Current research status of blood routine indexes in predicting severity of acute pancreatitis_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

WANG Dongdong ^1,2 , WEI Fengxian ^1,2 , ZHANG Yuhao ^1,2 , ZHANG Haodong ^1,2 ,  XU Xiaodong ^1,2

1. Department of General Surgery, Lanzhou University Second Hospital, Lanzhou 730000, P. R. China;
2. Hepato-Biliary-Pancreatic Institute, Lanzhou University Second Hospital, Lanzhou 730000, P. R. China;

Corresponding author：

XU Xiaodong, Email: 13893273850@163.com

Keywords：

severe acute pancreatitis; platelet distribution width; immature granulocyte percentage; neutrophil-lymphocyte ratio

DOI：

10.7507/1007-9424.202104090

Video：

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Objective To summarize the blood routine indexes and predictive systems that can predict the severity of acute pancreatitis (AP). Method The recent domestic and foreign literatures on the predictive value of blood routine indexes for the severity of AP were reviewed.Results From the current research results at domestic and foreign, independent blood routine indexes such as red blood cell distribution width, average platelet volume, hematocrit (TCT), platelet (PLT) count, platelet distribution width, percentage of immature granulocytes (IG%), and some blood routine calculation indexes such as neutrophil to lymphocyte ratio (NLR), PLT to lymphocyte ratio (PLR), red blood cell distribution width to PLT ratio (RPR), neutrophil-monocyte product, and so on, all had different predictive value for the severity of AP. In addition, multiple prediction modes such as blood routine indexes combined with some serological indexes or other scoring systems could also be used to predict the severity of AP. In general, the predictive value of the NLR, IG%, and HCT on the severity of AP had been unanimously recognized by researchers. However, the conclusions of related studies on the predictive values of PLT, PLR, and RPR on the severity of AP were still controversial. Conclusions At present, there are a variety of blood routine indexes can be used to predict severity of AP, but their predictive values are different. Further researches are still needed.

Citation： WANG Dongdong, WEI Fengxian, ZHANG Yuhao, ZHANG Haodong, XU Xiaodong. Current research status of blood routine indexes in predicting severity of acute pancreatitis. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2022, 29(2): 264-269. doi: 10.7507/1007-9424.202104090 Copy

