Dr. Vivian Manyeki, Sr. Dr. Margaret Nyongesa, Dorcas Maina
{"title":"合并症对肯尼亚内罗毕县肯雅塔国立医院传染病科(KNH-IDU)Covid-19 患者住院时间的影响","authors":"Dr. Vivian Manyeki, Sr. Dr. Margaret Nyongesa, Dorcas Maina","doi":"10.47672/ajhmn.2199","DOIUrl":null,"url":null,"abstract":"Purpose: To determine the influence of comorbidities on the LOS of COVID-19 patients in KNH-IDU between 1st June 2020 and 30th November 2020 \nMaterials and Methods: This retrospective cohort study comprised of 558 COVID-19 patients of which 69% survived and 31% died. The overall median LOS was 7.5 days (IQR: 0-183) – 8 days (IQR: 1-171) for the survivors, and 6 days (IQR: 0-183) for the non survivors. Data was extracted from hospital records using a questionnaire and analyzed with STATA version 15. Chi-square tests determined associations, while regression analysis examined LOS determinants based on model coefficients and significance. \nFindings: Significant differences were seen in age (p<0.01), with more survivors aged 20-40 years and non-survivors aged over 40 years. Non-survivors had higher referral rates (p<.001), ICU admissions (p<.001), and intubation needs (p<.001). Diabetes and hypertension were more common in non-survivors (p<.001). Non-survivors also had higher WBC counts (p<.001), higher neutrophil counts (p<.01), lower lymphocyte counts (p<.001), and lower platelet counts (p<.001). \nImplications to Theory, Practices and Policy: Practically, the findings underscore the need for targeted clinical management strategies, particularly for younger patients and those with severe disease, to optimize LOS and improve survival rates.","PeriodicalId":7672,"journal":{"name":"American Journal of Health, Medicine and Nursing Practice","volume":"12 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence of Comorbidities on the Length of Stay of Covid-19 Patients in Kenyatta National Hospital – Infectious Disease Unit (KNH–IDU), Nairobi County, Kenya\",\"authors\":\"Dr. Vivian Manyeki, Sr. Dr. Margaret Nyongesa, Dorcas Maina\",\"doi\":\"10.47672/ajhmn.2199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: To determine the influence of comorbidities on the LOS of COVID-19 patients in KNH-IDU between 1st June 2020 and 30th November 2020 \\nMaterials and Methods: This retrospective cohort study comprised of 558 COVID-19 patients of which 69% survived and 31% died. The overall median LOS was 7.5 days (IQR: 0-183) – 8 days (IQR: 1-171) for the survivors, and 6 days (IQR: 0-183) for the non survivors. Data was extracted from hospital records using a questionnaire and analyzed with STATA version 15. Chi-square tests determined associations, while regression analysis examined LOS determinants based on model coefficients and significance. \\nFindings: Significant differences were seen in age (p<0.01), with more survivors aged 20-40 years and non-survivors aged over 40 years. Non-survivors had higher referral rates (p<.001), ICU admissions (p<.001), and intubation needs (p<.001). Diabetes and hypertension were more common in non-survivors (p<.001). Non-survivors also had higher WBC counts (p<.001), higher neutrophil counts (p<.01), lower lymphocyte counts (p<.001), and lower platelet counts (p<.001). \\nImplications to Theory, Practices and Policy: Practically, the findings underscore the need for targeted clinical management strategies, particularly for younger patients and those with severe disease, to optimize LOS and improve survival rates.\",\"PeriodicalId\":7672,\"journal\":{\"name\":\"American Journal of Health, Medicine and Nursing Practice\",\"volume\":\"12 12\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Health, Medicine and Nursing Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47672/ajhmn.2199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Health, Medicine and Nursing Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47672/ajhmn.2199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Influence of Comorbidities on the Length of Stay of Covid-19 Patients in Kenyatta National Hospital – Infectious Disease Unit (KNH–IDU), Nairobi County, Kenya
Purpose: To determine the influence of comorbidities on the LOS of COVID-19 patients in KNH-IDU between 1st June 2020 and 30th November 2020
Materials and Methods: This retrospective cohort study comprised of 558 COVID-19 patients of which 69% survived and 31% died. The overall median LOS was 7.5 days (IQR: 0-183) – 8 days (IQR: 1-171) for the survivors, and 6 days (IQR: 0-183) for the non survivors. Data was extracted from hospital records using a questionnaire and analyzed with STATA version 15. Chi-square tests determined associations, while regression analysis examined LOS determinants based on model coefficients and significance.
Findings: Significant differences were seen in age (p<0.01), with more survivors aged 20-40 years and non-survivors aged over 40 years. Non-survivors had higher referral rates (p<.001), ICU admissions (p<.001), and intubation needs (p<.001). Diabetes and hypertension were more common in non-survivors (p<.001). Non-survivors also had higher WBC counts (p<.001), higher neutrophil counts (p<.01), lower lymphocyte counts (p<.001), and lower platelet counts (p<.001).
Implications to Theory, Practices and Policy: Practically, the findings underscore the need for targeted clinical management strategies, particularly for younger patients and those with severe disease, to optimize LOS and improve survival rates.