World Journal of Emergency Medicine ›› 2020, Vol. 11 ›› Issue (2): 109-116.doi: 10.5847/wjem.j.1920-8642.2020.02.008
• Original Articles • Previous Articles Next Articles
Open Access
Shao-hua Liu1, Huo-yan Liang1, Hong-yi Li1, Xian-fei Ding1, Tong-wen Sun1(
), Jing Wang2(
)
Received:2019-07-20
Accepted:2020-01-09
Online:2020-04-01
Published:2020-04-01
Shao-hua Liu, Huo-yan Liang, Hong-yi Li, Xian-fei Ding, Tong-wen Sun, Jing Wang. Effect of low high-density lipoprotein levels on mortality of septic patients: A systematic review and meta-analysis of cohort studies[J]. World Journal of Emergency Medicine, 2020, 11(2): 109-116.
Add to citation manager EndNote|Ris|BibTeX
URL: http://wjem.com.cn/EN/10.5847/wjem.j.1920-8642.2020.02.008
Table 1
The characteristics of included studies
| The first author (year) | Country | Study design | No. of population (case/control) | Mean age of patients population | Mean age of control population | Sample source | Source divided into case/control group | Levels of HDL in case/control group (mg/dL) | Study period | Reported outcomes | Source of definition of sepsis/severe sepsis /septic shock |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Shor (2008)[ | Israel | RC | 108/96 | 66.6 | 66.3 | Serum | Levels of serum HDL | <20 /≥65 | 01/2005- 12/2005 | Risk of sepsis | ACCP/SCCM consensus conference definitions |
| Genga (2017)[ | Canada | OC | 11/24 | 55.8 | 53.7 | Plasma | Levels of serum HDL | <33.06 /≥33.06 | 01/2011- 07/2013 | 2-year mortality | Institutional Sepsis Protocol |
| Chien (2005)[ | China | PC | 30/33 | 72.5 | 72 | Serum | Levels of serum HDL | <20 /≥20 | 10/2002- 01/2003 | 30-day mortality | ACCP/SCCM consensus conference definitions |
| Lekkou (2014)[ | Greece | PC | 28/22 | 64.8 | 66.2 | Serum | Levels of serum HDL | <25 /≥25 | NA | Mortality | SIRS |
| Grion (2010)[ | Brazil | PC | 51/71 | 65.81 | 65.12 | Serum | Levels of serum HDL | 33.07 /40.33 | 05/2005- 12/2005 | Risk of sepsis | ACCP/SCCM consensus conference definitions |
| Cirstea (2017)[ | Canada | OC | 68/132 | 56.5 | 55.9 | Serum | Levels of serum HDL | <25.1 /≥25.1 | 01/2011- 06/2014 | 28-day mortality | Suspected sepsis protocol |
| Lee (2015)[ | South Korea | PC | 65/52 | 63 | 62.3 | Serum | Survivors/non-survivors | 21 /21 | 08/2008- 12/2008 | Mortality | The identification of an infection site + three or four SIRS |
Table 2
The Newcastle-Ottawa Scale (NOS) for assessing the quality of cohort studies
| Author | Selection | Comparability | Assessment of outcome | Total quality score | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Representativeness of exposure arm(s) | Selection of the comparative arm(s) | Origin of exposure source | Demonstration that outcome of interest was not present at start of study | Studies controlling the most important factors | Studies controlling the other main factors | Assessment of outcome with independency | Adequacy of follow-up length (to assess outcome) | Lost to follow-up acceptable (less than 10% and reported) | ||
| Shor (2008)[ | * | * | * | * | * | * | - | * | - | 7 |
| Genga (2017)[ | * | * | * | * | * | - | * | * | - | 7 |
| Chien (2005)[ | * | * | * | * | * | * | - | * | - | 7 |
| Lekkou (2014)[ | * | * | * | * | * | - | * | * | - | 7 |
