Literature DB >> 31775530

The association between charlson comorbidity index and mortality in acute coronary syndrome - the MADDEC study.

Markus Hautamäki1, Leo-Pekka Lyytikäinen1,2,3, Shadi Mahdiani1,4, Markku Eskola1,2, Terho Lehtimäki1,3,5, Kjell Nikus1,2,3, Kari Antila4, Niku Oksala1,3,6, Jussi Hernesniemi1,2,3.   

Abstract

Objectives. Acute coronary syndrome (ACS) is associated with high mortality. Charlson comorbidity index (CCI) was designed over 30 years ago to measure the impact of pre-existing comorbidities on long-term survival of the patient. We wanted to re-evaluate the performance of CCI and its components in modern setting. Design. This is a retrospective study of 1576 consecutive patients undergoing invasive evaluation and treated for ACS in single tertiary center between 2015-2016. Mortality was analyzed in timeframes of 1, 6 and 24 months. CCI-scores were retrieved from written medical records and complimented with data from electronic sources. The performance of CCI and its components was compared to the GRACE-score measuring patients' status upon hospital admission. Results. Population mean age at baseline was 69.3 (SD 11.8) years and 69.1% of the patients were male (n = 1089). Most of the components of CCI associated significantly with mortality at all timeframes despite adjusting for age but only diabetes and congestive heart failure associated with mortality at all time points after adjusting for GRACE-score. CCI associated with mortality [GRACE adjusted HR-values of single unit increase of CCI after 1, 6 and 24-month follow-up: 1.12(95% CI:1.00-1.25), 1.17(1.07-1.29) and 1.24(1.16-1.33)]. CCI performed modestly with its AUC-values ranging between 0.755 and 0.784, with prognostic performance increasing with longer follow-up. Adding components of CCI did not significantly improve risk prediction over GRACE-score. Conclusions. In conclusion, CCI or its individual components measuring the impact of comorbidities on overall mortality does not provide any significant value compared to GRACE-score during up to 2 years of follow-up.

Entities:  

Keywords:  Charlson comorbidity index; Comorbidity; GRACE; mortality; myocardial infarction; prognosis; survival

Mesh:

Year:  2019        PMID: 31775530     DOI: 10.1080/14017431.2019.1693615

Source DB:  PubMed          Journal:  Scand Cardiovasc J        ISSN: 1401-7431            Impact factor:   1.589


  5 in total

Review 1.  Predicting Major Adverse Cardiovascular Events in Acute Coronary Syndrome: A Scoping Review of Machine Learning Approaches.

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2.  Prehospital Adenosine Diphosphate Receptor Blocker Use, Culprit Artery Flow, and Mortality in STEMI: The MADDEC Study.

Authors:  Markus Hautamäki; Leo-Pekka Lyytikäinen; Markku Eskola; Terho Lehtimäki; Kjell Nikus; Niku Oksala; Juho Tynkkynen; Jussi Hernesniemi
Journal:  Clin Drug Investig       Date:  2021-06-08       Impact factor: 2.859

3.  Predicting 30-Day and 180-Day Mortality in Elderly Proximal Hip Fracture Patients: Evaluation of 4 Risk Prediction Scores at a Level I Trauma Center.

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Journal:  Diagnostics (Basel)       Date:  2021-03-11

4.  Impact of multimorbidity on long-term outcomes in older adults with non-ST elevation acute coronary syndrome in the North East of England: a multi-centre cohort study of patients undergoing invasive care.

Authors:  Benjamin Beska; Greg B Mills; Hanna Ratcovich; Chris Wilkinson; Abdulla A Damluji; Vijay Kunadian
Journal:  BMJ Open       Date:  2022-07-26       Impact factor: 3.006

5.  Long-term exposure to particulate matter was associated with increased dementia risk using both traditional approaches and novel machine learning methods.

Authors:  Yuan-Horng Yan; Ting-Bin Chen; Chun-Pai Yang; I-Ju Tsai; Hwa-Lung Yu; Yuh-Shen Wu; Winn-Jung Huang; Shih-Ting Tseng; Tzu-Yu Peng; Elizabeth P Chou
Journal:  Sci Rep       Date:  2022-10-12       Impact factor: 4.996

  5 in total

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