1.	Petrov MS, Yadav D. Global epidemiology and holistic prevention of pancreatitis. Nat Rev Gastroenterol Hepatol, 2019, 16(3): 175-184.
2.	Lee PJ, Papachristou GI. New insights into acute pancreatitis. Nat Rev Gastroenterol Hepatol, 2019, 16(8): 479-496.
3.	Banks PA, Bollen TL, Dervenis C, et al. Classification of acute pancreatitis—2012: revision of the Atlanta classification and definitions by international consensus. Gut, 2013, 62(1): 102-111.
4.	Boxhoorn L, Voermans RP, Bouwense SA, et al. Acute pancreatitis. Lancet, 2020, 396(10252): 726-734.
5.	Salvagno GL, Sanchis-Gomar F, Picanza A, et al. Red blood cell distribution width: a simple parameter with multiple clinical applications. Crit Rev Clin Lab Sci, 2015, 52(2): 86-105.
6.	Li N, Zhou H, Tang Q. Red blood cell distribution width: a novel predictive indicator for cardiovascular and cerebrovascular diseases. Dis Markers, 2017, 2017: 7089493.
7.	Han F, Liu Y, Cheng S, et al. Diagnosis and survival values of neutrophil-lymphocyte ratio (NLR) and red blood cell distribution width (RDW) in esophageal cancer. Clin Chim Acta, 2019, 488: 150-158.
8.	Xanthopoulos A, Giamouzis G, Melidonis A, et al. Red blood cell distribution width as a prognostic marker in patients with heart failure and diabetes mellitus. Cardiovasc Diabetol, 2017, 16(1): 81.
9.	Zhang T, Li J, Lin Y, et al. Association between red blood cell distribution width and all-cause mortality in chronic kidney disease patients: a systematic review and meta-analysis. Arch Med Res, 2017, 48(4): 378-385.
10.	Epstein D, Nasser R, Mashiach T, et al. Increased red cell distribution width: a novel predictor of adverse outcome in patients hospitalized due to acute exacerbation of chronic obstructive pulmonary disease. Respir Med, 2018, 136: 1-7.
11.	Gravito-Soares M, Gravito-Soares E, Gomes D, et al. Red cell distribution width and red cell distribution width to total serum calcium ratio as major predictors of severity and mortality in acute pancreatitis. BMC Gastroenterol, 2018, 18(1): 108.
12.	薛建波, 陈娟, 仝建军, 等. 红细胞分布宽度和D-乳酸对急性胰腺炎病情评估的价值研究. 北京医学, 2020, 42(8): 731-733, 737.
13.	Ganji A, Esmaeilzadeh A, Ghanaei O, et al. Predictive value of red blood cell distribution width for mortality in patients with acute pancreatitis: a systematic review and meta-analysis. Med J Islam Repub Iran, 2017, 31: 124.
14.	Papadopoulos VP, Filippou DK, Mimidis KP. Mean platelet volume in acute pancreatitis: a systematic review and meta-analysis. Ann Gastroenterol, 2020, 33(4): 398-404.
15.	Lei JJ, Zhou L, Liu Q, et al. Can mean platelet volume play a role in evaluating the severity of acute pancreatitis? World J Gastroenterol, 2017, 23(13): 2404-2413.
16.	Zeng L, Cai X, Chen J, et al. Role of mean platelet volume in hypertriglyceridemia-induced acute pancreatitis during pregnancy. BMC Pregnancy Childbirth, 2020, 20(1): 592.
17.	Kefeli A, Basyigit S, Özgür Yeniova A, et al. Platelet number and indexes during acute pancreatitis. Euroasian J Hepatogastroenterol, 2014, 4(2): 67-69.
