Determinants of Affecting Factors Mortality of in The Elderly Covid-19 Patients | Sudarmi | Jurnal Kesehatan Prima

Determinants of Affecting Factors Mortality of in The Elderly Covid-19 Patients

Sudarmi Sudarmi(1*), Rohani Rohani(2), Irianto Irianto(3), Ni Putu Dian Ayu Anggraeni(4)
(1) Poltekkes Kemenkes Mataram
(2) Dinas Kesehatan Nusa Tenggara Barat
(3) Poltekkes Kemenkes Mataram
(4) Poltekkes Kemenkes Mataram
(*) Corresponding Author
DOI : 10.32807/jkp.v16i1.812

Abstract

The elderly groups to be infected with COVID-19 with a relatively high mortality rate, so they need attention. This study aims to determine the determinants of factors that affect the mortality of COVID-19 patients in the elderly in West Nusa Tenggara Province. The design of this study was cross-sectional with a purposive sampling technique, namely all elderly patients diagnosed with COVID-19 with PCR swab (+) who were treated in hospitals throughout NTB Province during the period March to December 2020. the total sample is 569 people. The variables of this study were age, gender, cluster, treatment status and, history of comorbidities. Data were analyzed using bivariate analysis using Chi-Square and multivariate with Logistic Regression. The results of the study were that most of the elderly COVID-19 patients were in the early 60-70 years (81.7%), the sex was primarily male 339 people (59.6%), without cluster 484 people (85.5%), history of comorbidities with comorbid 470 people (82.6%) and recovered after treatment 454 people (79.8%). COVID-19 patients in the elderly mainly died aged 60-70 years 85 people (73.9%), male sex, namely 71 people (61.7%), without cluster 107 people (94.7%), and 62% died without comorbidities as many as 72 people due to COVID-19. There is a significant relationship between clusters and comorbidities on the death of the elderly infected with COVID-19. Comorbidities (with comorbidities) are the most dominant influencing mortality in the elderly by 60.9% based on logistic regression model analysis involving four variables affecting the mortality of COVID-19 in the elderly,  and other factors influence the rest.

Keywords


Determinants of Mortality;COVID-19;Elderly

References


Banerjee, D. (2020) ‘The impact of Covid‐19 pandemic on elderly mental health’, International journal of geriatric psychiatry.

Fischer, F. et al. (2020) ‘COVID-19 and the elderly: who cares?’, Frontiers in public health, 8, p. 151.

Grolli, R. E. et al. (2021) ‘Impact of COVID-19 in the mental health in elderly: psychological and biological updates’, Molecular Neurobiology, 58(5), pp. 1905–1916.

Hakim, L. N. (2020) ‘Perlindungan Lanjut Usia Pada Masa Pandemik Covid-19’, Info Singkat, XII (10/II/Puslit/Mei/2020).

Huang, I., Lim, M. A. and Pranata, R. (2020) ‘Diabetes mellitus is associated with increased mortality and severity of disease in COVID-19 pneumonia–a systematic review, meta-analysis, and meta-regression’, Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), pp. 395–403.

Kashyap, S. et al. (2021) ‘Uncurtaining the effect of COVID-19 in diabetes mellitus: a complex clinical management approach’, Environmental Science and Pollution Research, pp. 1–8.

Kementerian Kesehatan RI Direktorat Jenderal Pencegahan dan Pengendalian Penyakit (P2P) (2020) Pedoman Pencegahan dan Pengendalian Coronavirus Disease (COVID-19) Revisi ke-4. Jakarta. Available at: http://infeksiemerging.kemkes.go.id.

Liu, K. et al. (2020) ‘Clinical features of COVID-19 in elderly patients: A comparison with young and middle-aged patients’, Journal of Infection, 80(6), pp. e14–e18.

Moraga, P. et al. (2020) ‘Assessing the age-and gender-dependence of the severity and case fatality rates of COVID-19 disease in Spain’, Wellcome Open Research, 5.

Morales-Franco, B. et al. (2021) ‘Host-Pathogen Molecular Factors Contribute to the Pathogenesis of Rhizopus spp. in Diabetes Mellitus’, Current tropical medicine reports, pp. 1–12.

Newall, A. T. et al. (2020) ‘Delay-adjusted age-and sex-specific case fatality rates for COVID-19 in South Korea: Evolution in the estimated risk of mortality throughout the epidemic’, International Journal of Infectious Diseases, 101, pp. 306–311.

Niu, S. et al. (2020) ‘Clinical characteristics of older patients infected with COVID-19: A descriptive study’, Archives of gerontology and geriatrics, 89, p. 104058.

Perrotta, F. et al. (2020) ‘COVID-19 and the elderly: insights into pathogenesis and clinical decision-making’, Aging clinical and experimental research, pp. 1–10.

Rahmah, D. D. (2021) ‘COVID-19 pada Lanjut Usia: Tinjauan Literatur’, Wellness And Healthy Magazine, 3(1), pp. 37–41.

Salama, C. et al. (2021) ‘Tocilizumab in patients hospitalized with Covid-19 pneumonia’, New England Journal of Medicine, 384(1), pp. 20–30.

Satria, R. M. A., Tutupoho, R. V. and Chalidyanto, D. (2020) ‘Analisis Faktor Risiko Kematian dengan Penyakit Komorbid Covid-19’, Jurnal Keperawatan Silampari, 4(1), pp. 48–55.

Shim, E. (2021) ‘Delay-Adjusted Age-Specific COVID-19 Case Fatality Rates in a High Testing Setting: South Korea, February 2020 to February 2021’, International Journal of Environmental Research and Public Health . doi: 10.3390/ijerph18105053.

TURSINA, A. (2020) ‘COVID-19 dan lansia’, in. Pusat Penerbitan Unisba (P2U) LPPM UNISBA.

Undurraga Fourcade, E. A., Chowell, G. and Mizumoto, K. (2021) ‘COVID-19 case fatality risk by age and gender in a high testing setting in Latin America: Chile, March–August 2020’.

Zeng, Y. et al. (2014) ‘Use of complementary and alternative medicine across the childbirth spectrum in China’, Complementary Therapies in Medicine, 22(6), pp. 1047–1052. doi: https://doi.org/10.1016/j.ctim.2014.10.009.


Article Statistic

Abstract view : 400 times
PDF views : 180 times

Dimensions Metrics

How To Cite This :

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Jurnal Kesehatan Prima

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.