| Grion (2010)[ | * | * | * | * | * | * | * | * | - | 8 |
| Cirstea (2017)[ | * | - | * | * | * | * | * | * | - | 7 |
| Lee (2015)[ | * | * | * | * | * | * | * | * | - | 8 |
| 1 | Shankar-Hari M, Phillips G, Levy M, Seymour C, Liu V, Deutschman C, et al. Developing a New Definition and Assessing New Clinical Criteria for Septic Shock: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA. 2016; 315(8):775-87. |
| 2 | Czupryna P, Garkowski A, Moniuszko A, Pancewicz S, Ciemerych A, Zajkowska J. Patients with sepsis in infectious diseases department in years 1997-2010 - epidemiology and clinical features. Przegl Epidemiol. 2013; 67(3):429-34,535-8. |
| 3 | Vincent JL, Pereira AJ, Gleeson J, Backer D. Early management of sepsis. Clin Exp Emerg Med. 2014; 1(1):3-7. |
| 4 | Dendoncker K, Libert C. Glucocorticoid resistance as a major drive in sepsis pathology. Cytokine Growth Factor Rev. 2017; 35:85-96. |
| 5 | Piepoli MF, Hoes AW, Agewall S, Albus C, Brotons C, Catapano AL, et al. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts)Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur Heart J. 2016; 37(29):2315-81. |
| 6 | Shor R, Wainstein J, Oz D, Boaz M, Matas Z, Fux A, et al. Low HDL levels and the risk of death, sepsis and malignancy. Clinical Research in Cardiology. 2008; 97(4):227-33. |
| 7 | Roveran Genga K, Lo C, Cirstea M, Zhou G, Walley KR, Russell JA, et al. Two-year follow-up of patients with septic shock presenting with low HDL: the effect upon acute kidney injury, death and estimated glomerular filtration rate. Journal of Internal Medicine. 2017; 281(5):518-29. |
| 8 | Murch O, Collin M, Hinds CJ, Thiemermann C. Lipoproteins in inflammation and sepsis. I. Basic science. Intensive Care Med. 2007; 33(1):13-24. |
| 9 | Walley KR, Thain KR, Russell JA, Reilly MP, Meyer NJ, Ferguson JF, et al. PCSK9 is a critical regulator of the innate immune response and septic shock outcome. Sci Transl Med. 2014; 6(258):258ra143. |
| 10 |
Guo L, Zheng Z, Ai J, Huang B, Li XA. Hepatic scavenger receptor BI protects against polymicrobial-induced sepsis through promoting LPS clearance in mice. J Biol Chem. 2014; 289(21):14666-73.
pmid: 24719333 |
| 11 | Levels JH, Abraham PR, van den Ende A, van Deventer SJ. Distribution and kinetics of lipoprotein-bound endotoxin. Infect Immun. 2001; 69(5):2821-8. |
| 12 | Levels JH, Abraham PR, van Barreveld EP, Meijers JC, van Deventer SJ. Distribution and kinetics of lipoprotein-bound lipoteichoic acid. Infect Immun. 2003; 71(6):3280-4. |
| 13 | Kon V, Yang H, Fazio S. Residual Cardiovascular risk in chronic kidney disease: role of high-density lipoprotein. Arch Med Res. 2015; 46(5):379-91. |
| 14 | Jones T, Wong H, Meyer N. HDL cholesterol: A “pathogen lipid sink” for sepsis? Am J Respir Crit Care Med. 2019; 199(7):812-4. |
| 15 | Barlage S, Gnewuch C, Liebisch G, Wolf Z, Audebert FX, Gluck T, et al. Changes in HDL-associated apolipoproteins relate to mortality in human sepsis and correlate to monocyte and platelet activation. Intensive Care Med. 2009; 35(11):1877-85. |
| 16 |
Chien YF, Chen CY, Hsu CL, Chen KY, Yu CJ. Decreased serum level of lipoprotein cholesterol is a poor prognostic factor for patients with severe community-acquired pneumonia that required intensive care unit admission. J Crit Care. 2015; 30(3):506-10.