18.	招杰, 苏有盛, 朱海山. 红细胞比容、血清C反应蛋白及IL-6与急性胰腺炎严重程度的相关性分析. 临床医学工程, 2019, 26(8): 1057-1058.
19.	Deng LH, Hu C, Cai WH, et al. Plasma cytokines can help to identify the development of severe acute pancreatitis on admission. Medicine (Baltimore), 2017, 96(28): e7312.
20.	Koutroumpakis E, Wu BU, Bakker OJ, et al. Erratum: Admission hematocrit and rise in blood urea nitrogen at 24 h outperform other laboratory markers in predicting persistent organ failure and pancreatic necrosis in acute pancreatitis: A post hoc analysis of three large prospective databases. Am J Gastroenterol, 2016, 111(8): 1216. doi: 10.1038/ajg.2016.271.
21.	Madhi R, Rahman M, Taha D, et al. Platelet IP6K1 regulates neutrophil extracellular trap-microparticle complex formation in acute pancreatitis. JCI Insight, 2019, 4(23): e135102.
22.	Tokoro T, Makino I, Harada S, et al. Interactions between neutrophils and platelets in the progression of acute pancreatitis. Pancreas, 2020, 49(6): 830-836.
23.	Akbal E, Demirci S, Koçak E, et al. Alterations of platelet function and coagulation parameters during acute pancreatitis. Blood Coagul Fibrinolysis, 2013, 24(3): 243-246.
24.	Yarkaç A, Kose A, Bozkurt Babuş S, et al. The value of hematological parameters in acute pancreatitis. Ulus Travma Acil Cerrahi Derg, 2019, 25(5): 453-460.
25.	Ćeranić DB, Zorman M, Skok P. Interleukins and inflammatory markers are useful in predicting the severity of acute pancreatitis. Bosn J Basic Med Sci, 2020, 20(1): 99-105.
26.	刘召. 入院血小板计数水平和血浆D-二聚体水平对急性胰腺炎严重程度的预测作用. 沈阳: 中国医科大学, 2019.
27.	曹锡煌. 血小板分布宽度对重症急性胰腺炎预后的价值. 中国实用医药, 2020, 15(28): 26-28.
28.	Orak M, Karakoç Y, Ustundag M, et al. An investigation of the effects of the mean platelet volume, platelet distribution width, platelet/lymphocyte ratio, and platelet counts on mortality in patients with sepsis who applied to the emergency department. Niger J Clin Pract, 2018, 21(5): 667-671.
29.	Gao Y, Li Y, Yu X, et al. The impact of various platelet indices as prognostic markers of septic shock. PLoS One, 2014, 9(8): e103761.
30.	Wang F, Meng Z, Li S, et al. Platelet distribution width levels can be a predictor in the diagnosis of persistent organ failure in acute pancreatitis. Gastroenterol Res Pract, 2017, 2017: 8374215.
31.	周仁伟, 刘鹏军. PDW、PLT、MPV及BISAP评分对急性胰腺炎病情程度的预测价值. 热带医学杂志, 2017, 17(11): 1490-1493.
32.	侯伟, 李连谦, 武文龙, 等. 未成熟粒细胞百分率在重症急性胰腺炎早期评估中的临床价值. 中国普通外科杂志, 2020, 29(3): 341-347.
33.	Ünal Y. A new and early marker in the diagnosis of acute complicated appendicitis: immature granulocytes. Ulus Travma Acil Cerrahi Derg, 2018, 24(5): 434-439.
34.	Lipiński M, Rydzewska G. Immature granulocytes predict severe acute pancreatitis independently of systemic inflammatory response syndrome. Prz Gastroenterol, 2017, 12(2): 140-144.
35.	谭超超, 黄莹, 张黎维, 等. 未成熟粒细胞预测急性胰腺炎持续性全身炎症反应综合征的临床价值: 附1 973例分析. 中华危重病急救医学, 2018, 30(12): 1123-1127.
36.	Ünal Y, Barlas AM. Role of increased immature granulocyte percentage in the early prediction of acute necrotizing pancreatitis. Ulus Travma Acil Cerrahi Derg, 2019, 25(2): 177-182.
