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, 陳娟, 仝建軍, 等. 紅細胞分布寬度和D-乳酸對急性胰腺炎病情評估的價值研究. 北京醫學, 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, ?zgür Yeniova A, et al. Platelet number and indexes during acute pancreatitis. Euroasian J Hepatogastroenterol, 2014, 4(2): 67-69.
18.	招杰, 蘇有盛, 朱海山. 紅細胞比容、血清C反應蛋白及IL-6與急性胰腺炎嚴重程度的相關性分析. 臨床醫學工程, 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, Ko?ak E, et al. Alterations of platelet function and coagulation parameters during acute pancreatitis. Blood Coagul Fibrinolysis, 2013, 24(3): 243-246.
24.	Yarka? A, Kose A, Bozkurt Babu? S, et al. The value of hematological parameters in acute pancreatitis. Ulus Travma Acil Cerrahi Derg, 2019, 25(5): 453-460.
25.	?erani? 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.	劉召. 入院血小板計數水平和血漿D-二聚體水平對急性胰腺炎嚴重程度的預測作用. 沈陽: 中國醫科大學, 2019.
27.	曹錫煌. 血小板分布寬度對重癥急性胰腺炎預后的價值. 中國實用醫藥, 2020, 15(28): 26-28.
28.	Orak M, Karako? 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.	周仁偉, 劉鵬軍. PDW、PLT、MPV及BISAP評分對急性胰腺炎病情程度的預測價值. 熱帶醫學雜志, 2017, 17(11): 1490-1493.
32.	侯偉, 李連謙, 武文龍, 等. 未成熟粒細胞百分率在重癥急性胰腺炎早期評估中的臨床價值. 中國普通外科雜志, 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.	譚超超, 黃瑩, 張黎維, 等. 未成熟粒細胞預測急性胰腺炎持續性全身炎癥反應綜合征的臨床價值: 附1 973例分析. 中華危重病急救醫學, 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.	陳雪, 高峰, 張杰. 中性粒細胞與淋巴細胞比值、血小板與淋巴細胞比值和紅細胞分布寬度對急性高甘油三酯血癥性胰腺炎嚴重程度的預判價值. 中國臨床醫生雜志, 2018, 46(8): 898-901.
46.	鄧興鋒, 羅燦樺, 林美紅, 等. 紅細胞分布寬度與血小板之比評估急性胰腺炎嚴重程度的價值. 廣州醫科大學學報, 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.	?lhan M, ?lhan G, G?k 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.	劉江, 白楊, 阿孜古麗·阿不都熱依木, 等. 中性粒細胞單核細胞乘積聯合血肌酐診斷急性胰腺炎嚴重程度的價值. 南方醫科大學學報, 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.	石瓊梅, 惠朝暉, 張永頂, 等. 血清降鈣素原聯合血小板平均體積檢測對急性胰腺炎的病情預測價值. 臨床輸血與檢驗, 2020, 22(1): 86-89.
52.	梁育飛, 李春秀, 李春英. 聯合檢測NLR、IL-6、CRP、PCT對急性胰腺炎的診斷價值. 中國現代醫學雜志, 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, 陳娟, 仝建軍, 等. 紅細胞分布寬度和D-乳酸對急性胰腺炎病情評估的價值研究. 北京醫學, 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, ?zgür Yeniova A, et al. Platelet number and indexes during acute pancreatitis. Euroasian J Hepatogastroenterol, 2014, 4(2): 67-69.
18. 招杰, 蘇有盛, 朱海山. 紅細胞比容、血清C反應蛋白及IL-6與急性胰腺炎嚴重程度的相關性分析. 臨床醫學工程, 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, Ko?ak E, et al. Alterations of platelet function and coagulation parameters during acute pancreatitis. Blood Coagul Fibrinolysis, 2013, 24(3): 243-246.
24. Yarka? A, Kose A, Bozkurt Babu? S, et al. The value of hematological parameters in acute pancreatitis. Ulus Travma Acil Cerrahi Derg, 2019, 25(5): 453-460.
25. ?erani? 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. 劉召. 入院血小板計數水平和血漿D-二聚體水平對急性胰腺炎嚴重程度的預測作用. 沈陽: 中國醫科大學, 2019.
27. 曹錫煌. 血小板分布寬度對重癥急性胰腺炎預后的價值. 中國實用醫藥, 2020, 15(28): 26-28.
28. Orak M, Karako? 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. 周仁偉, 劉鵬軍. PDW、PLT、MPV及BISAP評分對急性胰腺炎病情程度的預測價值. 熱帶醫學雜志, 2017, 17(11): 1490-1493.
32. 侯偉, 李連謙, 武文龍, 等. 未成熟粒細胞百分率在重癥急性胰腺炎早期評估中的臨床價值. 中國普通外科雜志, 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. 譚超超, 黃瑩, 張黎維, 等. 未成熟粒細胞預測急性胰腺炎持續性全身炎癥反應綜合征的臨床價值: 附1 973例分析. 中華危重病急救醫學, 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. 陳雪, 高峰, 張杰. 中性粒細胞與淋巴細胞比值、血小板與淋巴細胞比值和紅細胞分布寬度對急性高甘油三酯血癥性胰腺炎嚴重程度的預判價值. 中國臨床醫生雜志, 2018, 46(8): 898-901.
46. 鄧興鋒, 羅燦樺, 林美紅, 等. 紅細胞分布寬度與血小板之比評估急性胰腺炎嚴重程度的價值. 廣州醫科大學學報, 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. ?lhan M, ?lhan G, G?k 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. 劉江, 白楊, 阿孜古麗·阿不都熱依木, 等. 中性粒細胞單核細胞乘積聯合血肌酐診斷急性胰腺炎嚴重程度的價值. 南方醫科大學學報, 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. 石瓊梅, 惠朝暉, 張永頂, 等. 血清降鈣素原聯合血小板平均體積檢測對急性胰腺炎的病情預測價值. 臨床輸血與檢驗, 2020, 22(1): 86-89.
52. 梁育飛, 李春秀, 李春英. 聯合檢測NLR、IL-6、CRP、PCT對急性胰腺炎的診斷價值. 中國現代醫學雜志, 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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