A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

By M. Charlson, P. Pompei, Kathy L. Ales, C. Mackenzie. 1987

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Citations in the corpus

AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records (2020, methodology): “…or consensus, such as the Sepsis-related Organ Failure Assessment [5] score and the National Early Warning Score [6], and through the analysis of conventional cohort studies, such as the History, Electrocardiogram, Age, Risk factors, and Troponin score [7] and the Charlson Comorbidity Index [8].”
comorbidity: An R package for computing comorbidity scores (2018, methodology): “(Charlson et al. 1987); conversely, we implemented the weighting system proposed by Moore et al . for the Elixhauser score (Moore et al. 2017).”
A combined comorbidity score predicted mortality in elderly patients better than existing scores (2011, methodology): “Number of Citations for Six Seminal Comorbidity Score Papers, 1988 to 2008 This plot displays the number of article citations, for each year between 1988 and 2008, for the papers describing the original Charlson Index [9], its variants [10–13], and the original Elixhauser comorbidity classification ”
New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. (2004, methodology): “[1] defined numerous clinical conditions through reviewing hospital charts and assessed their relevance in the prediction of 1-year mortality.”
Risk of Embolism and Death in Infective Endocarditis: Prognostic Value of Echocardiography: A Prospective Multicenter Study (2005, unknown): “Negative blood cultures‡ 76 (20) 15 (11) 61 (24) 0.”