37.	Gezer NS, Bengi G, Baran A, et al. Comparison of radiological scoring systems, clinical scores, neutrophil-lymphocyte ratio and serum C-reactive protein level for severity and mortality in acute pancreatitis. Rev Assoc Med Bras (1992), 2020, 66(6): 762-770.
38.	Zhou H, Mei X, He X, et al. Severity stratification and prognostic prediction of patients with acute pancreatitis at early phase: a retrospective study. Medicine (Baltimore), 2019, 98(16): e15275.
39.	Kong W, He Y, Bao H, et al. Diagnostic value of neutrophil-lymphocyte ratio for predicting the severity of acute pancreatitis: a meta-analysis. Dis Markers, 2020, 2020: 9731854.
40.	Mandaliya H, Jones M, Oldmeadow C, et al. Prognostic biomarkers in stage Ⅳ non-small cell lung cancer (NSCLC): neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), platelet to lymphocyte ratio (PLR) and advanced lung cancer inflammation index (ALI). Transl Lung Cancer Res, 2019, 8(6): 886-894.
41.	Kurtul A, Ornek E. Platelet to lymphocyte ratio in cardiovascular diseases: a systematic review. Angiology, 2019, 70(9): 802-818.
42.	Hirahara T, Arigami T, Yanagita S, et al. Combined neutrophil-lymphocyte ratio and platelet-lymphocyte ratio predicts chemotherapy response and prognosis in patients with advanced gastric cancer. BMC Cancer, 2019, 19(1): 672. doi: 10.1186/s12885-019-5903-y.
43.	Gasparyan AY, Ayvazyan L, Mukanova U, et al. The platelet-to-lymphocyte ratio as an inflammatory marker in rheumatic diseases. Ann Lab Med, 2019, 39(4): 345-357.
44.	Cho SK, Jung S, Lee KJ, et al. Neutrophil to lymphocyte ratio and platelet to lymphocyte ratio can predict the severity of gallstone pancreatitis. BMC Gastroenterol, 2018, 18(1): 18.
45.	陈雪, 高峰, 张杰. 中性粒细胞与淋巴细胞比值、血小板与淋巴细胞比值和红细胞分布宽度对急性高甘油三酯血症性胰腺炎严重程度的预判价值. 中国临床医生杂志, 2018, 46(8): 898-901.
46.	邓兴锋, 罗灿桦, 林美红, 等. 红细胞分布宽度与血小板之比评估急性胰腺炎严重程度的价值. 广州医科大学学报, 2020, 48(2): 26-30.
47.	Cetinkaya E, Senol K, Saylam B, et al. Red cell distribution width to platelet ratio: new and promising prognostic marker in acute pancreatitis. World J Gastroenterol, 2014, 20(39): 14450-14454.
48.	İlhan M, İlhan G, Gök AF, et al. Evaluation of neutrophil-lymphocyte ratio, platelet-lymphocyte ratio and red blood cell distribution width-platelet ratio as early predictor of acute pancreatitis in pregnancy. J Matern Fetal Neonatal Med, 2016, 29(9): 1476-1480.
49.	刘江, 白杨, 阿孜古丽·阿不都热依木, 等. 中性粒细胞单核细胞乘积联合血肌酐诊断急性胰腺炎严重程度的价值. 南方医科大学学报, 2017, 37(9): 1270-1273.
50.	Kaplan M, Ates I, Oztas E, et al. A new marker to determine prognosis of acute pancreatitis: PLR and NLR combination. J Med Biochem, 2018, 37(1): 21-30.
51.	石琼梅, 惠朝晖, 张永顶, 等. 血清降钙素原联合血小板平均体积检测对急性胰腺炎的病情预测价值. 临床输血与检验, 2020, 22(1): 86-89.
52.	梁育飞, 李春秀, 李春英. 联合检测NLR、IL-6、CRP、PCT对急性胰腺炎的诊断价值. 中国现代医学杂志, 2018, 28(31): 64-68.
53.	Zhang W, Hu J, Yao B, et al. Evaluation of early prognostic factors of mortality in patients with acute pancreatitis: a retrospective study. Gastroenterol Res Pract, 2017, 2017: 8363561.
54.	Qiu Q, Nian YJ, Guo Y, et al. Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis. BMC Gastroenterol, 2019, 19(1): 118.

