{"title":"重症监护病房的床位占用和医院感染:一项三级医院的回顾性观察研究。","authors":"T Wilson, D Nolte, S Omar","doi":"10.7196/SAJCC.2024.v40i2.1906","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Healthcare-associated infections (HAI) are a major problem globally, contributing to prolonged hospital admissions and poor outcomes.</p><p><strong>Objectives: </strong>To examine HAI incidence and risk factors in an intensive care unit (ICU) during high v. low occupancy periods.</p><p><strong>Methods: </strong>This retrospective, descriptive analysis investigated HAI incidence among adult patients admitted to the ICU at Chris Hani Baragwanath (CHBH) during a high (H2019) and low (L2020) occupancy. Data were extracted from the clinical records of 440 eligible patients.</p><p><strong>Results: </strong>We found an increased risk of HAI during H2019 compared with L2020 (relative risk (RR) 1.42, 95% confidence interval (CI) 1.03 - 1.94). The overall frequency density of HAI was 25/1 000 ICU days. There was no difference in the distribution of the site of infection (blood v. other) (p=0.27) or bacterial category (Gram stain) (p=0.62). Five organisms accounted for 89% of pathogens: Klebsiella (26%), Staphylococcus (21%), Acinetobacter (16%), Candida (16%) and Enterobacter (10%). The incidence of multidrug-resistant/extensively drug-resistant (MDR/XDR) organisms was 4.2-fold higher (95% CI 1.3 - 13.4) during H2019 compared with L2020. Logistic regression analysis revealed two independent predictors of nosocomial infection: ICU length of stay (odds ratio (OR) 1.12, 95% CI 1.02 - 1.22) and intercostal drain duration in days (OR 1.27, 95% CI 1.09 - 1.47).</p><p><strong>Conclusion: </strong>High occupancy in the ICU was associated with an increased risk of HAI and a greater incidence of MDR and XDR pathogens. Increasing ICU length of stay and invasive device duration were independent predictors of HAI.</p><p><strong>Contribution of the study: </strong>Hospital-acquired infections are a common problem and cause of morbidity and mortality in intensive care units and general wards globally. However, there is very little literature on the topic from low- and middle-income countries. This study aims to provide insite into the unique factors that contribute to these infections in the South African context.</p>","PeriodicalId":75194,"journal":{"name":"The Southern African journal of critical care : the official journal of the Critical Care Society","volume":"40 2","pages":"e1906"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669152/pdf/","citationCount":"0","resultStr":"{\"title\":\"Bed occupancy and nosocomial infections in the intensive care unit: A retrospective observational study in a tertiary hospital.\",\"authors\":\"T Wilson, D Nolte, S Omar\",\"doi\":\"10.7196/SAJCC.2024.v40i2.1906\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Healthcare-associated infections (HAI) are a major problem globally, contributing to prolonged hospital admissions and poor outcomes.</p><p><strong>Objectives: </strong>To examine HAI incidence and risk factors in an intensive care unit (ICU) during high v. low occupancy periods.</p><p><strong>Methods: </strong>This retrospective, descriptive analysis investigated HAI incidence among adult patients admitted to the ICU at Chris Hani Baragwanath (CHBH) during a high (H2019) and low (L2020) occupancy. Data were extracted from the clinical records of 440 eligible patients.</p><p><strong>Results: </strong>We found an increased risk of HAI during H2019 compared with L2020 (relative risk (RR) 1.42, 95% confidence interval (CI) 1.03 - 1.94). The overall frequency density of HAI was 25/1 000 ICU days. There was no difference in the distribution of the site of infection (blood v. other) (p=0.27) or bacterial category (Gram stain) (p=0.62). Five organisms accounted for 89% of pathogens: Klebsiella (26%), Staphylococcus (21%), Acinetobacter (16%), Candida (16%) and Enterobacter (10%). The incidence of multidrug-resistant/extensively drug-resistant (MDR/XDR) organisms was 4.2-fold higher (95% CI 1.3 - 13.4) during H2019 compared with L2020. Logistic regression analysis revealed two independent predictors of nosocomial infection: ICU length of stay (odds ratio (OR) 1.12, 95% CI 1.02 - 1.22) and intercostal drain duration in days (OR 1.27, 95% CI 1.09 - 1.47).