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[This retracts the article DOI: 10.7759/cureus.19937.].
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[This retracts the article DOI: 10.7759/cureus.18803.].
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Introduction Multimorbidity is defined as the coexistence of more than one chronic condition in one individual. It is related to enhanced rates of disability and mortality, enhanced disease burden, decreased function levels, and it can affect the wellbeing and daily activities of people, including loss of autonomy and independence. The aim of the current study is to determine the predictors of quality of life among patients with multimorbidity in Karachi, Pakistan. Methodology It was a cross-sectional study conducted in 12 health care facilities of six districts in Karachi, Pakistan. Two health care facilities were selected from each district using a convenient sampling technique. The total sample size of this study was 690, equally distributed among 12 health care facilities. Results The majority of participants (33.47%) belonged to the age group of 40 to 49 years, while 29.85% of participants had an age between 30 to 39 years. More than half of the participants were females (50.87%). Overall, the multivariate analysis showed being male, married, younger, high educational status and employed were positively associated with quality of life. While having lower family income is negatively associated with quality of life. Conclusion The findings of this study had important implications for identifying distinct multimorbidity individuals who were at risk of a lower quality of life, and they emphasized the need for disease detection and treatment at an early stage. The study can also give important evidence for decision-makers when it comes to allocating health resources more efficiently, and health administrative departments can improve chronic disease management.
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INTRODUCTION: Charlson Comorbidity Index (CCI) is a simple, validated, and readily acceptable method of determining the risk of mortality from comorbid disease. It has been used as a predictor of long-term survival and prognosis. The aim of this study is to determine the impact of CCI score on mortality in COVID-19 hospitalized patients and test the efficacy of the CoLACD score (COVID-19 lymphocyte ratio, age, CCI score, dyspnoea) in predicting mortality among hospitalized COVID-19 patients. METHODOLOGY: It was a retrospective cohort, and the data of this study were gathered from two tertiary hospitals of Karachi, including Liaquat National Hospital and Ziauddin Hospital. Data of patients hospitalized in any of these tertiary care hospitals and diagnosed with confirmed COVID-19 infection were used in the study from January 15, 2021, to April 30, 2021. RESULTS: The mean age of participants was 53.22 (±14.21) years. The majority of participants were males (74.91%). Predictors of mortality include CCI score, age of participants, D-dimer, smoking status, and shortness of breath. The sensitivity of this CoLACD score was 80.23%, and specificity was 50.23% (diagnostic accuracy is 60.45%). The negative predictive value (NPV) of this test was 39.44%, and the positive predictive value (PPV) was 83.01%. CONCLUSION: Our study showed that CCI can be used in a clinical setting to achieve a prediction of mortality in COVID-19 patients.