Prediction Of Outcome In Critically Ill Or Emergency Surgical Patients: Comparision Of Ph, Base Deficit/Excess And Anion Gap

Prediction Of Outcome In Critically ILL Or Emergency Surgical Patients

Authors

  • Shekhar Chaudhary
  • Suresh Singh
  • Deepak Malviya

DOI:

https://doi.org/10.70284/njirm.v7i6.1385

Keywords:

LODS, pH, HCO3- and base excess/deficit

Abstract

Introduction: Abnormal arterial acid-base balance is among the best predictors of mortality in critically ill patient and early detector of serious conditions. The present study was undertaken to predict the outcome of critically ill patients and to compare various parameters for pH, base deficit/excess, anion gap correlate the prediction of mortality and morbidity of outcome. Method: The present study was conducted among 38 patients of age group 20-69 years of either sex, admitted in emergency and intensive Care unit at Nehru Hospital, BRD Medical College, Gorakhpur. Patients in both groups (19 each) were observed for hemodynamic parameters and biochemical parameters for maximum 3 days. Predicted mortality by LODS at the time of admission and actual mortality on day 3 were also noted. Results: Correlation between predicted mortality by LODS and actual mortality in medically ill patients shows high correlation for pH and moderate correlation for HCO3- and low correlation for anion gap and base excess/deficit. In emergency surgical patients high correlation was observed for pH, HCO3- and base excess/deficit while moderate correlation for anion gap. Conclusion: Measuring the pH, anion gap and base deficit at the time of admission, can predict the mortality rate which is comparable to other scoring systems. Early correction of acid-base alteration is recommended to reduce mortality rate. [Shekhar C NJIRM 2016; 7(6): 13-19]

References

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Published

2018-02-08

How to Cite

Chaudhary, S., Singh, S., & Malviya, D. (2018). Prediction Of Outcome In Critically Ill Or Emergency Surgical Patients: Comparision Of Ph, Base Deficit/Excess And Anion Gap: Prediction Of Outcome In Critically ILL Or Emergency Surgical Patients. National Journal of Integrated Research in Medicine, 7(6), 13–19. https://doi.org/10.70284/njirm.v7i6.1385

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Original Articles