A novel clinical prediction model of severity based on red cell distribution width, neutrophil-lymphocyte ratio and intra-abdominal pressure in acute pancreatitis in pregnancy

Liao, Wenyan; Tao, Guangwei; Chen, Guodong; He, Jun; Yang, Chunfen; Lei, Xiaohua; Qi, Shuo; Hou, Jiafeng; Feng, Chao; Jiang, Xingshan; Deng, Xia; Ding, Chengming

doi:10.1186/s12884-023-05500-0

Cited by 5 publications

(2 citation statements)

References 41 publications

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“…In this research, NEU-R, SII, NLR and LMR demonstrated excellent diagnostic predictive performance in distinguishing between IBD and healthy individuals, with AUC values ranging from 0.8 to 0.836. The NLR encompasses two distinct parts of the immune system and is a significant marker of the equilibrium between neutrophils, which are inflammatory activators, and lymphocytes, which are inflammatory regulators [ 40 ]. Upon activation, neutrophils produce reactive oxygen species, proteases, interleukin-8, TNF-α and leukotriene B4, which can cause damage to the structure and functioning of the intestinal barrier, as well as attract monocytes and neutrophils to the intestine [ [41] , [42] , [43] ].…”

Section: Discussionmentioning

confidence: 99%

Utility of four machine learning approaches for identifying ulcerative colitis and Crohn's disease

Pei,

Wang,

et al. 2024

Heliyon

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Section: Discussionmentioning

confidence: 99%

Utility of four machine learning approaches for identifying ulcerative colitis and Crohn's disease

Pei,

Wang,

et al. 2024

Heliyon

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“…At low altitudes, the RDW increases with the gestational trimester and is higher than that in non-pregnant women [20], while at high altitudes, the RDW does not change [21]. In acute pancreatitis in pregnancy, the RDW is also markedly elevated and is predictive of severity [22,23].…”

Section: Introductionmentioning

confidence: 94%

The Predictive Value of RDW-CV in Pregnant Patients with Treated Thrombophilia Who Delivered via Cesarean Section at Term

Filip,

Covali,

Socolov

et al. 2024

Preprint

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(1) Background: The RDW-CV has predictive value in many pregnancy-related conditions. Re-search question: Can the RDW-CV be utilized predictively in pregnant patients with thrombo-philia? Aim of the study: To carry out a detailed analysis of the RDW-CV in pregnant patients with treated thrombophilia as compared with pregnant patients without thrombophilia who de-livered via cesarean section at term. (2) Methods: We studied 160 pregnant patients, including 80 pregnant patients with treated thrombophilia in the study group, and another 80 patients of a similar age and parity. The patients were referred to our hospital for delivery at term by means of a cesarean section between 1/10/2017 and 1/12/2021. Every patient received a sonogram during the first 1–2 days after the cesarean section, and their uterine evaluation was interpreted using the PUUS (Postpartum Uterine Ultrasonographic Scale). (3) Results: Our PUUS≥1 pregnant and postpartum patients with treated thrombophilia were the only group with an RDW-CV value over 14. No deep vein thrombosis was observed during hospitalization, showing that the antico-agulant treatment was necessary and effective. An RDW-CV of 14.5 was the highest value in the Rh-negative group of pregnant patients with treated thrombophilia. An RDW-CV of 14.48 was the highest level in the Rh-negative postpartum patients with treated thrombophilia. (4) Conclu-sion: An RDW-CV of ≥14 can predict uterine hematometra (PUUS≥1). The RDW-CV values were higher in Rh-negative patients.

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Acute Pancreatitis in Pregnancy: A Propensity Score Matching Analysis and Dynamic Nomogram for Risk Assessment

Tang,

Chen,

Huang

et al. 2024

Dig Dis Sci

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BACKGROUND: Acute pancreatitis is easily confused with abdominal pain symptoms, and it could lead to serious complications for pregnant women and fetus, the mortality was as high as 3.3% and 11.6%-18.7%, respectively. However, there is still lack of sensitive laboratory markers for early diagnosis of APIP and authoritative guidelines to guide treatment. ONJECTIVE:The purpose of this study was to explore the risk factors of acute pancreatitis in pregnancy, establish and evaluate the dynamic prediction model of risk factors in acute pancreatitis in pregnancy patients.STUDY DESIGN: Clinical data of APIP patients and non-pregnant acute pancreases patients who underwent regular antenatal check-ups during the same period were collected. The data set after propensity matching was randomly divided into training set and veri cation set at a ratio of 7:3. The model was constructed by using Logistic regression, least absolute shrinkage and selection operator regression, R language and other methods. The training set model was used to construct the diagnostic nomogram model and the validation set was used to validate the model. Finally, the accuracy and clinical practicability of the model were evaluated. RESULTS: A total of 111 APIP were included. In all APIP patients, biliary pancreatitis was the most important reason (62.1%). The levels of serum amylase, creatinine, albumin, triglyceride, high density lipoprotein cholesteroland apolipoprotein A1 were signi cantly different between the two groups. The propensity matching method was used to match pregnant pancreatitis patients and pregnant non-pancreatic patients 1:1 according to age and gestational age, and the matching tolerance was 0.02. The multivariate logistic regression analysis of training set showed that diabetes, triglyceride, Body Mass Index, white blood cell, C-reactive protein were identi ed and entered the dynamic nomogram. The area under the ROC curve of the training set was 0.942 and in validation set was 0.842. The calibration curve showed good predictive in training set, the calibration performance in the validation set was acceptable. The calibration curve showed the consistency between the nomogram model and the actual probability. CONCLUSION:The dynamic nomogram model we constructed to predict the risk factors of acute pancreatitis in pregnancy has high accuracy, discrimination and clinical practicability.

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A novel clinical prediction model of severity based on red cell distribution width, neutrophil-lymphocyte ratio and intra-abdominal pressure in acute pancreatitis in pregnancy

Cited by 5 publications

References 41 publications

Utility of four machine learning approaches for identifying ulcerative colitis and Crohn's disease

Utility of four machine learning approaches for identifying ulcerative colitis and Crohn's disease

The Predictive Value of RDW-CV in Pregnant Patients with Treated Thrombophilia Who Delivered via Cesarean Section at Term

Acute Pancreatitis in Pregnancy: A Propensity Score Matching Analysis and Dynamic Nomogram for Risk Assessment

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