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Belayneh A, Chelkeba L, Amare F, Fisseha H, Abdissa SG, Kaba M, Patel SA, Ali MK. Investigation of non-communicable diseases prevalence, patterns, and patient outcomes in hospitalized populations: a prospective observational study in three tertiary hospitals. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2024; 43:128. [PMID: 39164738 PMCID: PMC11337899 DOI: 10.1186/s41043-024-00599-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 07/18/2024] [Indexed: 08/22/2024]
Abstract
BACKGROUND Non-communicable diseases (NCDs) pose a significant global health challenge, constituting over 80% of mortality and morbidity. This burden is particularly pronounced in low- and middle-income countries (LMICs), including Ethiopia. Despite this, there's limited research on this issue in Africa. This study aims to investigate the prevalence, patterns, and outcomes of NCDs in hospitalized populations across three tertiary hospitals in Ethiopia. METHODS A hospital-based cohort study (August 2022 - January 2023) included patients aged 14 and older diagnosed with cardiovascular diseases (CVDs), diabetes mellitus (DM), chronic obstructive pulmonary disease (COPD), asthma, or cancer at three Ethiopian hospitals. Data on demographics, socio-economic factors, clinical characteristics, and outcomes were collected through medical records and interviews. Logistic regression identified factors independently associated with in-hospital mortality, with p ≤ 0.05 considered statistically significant. RESULTS In the study across three tertiary hospitals involving 2,237 patients, we uncovered the impact of NCDs. About 23.4% of patients struggled with NCDs, with cardiovascular diseases (53.3%), cancer (29.6%), diabetes (6.1%), and respiratory diseases (6.5%) being the most prevalent. Notably, among those affected, women comprised a slight majority (55.1%), with the average patient age being 47.2 years. Unfortunately, 15.3% of patients with NCDs faced in-hospital mortality. Our analysis revealed predictors of mortality, including cancer diagnosis (adjusted odds ratio [AOR]:1.6, 95% CI: 1.2-1.8, p = 0.01), medication adherence ( AOR: 0.36, 95% CI: 0.21-0.64, p < 0.001), concurrent infections (AOR: 0.36, 95% CI: 0.16-0.86, p < 0.001), chronic kidney diseases (CKD) (AOR: 0.35, 95% CI: 0.14-0.85, p = 0.02), and complications during hospitalization (AOR: 6.36, 95% CI: 3.45-11.71, p < 0.001). CONCLUSION Our study reveals a substantial prevalence of NCDs among hospitalized patients, affecting approximately one in four individuals, primarily with CVDs and cancer. Alarmingly, a significant proportion of these patients did not survive their hospitalization, emphasizing the urgent need for targeted interventions to enhance outcomes in this population.
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Affiliation(s)
- Alemu Belayneh
- Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, Colleges of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Legese Chelkeba
- Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, Colleges of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Georgia, Atlanta, USA.
| | - Firehiwot Amare
- Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, Colleges of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Henok Fisseha
- Department of Internal Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Senbeta Guteta Abdissa
- Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Mirgissa Kaba
- Department of Community Health, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Shivani A Patel
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Georgia, Atlanta, USA
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Georgia, Atlanta, USA
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Bukhman G, Mocumbi AO, Atun R, Becker AE, Bhutta Z, Binagwaho A, Clinton C, Coates MM, Dain K, Ezzati M, Gottlieb G, Gupta I, Gupta N, Hyder AA, Jain Y, Kruk ME, Makani J, Marx A, Miranda JJ, Norheim OF, Nugent R, Roy N, Stefan C, Wallis L, Mayosi B. The Lancet NCDI Poverty Commission: bridging a gap in universal health coverage for the poorest billion. Lancet 2020; 396:991-1044. [PMID: 32941823 PMCID: PMC7489932 DOI: 10.1016/s0140-6736(20)31907-3] [Citation(s) in RCA: 155] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 05/29/2020] [Accepted: 08/25/2020] [Indexed: 12/14/2022]
Affiliation(s)
- Gene Bukhman
- Department of Global Health and Social Medicine, Harvard University, Boston, MA, USA; Program in Global NCDs and Social Change, Harvard University, Boston, MA, USA; Partners In Health, Boston, MA, USA; Division of Global Health Equity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| | - Ana O Mocumbi
- Universidade Eduardo Mondlane, Maputo, Mozambique; Instituto Nacional de Saúde, Maputo, Mozambique
| | - Rifat Atun
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Anne E Becker
- Department of Global Health and Social Medicine, Harvard University, Boston, MA, USA
| | - Zulfiqar Bhutta
