3.3 Biomarker Prediction of SAP

We found that some clinical indicators were significantly different between the 3 groups (Table 2), so we constructed receiver operating characteristic (ROC) curves to compare the values of the indicators to predict SAP and identify cut-off values (Fig. 2). The area under the curve (AUC) and the optimal cut-off values are summarized in Table 3. HR had the greatest ability to predict SAP (AUC = 0.950, p < 0.001). In order to further explore the clinical significance of these indicators, logistic regression analysis was performed. As shown in Table 4, univariate analysis revealed that all 5 indicators were related to SAP. However, adjusted for other variables except themselves, only HR (odds ratio (OR) = 1.274, 95% confidence interval (95% CI): 1.024–1.585, p = 0.030) was the independent factor for predicting SAP by multivariate analysis.

Fig. 2.

Receiver operating characteristic (ROC) curve of clinical indicators for predicting SAP. SAP, severe acute pancreatitis; WBC, blood cell count; Neu%, blood neutrophil percentage; TG, triglycerides; HR, heart rate

Table 3. Clinical indicators for predicting SAP.
Variables AUC 95% CI p value Cut-off Sensitivity Specificity
WBC 0.813 0.646–0.979 0.005 12.65 0.875 0.750
Neu% 0.824 0.705–0.943 0.004 87.65 0.875 0.723
Glucose 0.820 0.657–0.983 0.004 6.395 0.875 0.705
TG 0.827 0.707–0.946 0.004 3.88 1.000 0.614
HR 0.950 0.882–1.000 <0.001 112 0.875 0.932

Abbreviations: AUC, area under the receiver operating characteristic curve; 95% CI, 95% confidence interval.

Table 4. Logistic regression analysis of clinical indicators for predicting SAP.
Variables Univariate analysis Multivariate analysis
Coefficient p value OR (95% CI) Coefficient p value OR (95% CI)
WBC 0.192 0.010 1.212(1.047–1.403) –0.114 0.495 0.892 (0.644–1.237)
Neu% 0.201 0.041 1.222 (1.008–1.481) 0.396 0.254 1.486 (0.752–2.934)
Glucose 0.426 0.010 1.531 (1.109–2.114) 0.264 0.556 1.303 (0.541–3.138)
TG 0.038 0.030 1.039 (1.004–1.075) 0.036 0.441 1.037 (0.946–1.137)
HR 0.202 0.004 1.224 (1.068–1.402) 0.242 0.030 1.274 (1.024–1.585)

Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval.

3.4 Maternal and Fetal Outcomes

As shown in Table 5, the overall fetal mortality rate was 7.7% (4/52). Four fetal losses were all in MAP; 3 involved induced abortion due to concerns about the disease or medications affecting pregnancy and 1 experienced an intrauterine demise of unknown origin (the woman only accepted the test for therapeutic purposes). Early and moderately preterm births occurred in 26.9% (14/52) and 1.9% (1/52) were extremely preterm births (at 27.9 weeks). Of all live births, 7 newborns were diagnosed with neonatal asphyxia. Thirteen patients with MAP were able to continue with their pregnancy on discharge. Further-more, we followed up 6 long-term outcomes of the 13 patients from their EMR. The median gestational age of these 6 women was 39.7 (7.7) weeks. We defined the newborns in MAP who were delivered during admission due to APIP as group A, and the 6 newborns in a continuing pregnancy as group B. There was no statistical difference in Apgar scores between the two newborn groups (Table 6).

Table 5. Maternal fetal outcomes by different severity.
Total number, n (%) MAP (n = 35) MSAP (n = 9) SAP (n = 8)
Continued pregnancy 13 (37.1%) 0 (0.0%) 0 (0.0%)
Total life birth 18 (51.4%) 9 (100.0%) 8 (100.0%)
Cesarean birth 15 (42.9%) 9 (100.0%) 8 (100.0%)
Vaginal birth 3 (8.6%) 0 (0.0%) 0 (0.0%)
Early and moderately preterm birth 6 (17.1%) 3 (33.3%) 5 (62.5%)
Extremely preterm birth 0 (0.0%) 0 (0.0%) 1 (12.5%)
Total fetal loss 4 (11.5%) 0 (0.0%) 0 (0.0%)
Spontaneous abortion 0 (0.0%) 0 (0.0%) 0 (0.0%)
Artificial abortion 3 (8.6%) 0 (0.0%) 0 (0.0%)
Intrauterine fetal death 1 (2.9%) 0 (0.0%) 0 (0.0%)
Stillbirth 0 (0.0%) 0 (0.0%) 0 (0.0%)
Neonatal asphyxia 1 (2.9%) 1 (11.1%) 5 (62.5%)
Table 6. Apgar score of living neonates in MAP.
Number Apgar
1 min 5 min 10 min
Group A 18 10 (2.0) 10 (0.0) 10 (0.0)
Group B 6 9 (0.0) 9 (1.0) 10 (0.0)
p value - 0.454 0.177 0.871