doi: 10.1016/j.jcrc.2015.01.001 pmid: 25702844 |
| 17 | Lagrost L, Girard C, Grosjean S, Masson D, Deckert V, Gautier T, et al. Low preoperative cholesterol level is a risk factor of sepsis and poor clinical outcome in patients undergoing cardiac surgery with cardiopulmonary bypass. Crit Care Med. 2014; 42(5):1065-73. |
| 18 |
Lekkou A, Mouzaki A, Siagris D, Ravani I, Gogos CA. Serum lipid profile, cytokine production, and clinical outcome in patients with severe sepsis. J Crit Care. 2014; 29(5):723-7.
pmid: 24891152 |
| 19 | Shor R, Wainstein J, Oz D, Boaz M, Matas Z, Fux A, et al. Low serum LDL cholesterol levels and the risk of fever, sepsis, and malignancy. Ann Clin Lab Sci. 2007; 37(4):343-8. |
| 20 | Chien JY, Jerng JS, Yu CJ, Yang PC. Low serum level of high-density lipoprotein cholesterol is a poor prognostic factor for severe sepsis. Crit Care Med. 2005; 33(8):1688-93. |
| 21 |
Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol. 2009; 62(10):1006-12.
pmid: 19631508 |
| 22 | Wells GSB, O’Connell D, Peterson J, Welch V, Losos M, Tugwell P. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Available at: http://www.ohri.ca/programs/clinical_epidemiology/oxford.htm. Accessed 2019. |
| 23 | Grion CMC, Cardoso LTQ, Perazolo TF, Garcia AS, Barbosa DS, Morimoto HK, et al. Lipoproteins and CETP levels as risk factors for severe sepsis in hospitalized patients. European Journal of Clinical Investigation. 2010; 40(4):330-8. |
| 24 |
Cirstea M, Walley KR, Russell JA, Brunham LR, Genga KR, Boyd JH. Decreased high-density lipoprotein cholesterol level is an early prognostic marker for organ dysfunction and death in patients with suspected sepsis. J Crit Care. 2017; 38:289-94.
pmid: 28013095 |
| 25 | Lee SH, Park MS, Park BH, Jung WJ, Lee IS, Kim SY, et al. Prognostic implications of serum lipid metabolism over time during sepsis. Biomed Res Int. 2015; 2015:789298. |
| 26 |
Lekkou A, Mouzaki A, Siagris D, Ravani I, Gogos CA. Serum lipid profile, cytokine production, and clinical outcome in patients with severe sepsis. J Crit Care. 2014; 29(5):723-7.
doi: 10.1016/j.jcrc.2014.04.018 pmid: 24891152 |
| 27 | Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002; 21(11):1539-58. |
| 28 | Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003; 327(7414):557-60. |
| 29 |
Guo L, Ai J, Zheng Z, Howatt DA, Daugherty A, Huang B, et al. High density lipoprotein protects against polymicrobe-induced sepsis in mice. J Biol Chem. 2013; 288(25):17947-53.
pmid: 23658016 |
| 30 | McDonald M, Dhadly P, Cockerill G, Cuzzocrea S, Mota-Filipe H, Hinds C, et al. Reconstituted high-density lipoprotein attenuates organ injury and adhesion molecule expression in a rodent model of endotoxic shock. Shock. 2003; 20(6):551-7. |
| 31 |
Netea MG, Demacker PN, Kullberg BJ, Boerman OC, Verschueren I, Stalenhoef AF, et al. Low-density lipoprotein receptor-deficient mice are protected against lethal endotoxemia and severe gram-negative infections. J Clin Invest. 1996; 97(6):1366-72.
pmid: 8617867 |
| 32 | Birjmohun RS, van Leuven SI, Levels JH, van’t Veer C, Kuivenhoven JA, Meijers JC, et al. High-density lipoprotein attenuates inflammation and coagulation response on endotoxin challenge in humans. Arterioscler Thromb Vasc Biol. 2007; 27(5):1153-8. |
| 33 |
Pajkrt D, Doran JE, Koster F, Lerch PG, Arnet B, van der Poll T, et al. Antiinflammatory effects of reconstituted high-density lipoprotein during human endotoxemia. J Exp Med. 1996; 184(5):1601-8.