- Center for Global Child Health, Hospital for Sick Kids, Toronto, ON, Canada; Centre of Excellence in Women and Child Health, Aga Khan University, Karachi, Pakistan; Institute for Global Health & Development, Aga Khan University, South-Central Asia, East Africa, and UK
| | | | - Chelsea Clinton
- Clinton Foundation, New York, NY, USA; Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Matthew M Coates
- Department of Global Health and Social Medicine, Harvard University, Boston, MA, USA; Program in Global NCDs and Social Change, Harvard University, Boston, MA, USA; Division of Global Health Equity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Majid Ezzati
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Gary Gottlieb
- Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA
| | - Indrani Gupta
- Health Policy Research Unit, Institute of Economic Growth, Delhi, India
| | - Neil Gupta
- Department of Global Health and Social Medicine, Harvard University, Boston, MA, USA; Program in Global NCDs and Social Change, Harvard University, Boston, MA, USA; Partners In Health, Boston, MA, USA; Division of Global Health Equity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Adnan A Hyder
- Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - Yogesh Jain
- Jan Swasthya Sahyog, Bilaspur, Chhattisgarh, India
| | - Margaret E Kruk
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Julie Makani
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Andrew Marx
- Department of Global Health and Social Medicine, Harvard University, Boston, MA, USA; Program in Global NCDs and Social Change, Harvard University, Boston, MA, USA
| | - J Jaime Miranda
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Ole F Norheim
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Rachel Nugent
- Research Triangle Institute International, Seattle, WA, USA
| | - Nobhojit Roy
- WHO Collaborating Centre for Research on Surgical Care Delivery in LMICs, Department of Surgery, BARC Hospital, HBNI University, Government of India, Mumbai, India; Field Health Systems Laboratory, Bihar Technical Support Programme, CARE India, Madhubani, Bihar, India
| | - Cristina Stefan
- SingHealth Duke-NUS Global Health Institute (SDGHI), Duke-NUS Medical School, Singapore; African Medical Research and Innovation Institute, Cape Town, South Africa
| | - Lee Wallis
- Division of Emergency Medicine, University of Cape Town, Cape Town, South Africa
| | - Bongani Mayosi
- Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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Rezaei-Hachesu P, Oliyaee A, Safaie N, Ferdousi R. Comparison of coronary artery disease guidelines with extracted knowledge from data mining. J Cardiovasc Thorac Res 2017; 9:95-101. [PMID: 28740629 PMCID: PMC5516058 DOI: 10.15171/jcvtr.2017.16] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Accepted: 03/19/2017] [Indexed: 11/09/2022] Open
Abstract
Introduction: Coronary artery disease (CAD) is one of the major causes of disability and death in the world. Accordingly utilizing from a national and update guideline in heart-related disease are essential. Finding interesting rules from CAD data and comparison with guidelines was the objectives of this study. Methods: In this study 1993 valid and completed records related to patients (from 2009 to 2014) who had suffered from CAD were recruited and analyzed. Total of 25 variable including a target variable (CAD) and 24 inputs or predictor variables were used for knowledge discovery. To perform comparison between extracted knowledge and well trusted guidelines, Canadian Cardiovascular Society (CCS) guideline and US National Institute of Health (NIH) guideline were selected. Results of valid datamining rules were compared with guidelines and then were ranked based on their importance. Results: The most significant factor influencing CAD was chest pain. Elderly males (age >54) have a high probability to be diagnosed with CAD. Diagnostic methods that are listed in guidelines were confirmed and ranked based on analyzing of local CAD patients data. Knowledge discovery revealed that blood test has more diagnostic value among other medical tests that were recommended in guidelines. Conclusion: Guidelines confirm the achieved results from data mining (DM) techniques and help to rank important risk factors based on national and local information. Evaluation of extracted rules determined new patterns for CAD patients.
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Affiliation(s)
- Peyman Rezaei-Hachesu
- Health Information Technology Department, School of Management and Medical Informatics, Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Azadeh Oliyaee
- Industrial Engineering Faculty, Sharif University Technology, Tehran, Iran
| | - Naser Safaie
- Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Reza Ferdousi
- Health Information Technology Department, School of Management and Medical Informatics, Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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