The Association Between Absolute Lymphocyte Count and Long-Term Mortality in Critically Ill Medical Patients: Propensity Score-Based Analyses

References

• Prescott HC, Iwashyna TJ, Blackwood B., et al. Understanding and enhancing sepsis survivorship. Priorities for research and practice. Am J Respir Crit Care Med. 2019;200(8):972–981. doi:10.1164/rccm.201812-2383CP
   PubMed Web of Science ®Google Scholar
• Drake C, Wald HL, Eber LB, Trojanowski JI, Nearing KA, Boxer RS. Research priorities in post-acute and long-term care: results of a stakeholder needs assessment. J Am Med Dir Assoc. 2019;20(7):911–915. doi:10.1016/j.jamda.2019.02.018
   PubMed Web of Science ®Google Scholar
• Rawal G, Yadav S, Kumar R. Post-intensive care syndrome: an overview. J Transl Int Med. 2017;5(2):90–92. doi:10.1515/jtim-2016-0016
   PubMed Web of Science ®Google Scholar
• Voiriot G, Oualha M, Pierre A, et al. Chronic critical illness and post-intensive care syndrome: from pathophysiology to clinical challenges. Ann Intensive Care. 2022;12(1):58. doi:10.1186/s13613-022-01038-0
   PubMed Web of Science ®Google Scholar
• Lin Y, Kim J, Metter EJ, et al. Changes in blood lymphocyte numbers with age in vivo and their association with the levels of cytokines/cytokine receptors. Immun Ageing. 2016;13(1):24. doi:10.1186/s12979-016-0079-7
   PubMedGoogle Scholar
• Perry WA, Chow JK, Snydman DR. Difference in absolute lymphocyte count among male and female heart transplant recipients. Clin Transplant. 2021;35(9):e14412. doi:10.1111/ctr.14412
   PubMed Web of Science ®Google Scholar
• Adrie C, Lugosi M, Sonneville R, et al. Persistent lymphopenia is a risk factor for ICU-acquired infections and for death in ICU patients with sustained hypotension at admission. Ann Intensive Care. 2017;7(1):30. doi:10.1186/s13613-017-0242-0
   PubMedGoogle Scholar
• Cilloniz C, Peroni HJ, Gabarrus A, et al. Lymphopenia is associated with poor outcomes of patients with community-acquired pneumonia and sepsis. Open Forum Infect Dis. 2021;8(6):ofab169. doi:10.1093/ofid/ofab169
   PubMed Web of Science ®Google Scholar
• Zhao J, Huang W, Wu Y, et al. Prognostic role of pretreatment blood lymphocyte count in patients with solid tumors: a systematic review and meta-analysis. Cancer Cell Int. 2020;20(1):15. doi:10.1186/s12935-020-1094-5
   PubMed Web of Science ®Google Scholar
• Vaduganathan M, Ambrosy AP, Greene SJ, et al. Predictive value of low relative lymphocyte count in patients hospitalized for heart failure with reduced ejection fraction: insights from the EVEREST trial. Circ Heart Fail. 2012;5(6):750–758. doi:10.1161/CIRCHEARTFAILURE.112.970525
   PubMed Web of Science ®Google Scholar
• Huang I, Pranata R. Lymphopenia in severe coronavirus disease-2019 (COVID-19): systematic review and meta-analysis. Journal of Intensive Care. 2020;8(1):36. doi:10.1186/s40560-020-00453-4
   PubMed Web of Science ®Google Scholar
• Finfer S, Venkatesh B, Hotchkiss RS, Sasson SC. Lymphopenia in sepsis-an acquired immunodeficiency? Immunol Cell Biol. 2022;101(6):535–544. doi:10.1111/imcb.12611
   PubMed Web of Science ®Google Scholar
• Cheng Z, Abrams ST, Toh J, et al. The critical roles and mechanisms of immune cell death in sepsis. Front Immunol. 2020;11:1918. doi:10.3389/fimmu.2020.01918
   PubMed Web of Science ®Google Scholar
• Monneret G, Venet F, Kullberg BJ, Netea MG. ICU-acquired immunosuppression and the risk for secondary fungal infections. Med Mycol. 2011;49(Suppl 1):S17–23. doi:10.3109/13693786.2010.509744
   PubMedGoogle Scholar
• Chen IC, Chen HH, Jiang YH, Hsiao TH, Ko TM, Chao WC. Whole transcriptome analysis to explore the impaired immunological features in critically ill elderly patients with sepsis. J Transl Med. 2023;21(1):141. doi:10.1186/s12967-023-04002-z
   PubMed Web of Science ®Google Scholar
• Hsing AW, Ioannidis JP. Nationwide population science: lessons from the Taiwan National Health Insurance Research Database. JAMA Intern Med. 2015;175(9):1527–1529. doi:10.1001/jamainternmed.2015.3540
   PubMed Web of Science ®Google Scholar
• Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613–619. doi:10.1016/0895-4356(92)90133-8
   PubMed Web of Science ®Google Scholar