doi: 10.1084/jem.184.5.1601 pmid: 8920850 |
| 34 | Mackness MI, Durrington PN, Mackness B. How high-density lipoprotein protects against the effects of lipid peroxidation. Curr Opin Lipidol. 2000; 11(4):383-8. |
| 35 | Chung DW, Chen J, Ling M, Fu X, Blevins T, Parsons S, et al. High-density lipoprotein modulates thrombosis by preventing von Willebrand factor self-association and subsequent platelet adhesion. Blood. 2016; 127(5):637-45. |
| 36 |
Kitchens RL, Wolfbauer G, Albers JJ, Munford RS. Plasma lipoproteins promote the release of bacterial lipopolysaccharide from the monocyte cell surface. J Biol Chem. 1999; 274(48):34116-22.
doi: 10.1074/jbc.274.48.34116 pmid: 10567381 |
| 37 | Green P, Theilla M, Singer P. Lipid metabolism in critical illness. Curr Opin Clin Nutr Metab Care. 2016; 19(2):111-5. |
| 38 | Osborn TM, Phillips G, Lemeshow S, Townsend S, Schorr CA, Levy MM, et al. Sepsis severity score: an internationally derived scoring system from the surviving sepsis campaign database. Crit Care Med. 2014; 42(9):1969-76. |
| 39 |
Zou Q, Wen W, Zhang XC. Presepsin as a novel sepsis biomarker. World J Emerg Med. 2014; 5(1):16-9.
pmid: 25215141 |
| 40 | Dellinger RP, Tomayko JF, Angus DC, Opal S, Cupo MA, McDermott S, et al. Efficacy and safety of a phospholipid emulsion (GR270773) in Gram-negative severe sepsis: results of a phase II multicenter, randomized, placebo-controlled, dose-finding clinical trial. Crit Care Med. 2009; 37(11):2929-38. |
| 41 |
Musher DM, Longo DL, Abers MS, Corrales-Medina VF. Acute infection and myocardial infarction. N Engl J Med. 2019; 380(2):171-6.
pmid: 30625066 |
| 42 | Willeit P, Ridker PM, Nestel PJ, Simes J, Tonkin AM, Pedersen TR, et al. Baseline and on-statin treatment lipoprotein(a) levels for prediction of cardiovascular events: individual patient-data meta-analysis of statin outcome trials. Lancet. 2018; 392(10155):1311-20. |
| [1] | Haitao Ren, Yong’an Xu. Interpretative machine learning for predicting 60-day mortality in burn patients with suspected infection [J]. World Journal of Emergency Medicine, 2026, 17(3): 244-249. |
| [2] | Hui Chen, Yuanhua Lu, Songjie Bai, Yang Li, Tao Wang, Long Cai, Xinyi Yang, Yang Fang, Jianguo Wan, Yaqun Tang, Wenqiang Tao, Meiling Huang, Wei Zhong, Fen Liu, Kejian Qian. Stress-hyperglycemia ratio and glycemic variability predict severity and mortality in sepsis-associated acute respiratory distress syndrome [J]. World Journal of Emergency Medicine, 2026, 17(3): 250-257. |
| [3] | Yi Yao, Wenjin Li, Dejiang Hong, Ze Chen, Kai Peng, Guangju Zhao. Prediction model for quality of life in sepsis survivors one year after discharge [J]. World Journal of Emergency Medicine, 2026, 17(2): 105-112. |
| [4] | Zengzheng Ge, Xin Lu, Shiyuan Yu, Mubing Qin, Chao Gong, Qun Xu, Yanxia Gao, Joseph Harold Walline, Huadong Zhu, Yi Li. Diagnostic value of mismatch-negativity and P3a event-related potentials for sepsis-associated encephalopathy in non-sedated patients: a pilot study [J]. World Journal of Emergency Medicine, 2026, 17(2): 172-178. |