1. Petrov MS, Yadav D. Global epidemiology and holistic prevention of pancreatitis. Nat Rev Gastroenterol Hepatol, 2019, 16(3): 175-184.
2. Lee PJ, Papachristou GI. New insights into acute pancreatitis. Nat Rev Gastroenterol Hepatol, 2019, 16(8): 479-496.
3. Banks PA, Bollen TL, Dervenis C, et al. Classification of acute pancreatitis—2012: revision of the Atlanta classification and definitions by international consensus. Gut, 2013, 62(1): 102-111.
4. Boxhoorn L, Voermans RP, Bouwense SA, et al. Acute pancreatitis. Lancet, 2020, 396(10252): 726-734.
5. Salvagno GL, Sanchis-Gomar F, Picanza A, et al. Red blood cell distribution width: a simple parameter with multiple clinical applications. Crit Rev Clin Lab Sci, 2015, 52(2): 86-105.
6. Li N, Zhou H, Tang Q. Red blood cell distribution width: a novel predictive indicator for cardiovascular and cerebrovascular diseases. Dis Markers, 2017, 2017: 7089493.
7. Han F, Liu Y, Cheng S, et al. Diagnosis and survival values of neutrophil-lymphocyte ratio (NLR) and red blood cell distribution width (RDW) in esophageal cancer. Clin Chim Acta, 2019, 488: 150-158.
8. Xanthopoulos A, Giamouzis G, Melidonis A, et al. Red blood cell distribution width as a prognostic marker in patients with heart failure and diabetes mellitus. Cardiovasc Diabetol, 2017, 16(1): 81.
9. Zhang T, Li J, Lin Y, et al. Association between red blood cell distribution width and all-cause mortality in chronic kidney disease patients: a systematic review and meta-analysis. Arch Med Res, 2017, 48(4): 378-385.
10. Epstein D, Nasser R, Mashiach T, et al. Increased red cell distribution width: a novel predictor of adverse outcome in patients hospitalized due to acute exacerbation of chronic obstructive pulmonary disease. Respir Med, 2018, 136: 1-7.
11. Gravito-Soares M, Gravito-Soares E, Gomes D, et al. Red cell distribution width and red cell distribution width to total serum calcium ratio as major predictors of severity and mortality in acute pancreatitis. BMC Gastroenterol, 2018, 18(1): 108.
12. 薛建波, 陈娟, 仝建军, 等. 红细胞分布宽度和D-乳酸对急性胰腺炎病情评估的价值研究. 北京医学, 2020, 42(8): 731-733, 737.
13. Ganji A, Esmaeilzadeh A, Ghanaei O, et al. Predictive value of red blood cell distribution width for mortality in patients with acute pancreatitis: a systematic review and meta-analysis. Med J Islam Repub Iran, 2017, 31: 124.
14. Papadopoulos VP, Filippou DK, Mimidis KP. Mean platelet volume in acute pancreatitis: a systematic review and meta-analysis. Ann Gastroenterol, 2020, 33(4): 398-404.
15. Lei JJ, Zhou L, Liu Q, et al. Can mean platelet volume play a role in evaluating the severity of acute pancreatitis? World J Gastroenterol, 2017, 23(13): 2404-2413.
16. Zeng L, Cai X, Chen J, et al. Role of mean platelet volume in hypertriglyceridemia-induced acute pancreatitis during pregnancy. BMC Pregnancy Childbirth, 2020, 20(1): 592.
17. Kefeli A, Basyigit S, Özgür Yeniova A, et al. Platelet number and indexes during acute pancreatitis. Euroasian J Hepatogastroenterol, 2014, 4(2): 67-69.
18. 招杰, 苏有盛, 朱海山. 红细胞比容、血清C反应蛋白及IL-6与急性胰腺炎严重程度的相关性分析. 临床医学工程, 2019, 26(8): 1057-1058.
19. Deng LH, Hu C, Cai WH, et al. Plasma cytokines can help to identify the development of severe acute pancreatitis on admission. Medicine (Baltimore), 2017, 96(28): e7312.
20. Koutroumpakis E, Wu BU, Bakker OJ, et al. Erratum: Admission hematocrit and rise in blood urea nitrogen at 24 h outperform other laboratory markers in predicting persistent organ failure and pancreatic necrosis in acute pancreatitis: A post hoc analysis of three large prospective databases. Am J Gastroenterol, 2016, 111(8): 1216. doi: 10.1038/ajg.2016.271.
21. Madhi R, Rahman M, Taha D, et al. Platelet IP6K1 regulates neutrophil extracellular trap-microparticle complex formation in acute pancreatitis. JCI Insight, 2019, 4(23): e135102.
22. Tokoro T, Makino I, Harada S, et al. Interactions between neutrophils and platelets in the progression of acute pancreatitis. Pancreas, 2020, 49(6): 830-836.
23. Akbal E, Demirci S, Koçak E, et al. Alterations of platelet function and coagulation parameters during acute pancreatitis. Blood Coagul Fibrinolysis, 2013, 24(3): 243-246.
24. Yarkaç A, Kose A, Bozkurt Babuş S, et al. The value of hematological parameters in acute pancreatitis. Ulus Travma Acil Cerrahi Derg, 2019, 25(5): 453-460.
25. Ćeranić DB, Zorman M, Skok P. Interleukins and inflammatory markers are useful in predicting the severity of acute pancreatitis. Bosn J Basic Med Sci, 2020, 20(1): 99-105.
26. 刘召. 入院血小板计数水平和血浆D-二聚体水平对急性胰腺炎严重程度的预测作用. 沈阳: 中国医科大学, 2019.
27. 曹锡煌. 血小板分布宽度对重症急性胰腺炎预后的价值. 中国实用医药, 2020, 15(28): 26-28.