• Messmer AS, Zingg C, Muller M, Gerber JL, Schefold JC, Pfortmueller CA. Fluid overload and mortality in adult critical care patients-A systematic review and meta-analysis of observational studies. Crit Care Med. 2020;48(12):1862–1870. doi:10.1097/CCM.0000000000004617
   PubMed Web of Science ®Google Scholar
• Wang TJ, Pai KC, Huang CT, et al. A positive fluid balance in the first week was associated with increased long-term mortality in critically Ill patients: a retrospective cohort study. original research. Front Med. 2022;9:727103. doi:10.3389/fmed.2022.727103
   Web of Science ®Google Scholar
• Bursac Z, Gauss CH, Williams DK, Hosmer DW. Purposeful selection of variables in logistic regression. Source Code Biol Med. 2008;3(1):17. doi:10.1186/1751-0473-3-17
   PubMedGoogle Scholar
• Dehejia RH, W S. Propensity score-matching methods for nonexperimental causal studies. Review of Economics and Statistics. 2002;84(1):151–161. doi:10.1162/003465302317331982
   Web of Science ®Google Scholar
• Austin PC, Stuart EA. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med. 2015;34(28):3661–3679. doi:10.1002/sim.6607
   PubMed Web of Science ®Google Scholar
• Imai K, Ratkovic M. Covariate balancing propensity score. J R Stat Soc Series B Stat Methodol. 2014;76(1):243–263. doi:doi:10.1111/rssb.12027
   Web of Science ®Google Scholar
• Austin PC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm Stat. 2011;10(2):150–161. doi:10.1002/pst.433
   PubMed Web of Science ®Google Scholar
• Okoli GN, Sanders RD, Myles P. Demystifying propensity scores. Br J Anaesth. 2014;112(1):13–15. doi:10.1093/bja/aet290
   PubMed Web of Science ®Google Scholar
• Austin PC, Stuart EA. The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes. Stat Methods Med Res. 2017;26(4):1654–1670. doi:10.1177/0962280215584401
   PubMed Web of Science ®Google Scholar
• Needham DM, Davidson J, Cohen H, et al. Improving long-term outcomes after discharge from intensive care unit: report from a stakeholders’ conference. Crit Care Med. 2012;40(2):502–509. doi:10.1097/CCM.0b013e318232da75
   PubMed Web of Science ®Google Scholar
• Hill AD, Fowler RA, Pinto R, Herridge MS, Cuthbertson BH, Scales DC. Long-term outcomes and healthcare utilization following critical illness--a population-based study. Crit Care. 2016;20(1):76. doi:10.1186/s13054-016-1248-y
   PubMedGoogle Scholar
• Akbari H, Tabrizi R, Lankarani KB, et al. The role of cytokine profile and lymphocyte subsets in the severity of coronavirus disease 2019 (COVID-19): a systematic review and meta-analysis. Life Sci. 2020;258:118167. doi:10.1016/j.lfs.2020.118167
   PubMed Web of Science ®Google Scholar
• Girardot T, Rimmelé T, Venet F, Monneret G. Apoptosis-induced lymphopenia in sepsis and other severe injuries. Apoptosis. 2017;22(2):295–305. doi:10.1007/s10495-016-1325-3
   PubMed Web of Science ®Google Scholar
• Cheng SC, Scicluna BP, Arts RJ, et al. Broad defects in the energy metabolism of leukocytes underlie immunoparalysis in sepsis. Nat Immunol. 2016;17(4):406–413. doi:10.1038/ni.3398
   PubMed Web of Science ®Google Scholar
• Edwards MR, Sultan P, Del Arroyo AG, et al. Metabolic dysfunction in lymphocytes promotes postoperative morbidity. Clin Sci. 2015;129(5):423–437. doi:10.1042/CS20150024
   Web of Science ®Google Scholar
• Cheng PL, Chen HH, Jiang YH, et al. Using RNA-seq to investigate immune-metabolism features in immunocompromised patients with sepsis. Front Med. 2021;8:747263. doi:10.3389/fmed.2021.747263
   Web of Science ®Google Scholar
• Lin IH, Liao PY, Wong LT, Chan MC, Wu CL, Chao WC. Anaemia in the first week may be associated with long-term mortality among critically ill patients: propensity score-based analyses. BMC Emerg Med. 2023;23(1):32. doi:10.1186/s12873-023-00806-w
   PubMed Web of Science ®Google Scholar
• Hernan MA, Robins JM. Using big data to emulate a target trial when a randomized trial is not available. Am J Epidemiol. 2016;183(8):758–764. doi:10.1093/aje/kwv254
   PubMed Web of Science ®Google Scholar
• Hong JC. Strategies to turn real-world data into real-world knowledge. JAMA Netw Open. 2021;4(10):e2128045. doi:10.1001/jamanetworkopen.2021.28045
   PubMed Web of Science ®Google Scholar