Group A: the newborns in MAP who were delivered during admission due to APIP; Group B: the 6 newborns in a continuing pregnancy.

4. Discussion

APIP is a rare type of acute pancreatitis and remains a challenging clinical problem. Maternal physiological changes that occur during pregnancy make the condition more complicated. In our retrospective study, we analyzed 52 APIP cases from Guangdong Province, China admitted from 2017 to 2021. We aimed to provide an update of clinical disease features and to identify the best predictors for the severity of APIP. The majority of APIP (81.25%) occurred in the third trimester, which is also consistent with previous studies [7, 13]. In addition, the incidence of MSAP and SAP increased during the third trimester, indicating that the incidence and severity of APIP increased as the pregnancy progressed.

In our study, the most frequent cause of APIP was hyperlipidaemia, followed by biliary disease. During normal pregnancy, multiple changes in the levels of hormones during pregnancy cause adaptive changes in carbohydrate and lipid metabolism. In women with an altered lipoprotein metabolism, these changes cause marked hypertriglyceridemia [1, 14]. Additionally, in the context of hyperlipidemia, a physiologic hypercoagulable state during pregnancy and fat emboli in the pancreatic vessels may combine to impair pancreatic microcirculation, in turn leading to pancreatic damage and acute pancreatitis [15]. However, in China, hyperlipidemia is not the leading cause of APIP. According to the findings of a previous meta-analysis conducted by investigators from our hospital [16], the most common cause of APIP was biliary disease. This changed after 2009, with more pregnancy-associated hypertriglyceridemic pancreatitis being reported and hyperlipidaemia has become the main trigger of APIP, with a rate of 37%. These changes may stem from the rapid growth of the Chinese economy, improved living standards, and changes in diet during pregnancy. Marked changes in the etiology of APIP have also been reported in studies from different regions around the world [4, 17, 18, 19, 20, 21, 22, 23, 24, 25] (Table 7, Ref. [4, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25]), suggesting that ethnic or environmental factors might affect the pathogenesis of APIP. It is commonly accepted that biliary disease is the most common etiology for APIP in Europe, North America, and India [24, 26, 27]. During pregnancy, elevated progesterone levels can alter gallbladder motility, leading to bile stasis. Additionally, high estrogen levels can modify the composition of bile, making it more lithogenic. These changes may increase the risk of developing AP [22, 28]. However, hyperlipidemia is the major causal factor in East Asian countries such as China and South Korea. One reason for this phenomenon may stem from a lower prevalence of gallstones in Asian countries compared to western countries [24, 27]. In addition, there are recognized ethnic differences in the levels of baseline triglycerides; these are highest in East Asians, followed by Caucasians, and lowest in South Asians and African Americans [29]. However, we also observed from Table 7 that APIP etiologies differ between countries and regions on the same continent, even in the context of similar geographical and racial factors. As such, lifestyle factors such as diet may play a critical role in the pathogenesis of APIP.

Table 7. Etiologies of APIP from different regions.
Area Etiologies
Biliary disease (%) Hyperlipidemia (%)
Asia China [16] 33.00 37.00
India [17, 18, 19] 53.80 19.20
South Korea [25] 0.00 100.00
America The United State [4] 88.00 0.00
Canada [20] 65.80 0.91
French Guiana [21] 40.00 -1
Europe Italy [22] 38.20 -2
Spain [23] 84.20 5.30
Turkey [24] 54.50 33.30

1missing data, blood lipid profiles were not examined in study. 2missing data, only acute biliary pancreatitis was provided in study.