</p><p><strong>Conclusion: </strong>High occupancy in the ICU was associated with an increased risk of HAI and a greater incidence of MDR and XDR pathogens. Increasing ICU length of stay and invasive device duration were independent predictors of HAI.</p><p><strong>Contribution of the study: </strong>Hospital-acquired infections are a common problem and cause of morbidity and mortality in intensive care units and general wards globally. However, there is very little literature on the topic from low- and middle-income countries. 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引用次数: 0
摘要
背景:医疗保健相关感染(HAI)是全球的一个主要问题,导致住院时间延长和预后不良。目的:探讨重症监护病房(ICU)高、低入住率期间HAI发生率及危险因素。方法:本回顾性描述性分析调查了Chris Hani Baragwanath (CHBH) ICU在高(H2019)和低(L2020)入住率期间入住的成年患者的HAI发病率。数据从440例符合条件的患者的临床记录中提取。结果:与L2020相比,我们发现H2019期间HAI的风险增加(相对风险(RR) 1.42, 95%置信区间(CI) 1.03 - 1.94)。HAI的总频率密度为25/1 000 ICU d。感染部位(血液vs .其他)的分布(p=0.27)和细菌种类(革兰氏染色)的分布(p=0.62)无差异。5种微生物占89%的病原体:克雷伯氏菌(26%)、葡萄球菌(21%)、不动杆菌(16%)、念珠菌(16%)和肠杆菌(10%)。与L2020相比,2019年H2019期间多药耐药/广泛耐药(MDR/XDR)微生物的发病率高出4.2倍(95% CI 1.3 - 13.4)。Logistic回归分析显示医院感染的两个独立预测因素:ICU住院时间(优势比(OR) 1.12, 95% CI 1.02 - 1.22)和肋间引流时间(OR 1.27, 95% CI 1.09 - 1.47)。结论:ICU的高占用率与HAI的风险增加以及MDR和XDR病原体的发生率增加有关。ICU住院时间延长和有创器械使用时间延长是HAI的独立预测因素。研究贡献:医院获得性感染是全球重症监护病房和普通病房发病率和死亡率的常见问题和原因。然而,低收入和中等收入国家关于这一主题的文献很少。这项研究的目的是提供深入到独特的因素,有助于这些感染在南非的背景下。
Bed occupancy and nosocomial infections in the intensive care unit: A retrospective observational study in a tertiary hospital.
Background: Healthcare-associated infections (HAI) are a major problem globally, contributing to prolonged hospital admissions and poor outcomes.
Objectives: To examine HAI incidence and risk factors in an intensive care unit (ICU) during high v. low occupancy periods.
Methods: This retrospective, descriptive analysis investigated HAI incidence among adult patients admitted to the ICU at Chris Hani Baragwanath (CHBH) during a high (H2019) and low (L2020) occupancy. Data were extracted from the clinical records of 440 eligible patients.
Results: We found an increased risk of HAI during H2019 compared with L2020 (relative risk (RR) 1.42, 95% confidence interval (CI) 1.03 - 1.94). The overall frequency density of HAI was 25/1 000 ICU days. There was no difference in the distribution of the site of infection (blood v. other) (p=0.27) or bacterial category (Gram stain) (p=0.62). Five organisms accounted for 89% of pathogens: Klebsiella (26%), Staphylococcus (21%), Acinetobacter (16%), Candida (16%) and Enterobacter (10%). The incidence of multidrug-resistant/extensively drug-resistant (MDR/XDR) organisms was 4.2-fold higher (95% CI 1.3 - 13.4) during H2019 compared with L2020. Logistic regression analysis revealed two independent predictors of nosocomial infection: ICU length of stay (odds ratio (OR) 1.12, 95% CI 1.02 - 1.22) and intercostal drain duration in days (OR 1.27, 95% CI 1.09 - 1.47).
Conclusion: High occupancy in the ICU was associated with an increased risk of HAI and a greater incidence of MDR and XDR pathogens. Increasing ICU length of stay and invasive device duration were independent predictors of HAI.
Contribution of the study: Hospital-acquired infections are a common problem and cause of morbidity and mortality in intensive care units and general wards globally. However, there is very little literature on the topic from low- and middle-income countries. This study aims to provide insite into the unique factors that contribute to these infections in the South African context.