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Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Prognostic nomogram for inpatients with asthma exacerbation.

Wakae Hasegawa1, Yasuhiro Yamauchi2, Hideo Yasunaga3

  • 1Department of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.

BMC Pulmonary Medicine
|August 6, 2017
PubMed
Summary

This study developed a nomogram to predict in-hospital death for asthma exacerbation patients. The tool helps physicians assess individual patient risk, improving prognosis prediction for severe asthma attacks.

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Area of Science:

  • Pulmonology and Critical Care Medicine
  • Medical Informatics and Predictive Modeling

Background:

  • Asthma exacerbations can lead to hospitalization and mortality, yet prognostic factors and predictive tools for in-hospital outcomes are limited.
  • Understanding factors influencing in-hospital mortality is crucial for managing severe asthma exacerbations.
  • Current methods lack the ability to predict prognosis for hospitalized asthma patients.

Purpose of the Study:

  • To investigate clinical features and factors associated with in-hospital mortality in adult patients experiencing asthma exacerbation.
  • To develop and validate a predictive nomogram for in-hospital death in this patient population.
  • To provide physicians with a tool for individual risk assessment of mortality during hospitalization for asthma exacerbation.

Main Methods:

  • Retrospective analysis of hospitalization data from the Japanese Diagnosis Procedure Combination database (July 2010 - March 2013).
  • Inclusion of adult patients hospitalized for asthma exacerbation.
  • Cox proportional hazards regression analysis to identify mortality predictors; nomogram construction for in-hospital death prediction.

Main Results:

  • A cohort of 19,684 patients with asthma exacerbation was analyzed; 118 (0.6%) died during hospitalization.
  • Factors significantly associated with increased in-hospital mortality included older age, male sex, reduced consciousness, pneumonia, and heart failure.
  • A validated nomogram incorporating seven admission variables was developed, demonstrating good calibration for predicting in-hospital death risk.

Conclusions:

  • The developed nomogram effectively predicts the risk of in-hospital death for patients with asthma exacerbation.
  • This tool empowers physicians to personalize risk assessment and potentially improve management strategies for severe asthma.
  • The nomogram offers a valuable method for estimating individual prognosis in hospitalized asthma patients.