As demonstrated in our study, SAP mostly occurred during the second and third trimesters and was associated with a high proportion of adverse maternal-fetal outcomes. Other studies also support the link between APIP severity and higher risks of poor maternal and fetal outcomes [5, 7, 30]. Approximately 5–10% of acute pancreatitis patients will develop severe acute pancreatitis in the general population in China [11], while there was 15.4% SAP in pregnant patients in our study. We also found a significant positive correlation between disease severity, daily healthcare costs and the duration of stay in the hospital. SAP showed the highest rate of transfer to the ICU. Thus, SAP imparted significant financial strains on the family and increased healthcare burdens on an already stressed health system. We suggest the following possible reasons for the adverse effects of SAP. There is an inevitable delay in diagnosis, particularly in patients with SAP compared with those with MAP [30]. The most common initial symptoms of APIP, such as epigastric pain, nausea, and vomiting during mid to late gestation are likely to be ascribed to the pregnancy, leading to misdiagnoses and delayed treatments [5, 31]. SAP requires significant medical resources, thus incurring high treatment costs; these are likely to be higher if multiple rounds of testing are required and treatment is delayed. Thus, early recognition and prompt treatment of APIP are vitally important.

The majority of previous retrospective studies only summarized and reported the clinical features of APIP [5, 7, 32]. In addition, most studies into the early predictors of SAP have focused only on acute pancreatitis in the non-pregnant population, such as the association of neutrophil–lymphocyte ratio (NLR), red cell distribution width (RDW), and C-reactive protein (CRP) with AP [33, 34]. Only a few studies have collected routine laboratory tests after APIP onset to evaluate the predictive values of these tests on APIP severity [9, 15]. From that study, lactate dehydrogenase (LDH) and RDW was able to predict SAP early, and low serum triglycerides (<4.72 mmol/L) can be used to predict MAP. We observed that pleural effusion, confirmed by echocardiography, has been identified as an independent predictor of the severity of AP in the general population, according to a prospective observational study [35]. But unfortunately, the echocardiography data in our study were limited, as echocardiography is not routinely performed on APIP patients in our hospitals. In our study, we analyzed common vital signs including blood pressure (BP), HR, and relative risk (RR) against the severity of APIP, which had not been previously done. Vital signs are objective and can be readily obtained from a simple assessment, thereby providing clinicians an efficient tool to evaluate the patient’s condition. By analyzing HR between the clinical groups, we found that HR may offer a simple and feasible indicator for the early prediction of SAP. As shown in Table 3, HR could predict SAP with a cut-off value of 112 beats/min; it was the best of the tested markers. Further, we found the diagnostic specificity of HR to be 0.932 in our study, which was higher than the risk score (0.828) calculated by Jin Di et al. [9], while the diagnostic sensitivity was equivalent in both studies. According to the multivariate analysis results, HR was the only independent factor for predicting SAP in our study. Previously, Khoueiry et al. [36] conducted a retrospective study of patients with pericardial effusion and observed that HR is associated with CRP levels. Hamaad et al. [37] studied the relationship between HR and inflammasome activation among 100 patients with acute coronary syndrome and concluded that increased heart rate correlated with the level of inflammation [37]. In addition, Torpy et al. [38] administered interleukin-6 (IL-6, 3 µg/kg of body weight) via subcutaneous injection to healthy individuals and observed a HR increase. The HR began to increase significantly compared with baseline at 90 minutes after IL-6 injection, and the maximum effect was seen at 360 minutes after injection [38]. The above indicated that cytokines can increase HR. According to literature reports, the pathogenesis of cardiac manifestations in acute pancreatitis in the non-pregnant population (such as hypotension and tachycardia) was secondary to hypovolemia, metabolic disturbances and cytokines [39]. In our study, we observed that there was no statistical difference in blood pressure, hematocrit (HCT) and serum electrolytes among the 3 types of APIP. To some extent, we could consider that the pro-inflammatory cytokines play a major role at least in initial stages of APIP. We speculate that increased heart rate on admission can reflect the severity of inflammation in APIP, which is an inflammatory disease. SAP has a very strong positive correlation with systemic inflammatory responses, so the early increases in HR might help to predict SAP development. So far, studies correlating HR and APIP remain rare, but our findings provide a new direction for larger studies in the future.