28. Orak M, Karakoç Y, Ustundag M, et al. An investigation of the effects of the mean platelet volume, platelet distribution width, platelet/lymphocyte ratio, and platelet counts on mortality in patients with sepsis who applied to the emergency department. Niger J Clin Pract, 2018, 21(5): 667-671.
29. Gao Y, Li Y, Yu X, et al. The impact of various platelet indices as prognostic markers of septic shock. PLoS One, 2014, 9(8): e103761.
30. Wang F, Meng Z, Li S, et al. Platelet distribution width levels can be a predictor in the diagnosis of persistent organ failure in acute pancreatitis. Gastroenterol Res Pract, 2017, 2017: 8374215.
31. 周仁伟, 刘鹏军. PDW、PLT、MPV及BISAP评分对急性胰腺炎病情程度的预测价值. 热带医学杂志, 2017, 17(11): 1490-1493.
32. 侯伟, 李连谦, 武文龙, 等. 未成熟粒细胞百分率在重症急性胰腺炎早期评估中的临床价值. 中国普通外科杂志, 2020, 29(3): 341-347.
33. Ünal Y. A new and early marker in the diagnosis of acute complicated appendicitis: immature granulocytes. Ulus Travma Acil Cerrahi Derg, 2018, 24(5): 434-439.
34. Lipiński M, Rydzewska G. Immature granulocytes predict severe acute pancreatitis independently of systemic inflammatory response syndrome. Prz Gastroenterol, 2017, 12(2): 140-144.
35. 谭超超, 黄莹, 张黎维, 等. 未成熟粒细胞预测急性胰腺炎持续性全身炎症反应综合征的临床价值: 附1 973例分析. 中华危重病急救医学, 2018, 30(12): 1123-1127.
36. Ünal Y, Barlas AM. Role of increased immature granulocyte percentage in the early prediction of acute necrotizing pancreatitis. Ulus Travma Acil Cerrahi Derg, 2019, 25(2): 177-182.
37. Gezer NS, Bengi G, Baran A, et al. Comparison of radiological scoring systems, clinical scores, neutrophil-lymphocyte ratio and serum C-reactive protein level for severity and mortality in acute pancreatitis. Rev Assoc Med Bras (1992), 2020, 66(6): 762-770.
38. Zhou H, Mei X, He X, et al. Severity stratification and prognostic prediction of patients with acute pancreatitis at early phase: a retrospective study. Medicine (Baltimore), 2019, 98(16): e15275.
39. Kong W, He Y, Bao H, et al. Diagnostic value of neutrophil-lymphocyte ratio for predicting the severity of acute pancreatitis: a meta-analysis. Dis Markers, 2020, 2020: 9731854.
40. Mandaliya H, Jones M, Oldmeadow C, et al. Prognostic biomarkers in stage Ⅳ non-small cell lung cancer (NSCLC): neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), platelet to lymphocyte ratio (PLR) and advanced lung cancer inflammation index (ALI). Transl Lung Cancer Res, 2019, 8(6): 886-894.
41. Kurtul A, Ornek E. Platelet to lymphocyte ratio in cardiovascular diseases: a systematic review. Angiology, 2019, 70(9): 802-818.
42. Hirahara T, Arigami T, Yanagita S, et al. Combined neutrophil-lymphocyte ratio and platelet-lymphocyte ratio predicts chemotherapy response and prognosis in patients with advanced gastric cancer. BMC Cancer, 2019, 19(1): 672. doi: 10.1186/s12885-019-5903-y.
43. Gasparyan AY, Ayvazyan L, Mukanova U, et al. The platelet-to-lymphocyte ratio as an inflammatory marker in rheumatic diseases. Ann Lab Med, 2019, 39(4): 345-357.
44. Cho SK, Jung S, Lee KJ, et al. Neutrophil to lymphocyte ratio and platelet to lymphocyte ratio can predict the severity of gallstone pancreatitis. BMC Gastroenterol, 2018, 18(1): 18.
45. 陈雪, 高峰, 张杰. 中性粒细胞与淋巴细胞比值、血小板与淋巴细胞比值和红细胞分布宽度对急性高甘油三酯血症性胰腺炎严重程度的预判价值. 中国临床医生杂志, 2018, 46(8): 898-901.
46. 邓兴锋, 罗灿桦, 林美红, 等. 红细胞分布宽度与血小板之比评估急性胰腺炎严重程度的价值. 广州医科大学学报, 2020, 48(2): 26-30.
47. Cetinkaya E, Senol K, Saylam B, et al. Red cell distribution width to platelet ratio: new and promising prognostic marker in acute pancreatitis. World J Gastroenterol, 2014, 20(39): 14450-14454.
48. İlhan M, İlhan G, Gök AF, et al. Evaluation of neutrophil-lymphocyte ratio, platelet-lymphocyte ratio and red blood cell distribution width-platelet ratio as early predictor of acute pancreatitis in pregnancy. J Matern Fetal Neonatal Med, 2016, 29(9): 1476-1480.
49. 刘江, 白杨, 阿孜古丽·阿不都热依木, 等. 中性粒细胞单核细胞乘积联合血肌酐诊断急性胰腺炎严重程度的价值. 南方医科大学学报, 2017, 37(9): 1270-1273.
50. Kaplan M, Ates I, Oztas E, et al. A new marker to determine prognosis of acute pancreatitis: PLR and NLR combination. J Med Biochem, 2018, 37(1): 21-30.
51. 石琼梅, 惠朝晖, 张永顶, 等. 血清降钙素原联合血小板平均体积检测对急性胰腺炎的病情预测价值. 临床输血与检验, 2020, 22(1): 86-89.
52. 梁育飞, 李春秀, 李春英. 联合检测NLR、IL-6、CRP、PCT对急性胰腺炎的诊断价值. 中国现代医学杂志, 2018, 28(31): 64-68.
53. Zhang W, Hu J, Yao B, et al. Evaluation of early prognostic factors of mortality in patients with acute pancreatitis: a retrospective study. Gastroenterol Res Pract, 2017, 2017: 8363561.
54. Qiu Q, Nian YJ, Guo Y, et al. Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis. BMC Gastroenterol, 2019, 19(1): 118.

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Current research status of blood routine indexes in predicting severity of acute pancreatitis

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