Indian Journal of Critical Care Medicine

Register      Login

SEARCH WITHIN CONTENT

FIND ARTICLE

Volume / Issue

Online First

Archive
Related articles

VOLUME 28 , ISSUE 4 ( April, 2024 ) > List of Articles

EDITORIAL

Is it Time to Develop an Indian Sepsis-related Mortality Prediction Score?

Dedeepiya Devaprasad Vidyasagar

Keywords : 90-day mortality, Mortality prediction, Sepsis, Severity score

Citation Information : Vidyasagar DD. Is it Time to Develop an Indian Sepsis-related Mortality Prediction Score?. Indian J Crit Care Med 2024; 28 (4):320-322.

DOI: 10.5005/jp-journals-10071-24693

License: CC BY-NC 4.0

Published Online: 30-03-2024

Copyright Statement:  Copyright © 2024; The Author(s).


Abstract

PDF Share
  1. Rudd KE, Johnson SC, Agesa KM, Shackelford, KA, Tsoi D, Kievlan DR, et al. Global, regional, and national sepsis incidence and mortality, 1990–2017: Analysis for the Global Burden of Disease Study. Lancet 2020;395(10219):200–211. DOI: https://doi.org/10.1016/S0140-6736(19)32989-7.
  2. Varkey B. Principles of clinical ethics and their application to practice. Med Princ Pract 2021;30(1):17–28. DOI: 10.1159/000509119.
  3. Knaus WA. APACHE 1978-2001: The development of a quality assurance system based on prognosis: Milestones and personal reflections. Arch Surg 2002;137(1):37–41. DOI: 10.1001/archsurg.137.1.37.
  4. Jahn M, Rekowski J, Gerken G, Kribben A, Canbay A, Katsounas A. The predictive performance of SAPS 2 and SAPS 3 in an intermediate care unit for internal medicine at a German university transplant center; A retrospective analysis. PloS one 2019;14(9):e0222164. DOI: https://doi.org/10.1371/journal.pone.0222164.
  5. Poole D, Rossi C, Latronico N, Rossi G, Finazzi S, Bertolini G, et al. Comparison between SAPS II and SAPS 3 in predicting hospital mortality in a cohort of 103 Italian ICUs. Is new always better?. Intensive care medicine 2012;38(8):1280–1288. DOI: https://doi.org/10.1007/s00134-012-2578-0.
  6. Vasilevskis E, Kuzniewicz MW, Cason BA, Lane RK, Dean ML, Clay T, et al. Mortality probability model III and simplified acute physiology score II: Assessing their value in predicting length of stay and comparison to APACHE IV. Chest 2009;136(1):89–101. DOI: https://doi.org/10.1378/chest.08-2591.
  7. Khwannimit B, Bhurayanontachai R, Vattanavanit V. Validation of the sepsis severity score compared with updated severity scores in predicting hospital mortality in sepsis patients. Shock 2017;47(6): 720–725. DOI: 10.1097/SHK..0000000000000818.
  8. Wu R, Jiang H, Mao G, Ren Y, Wang Y, Yan D, et al. Sepsis prognosis related scoring standards: A comprehensive review. Biotarget 2022;5:3. DOI: 10.21037/biotarget-21-5.
  9. Venkataraman R, Gopichandran V, Ranganathan L, Rajagopal S, Abraham BK, Ramakrishnan N. Mortality prediction using acute physiology and chronic health evaluation II and acute physiology and chronic health evaluation IV scoring systems: Is there a difference?. Indian J Crit Care Med 2018;22:332–335. DOI: https://doi.org/10.4103/ijccm.IJCCM_422_17.
  10. Rhee C, Klompas M. Sepsis trends: Increasing incidence and decreasing mortality, or changing denominator? J Thorac Dis 2020;12(Suppl 1):S89–S100. DOI: 10.21037/jtd.2019.12.51.
  11. Granholm A, Perner A, Krag M, Hjortrup PB, Haase N, Holst LB, et al. Development and internal validation of the Simplified mortality score for the intensive care unit (SMS-ICU). Acta anaesthesiologica Scandinavica 2018;62(3):336–346. DOI: https://doi.org/10.1111/aas.13048.
  12. Ferreira FL, Bota DP, Bross A, Mélot C, Vincent JL. Serial evaluation of the SOFA score to predict outcome in critically ill patients. JAMA 2001;286(14):1754–1758. DOI: 10.1001/jama.286.14.1754.
  13. Sathaporn N, Khwannimit B. Comparative predictive accuracies of the simplified mortality score for the intensive care unit, sepsis severity score, and standard severity scores for 90-day mortality in sepsis patients. Indian J Crit Care Med 2024;28(4):343–348.
  14. Haniffa R, Mukaka M, Munasinghe SB, De Silva AP, Jayasinghe KSA, Beane A, et al. Simplified prognostic model for critically ill patients in resource limited settings in South Asia. Crit Care 2017;21(1):250. DOI: 10.1186/s13054-017-1843-6.
  15. Southeast Asia Infectious Disease Clinical Research Network. Causes and outcomes of sepsis in southeast Asia: A multinational multicentre cross-sectional study. Lancet Glob Health 2017;5(2):e157–e167. DOI: https://doi.org/10.1016/S2214-109X(17)30007-4.
  16. Patil SS, Suresh KP, Shinduja R, Amachawadi RG, Chandrashekar S, Pradeep S, et al. Prevalence of methicillin-resistant staphylococcus aureus in India: A systematic review and meta-analysis. Oman medical journal 2022;37(4):e440. DOI: https://doi.org/10.5001/omj. 2022.22.
  17. Zhang Y, Xu W, Yang P, Zhang A. Machine learning for the prediction of sepsis-related death: A systematic review and meta-analysis. BMC Med Inform Decis Mak 2023;23:283. DOI: https://doi.org/10.1186/s12911-023-02383-1.
PDF Share
PDF Share

© Jaypee Brothers Medical Publishers (P) LTD.