The complexities of managing APIP arise from the decision-making involved in the timing and route of pregnancy termination. There are currently no standardized guidelines to instruct the diagnosis and treatment of APIP. Luo et al. [7] provided some recommendations for indicators for the termination of pregnancy: (1) when organ dysfunction exists, continuing pregnancy might aggravate the disease; (2) during the first two trimesters of pregnancy, clinical medications might affect the growth of the fetus; (3) fetal development is basically mature (after 37 weeks), systemic inflammation response syndrome (SIRS) caused by APIP and clinical medications might increase the risk of fetal death [7]. At our medical center, a multidisciplinary team, including obstetrics, hepatobiliary surgery, gastroenterology and ICU, would be constructed to assess the medical condition of APIP and decide whether to terminate pregnancy. Consistent with the conclusion of other studies [5, 13], in this study, adverse outcomes occurred more frequently among pregnant patients diagnosed with MSAP and SAP, compared to MAP. Therefore, early diagnosis and timely treatment for MSAP and SAP should confer marked benefits. Conservative management is suggested for patients with MAP [40], implying that continuation of pregnancy for MAP after conservative treatment would be safe. Though multidisciplinary consultation has done to assess medical condition and provide personalized treatment options, some pregnant women will still request induction out of concerns about their medical condition and fetal toxicity arising from the drug treatments. Long-term outcomes for continued pregnancy in MAP have not been previously reported. In this study, we recorded outcomes from 6 long-term cases of continued pregnancy in MAP and the HRs of these 6 pregnant patients were all <112 beats/min, matching our result. Nearly all these pregnancies continued to term. In the comparison between group A and B, we found no difference in the Apgar scores, demonstrating that the long-term MAP prognosis was comparable. Thus, clinical therapeutic guidance for MAP patients may not need to be radical. Trying to prolong pregnancy for MAP could reduce early termination of pregnancy which was unnecessary, especially preterm births. But due to the rapid changes in APIP, these patients should be closely monitored to avoid disease progression.

This study has some limitations. Firstly, a retrospective study has inherent limitations. We could investigate associations but could not infer causation. Secondly, there is no available guideline to provide standard management of APIP. Guideline of acute pancreatitis was used to identify APIP, which might limit the generalization of the results. In addition, this study consisted of a small sample size. Due to the low incidence of APIP, to recruit a large number of study patients is quite difficult. Besides, the recruitment of patients from tertiary hospitals might lead to selection bias. However, this is currently the largest cohort in order to investigate APIP in Guangdong Province.

5. Conclusions

APIP is a rare but severe disease that potentially threatens maternal and fetal wellbeing. Hypertriglyceridemia was the most common etiology of APIP, suggesting that a greater focus should be given to nutrition and metabolic health in pregnant patients. The severity of APIP was correlated with a higher risk of poor outcomes, suggesting that a specific and sensitive marker to predict SAP is required. HR recorded after admission may be a predictor of APIP. For APIP patients, it is important to consider the most appropriate timing for pregnancy termination, but for MAP patients, conservative treatment is a likely option. More research is required to elucidate the etiology, clinical predictors, and treatments of APIP.

Availability of Data and Materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Author Contributions

JL, JJ and FH conceived and designed the project. JL, RL, ZL, YY and DQ collected the data. JL and RL analyzed and interpreted the data. JL drafted the manuscript. All authors read and approved the final manuscript. All authors contributed to editorial changes in the manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work.

Ethics Approval and Consent to Participate

The study was conducted in accordance with the Declaration of Helsinki. The study protocol was approved by the Institutional Review Board of the Nanfang Hospital, Southern Medical University (approval No. NFEC-2022-247). The records and data did not include identifying patient information and the analysis was based on retrospective record review, so individual informed consent was not required. The informed consent has been exempted by the Institutional Review Board of the Nanfang Hospital, Southern Medical University.

Acknowledgment

We are grateful to the hospital collaborators for assistance in data collection.

Funding

This study was supported by Clinical Research Fundation of Nanfang Hospital, Southern Medical University (2019CR014).

Conflict of Interest

The authors declare no conflict of interest.

References

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