| [5] | Jinlan Ma, Li Peng, Hongming Yu, Jianfeng Xie, Ying Tang, Shenglin Su, Libing Ma, Xiaojun Yang. Single-cell transcriptomics reveals pathogen-specific monocyte heterogeneity and potential biomarkers in gram-positive versus gram-negative bloodstream infections [J]. World Journal of Emergency Medicine, 2026, 17(2): 162-171. |
| [6] | Paulo Henrique Reis Negreiros, Mariana Rebello Hilgert, Bruno Guerra, Maurício de Carvalho, Hugo Manuel Paz Morale, Gustavo Lenci Marques. The Brazilian risk assessment severity index score: a novel tool for predicting in-hospital mortality in emergency departments [J]. World Journal of Emergency Medicine, 2026, 17(2): 154-161. |
| [7] | Yuanwei Fu, Yilan Yang, Hua Zhang, Daidai Wang, Qiangrong Zhai, Lanfang Du, Nijiati Muyesai, Yanxia Gao, Qingbian Ma. Development and validation of machine learning-based in-hospital mortality predictive models for acute aortic syndrome in emergency departments [J]. World Journal of Emergency Medicine, 2026, 17(1): 43-49. |
| [8] | Xin Lu, Mubing Qin, Zengrui Song, Ying Chen, Huadong Zhu, Yanxia Gao, Yi Li. Normal initial lactate level in sepsis patients: is lactate still useful for prognosis prediction? [J]. World Journal of Emergency Medicine, 2026, 17(1): 57-64. |
| [9] | Yuhui Pan, Yanyan Ma, Ke Wan, Yizhou Xu, Guoxing Wang, Miaorong Xie. Endothelial cell injury: a crucial link in microcirculatory dysfunction associated with sepsis [J]. World Journal of Emergency Medicine, 2026, 17(1): 28-35. |
| [10] | Ping Gong, Hong Zhao, Peijuan Li, Ling Wang, Jin Wang, Rui Yang, Zhangping Sun. Elevated serum osmolarity is associated with 28-day all-cause mortality in patients with cardiac arrest [J]. World Journal of Emergency Medicine, 2026, 17(1): 50-56. |
| [11] | Wei Gu, Jie Zhong, Chuanzhu Lyu, Guoqiang Zhang, Miaorong Xie, Yuefeng Ma, Wei Guo. An approach for the emergency diagnosis and treatment of sepsis-associated encephalopathy in elderly individuals: a literature review [J]. World Journal of Emergency Medicine, 2025, 16(5): 415-422. |
| [12] | Zesheng Wu, Fanghui Chen, Chen Xiao, Xue Zhao, Yuansheng Xu, Jinyan Fang, Yinyan Shao. Long-term cardiovascular outcomes and risk factors in adult sepsis survivors: a systematic review and meta-analysis [J]. World Journal of Emergency Medicine, 2025, 16(5): 423-430. |
| [13] | Qiaosheng Wang, Qiong Luo, Zhiwei Su, Yan Xu, Liangshan Peng, Yin Wen, Hongke Zeng, Hongguang Ding. Activation of the α7 nicotinic acetylcholine receptor mitigates cognitive deficits in mice with sepsis-associated encephalopathy by inhibiting microglial pyroptosis [J]. World Journal of Emergency Medicine, 2025, 16(5): 438-446. |
| [14] | Sen Jiang, Xiandong Liu, Tong Liu, Yi Gu, Bo An, Chunxue Wang, Dongyang Zhao, Haitao Zhang, Lunxian Tang. Performance of a novel medical artificial intelligence large language model on supporting decision-making for emergency patients with suspected sepsis [J]. World Journal of Emergency Medicine, 2025, 16(5): 447-455. |
| [15] | Xiaodong Huang, Zhihong Xu, Siyao Liu, Xiong Liu, Long Lin, Mandong Pan, Xianwei Huang, Jiyan Lin. Association of fluid balance index with in-hospital mortality in critically ill patients with acute pancreatitis: a multicenter retrospective cohort study [J]. World Journal of Emergency Medicine, 2025, 16(5): 462-468. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
