埃塞俄比亚西南部地区政府医院收治的儿科重症肺炎患者的康复时间及其预测因素:前瞻性随访研究

Yalemtsehay Dagnaw Genie , Alemayehu Sayih , Nigatu Dessalegn , Emebet Adugnaw , Aynalem Yetwale Hiwot , Tsegaw Biyazin Tesfa , Kassa Kindie , Lidiya Gutema , Ermias Ayalew , Belete Fenta Kebede
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引用次数: 0

摘要

背景埃塞俄比亚联邦卫生部一直致力于通过引入疫苗、整合新生儿和儿童疾病管理来预防肺炎、肺炎相关住院和死亡。尽管做出了这些努力,但肺炎的发病率和住院比例仍在上升。研究地区的儿科患者对重症肺炎的康复时间及其预测因素知之甚少。因此,本研究旨在确定在西南部地区政府医院住院的儿科患者从重症肺炎中康复的时间及其预测因素。研究采用系统抽样技术招募参与者。数据输入 Epi-data 4.4.2.1 并导出到 STATA 14 进行分析。分别使用 Shoenfield 残差和 Cox-Snell 评估了 Cox 比例危险模型的假设和拟合优度。双变量和多变量 Cox 回归模型用于确定康复时间的预测因素。在多变量 Cox 回归模型分析中,如果在 95% 的置信水平下 p 值为 <0.05,则该变量被认为是对康复时间有统计学意义的预测因素。康复时间的中位数为 5 天。农村居民[AHR=0.82; 95 % CI 0.69-0.97]、低氧血症[AHR=1.25; 95 % CI 1.01-1.55]、危险征兆[AHR=1.77; 95 % CI 1.28-2.45]、合并症[AHR=0.60; 95 % CI 0.50-0.7]和既往呼吸道感染史[AHR=0.76; 95 % CI 0.64- 0.90]被认为是显著的预测因素。结论 在本研究中,儿童重症肺炎患者的康复率较低,康复时间略有延长,中位康复时间为 5 天。农村居民、低氧血症、危险体征、合并症和既往呼吸道感染史是预测儿童患者康复时间的独立因素。因此,埃塞俄比亚联邦卫生部、家庭、社区领袖、医疗服务提供者和其他利益相关者应为重症肺炎儿科患者提供及时的早期诊断、适当的治疗干预和适当的随访,以降低死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time to recovery from severe pneumonia and its predictors among pediatric patients admitted in South West Region governmental hospitals, South West Ethiopia: Prospective follow-up study

Background

The Ethiopian Federal Ministry of Health has been working by introducing vaccines, and integrating the management of newborn and child illnesses to prevent pneumonia, pneumonia-related hospitalization, and mortality. Despite these attempts, the prevalence of pneumonia and the proportion of hospitalizations have increased. Little is known about recovery time from severe pneumonia and its predictors in pediatric patients in the study area. Therefore, this study aimed to determine the time to recovery from severe pneumonia and its predictors in pediatric patients admitted to government hospitals in the southwest Region.

Methods and Materials

A hospital-based prospective follow-up study was conducted among 791 pediatric patients admitted with severe pneumonia at a governmental hospital in the South West Region, of Ethiopia. A systematic sampling technique was used to recruit participants. Data were entered into Epi-data 4.4.2.1 and exported to STATA 14 for analysis. The assumptions of Cox proportional hazard models and goodness of fit were assessed using the Shoenfield residual and Cox-Snell, respectively. Bivariate and multivariable Cox regression models were used to identify the predictors of time to recovery. Variables with a p-value of <0.05 at a 95 % confidence level in multivariable Cox regression model analysis were declared statistically significant predictors of time to recovery.

Results

This study revealed that 641 (81.04 %) participants recovered with an incidence rate of 12.48 per 100 person-day observations. The median time to recovery was 5 days. Rural residence [AHR=0.82; 95 % CI 0.69–0.97], hypoxemia [AHR=1.25; 95 % CI 1.01- 1.55], danger sign, [AHR=1.77; 95 % CI 1.28- 2.45], comorbidity [AHR=0.60; 95 % CI 0.50- 0.7] and history of previous respiratory infections [AHR=0.76; 95 % CI 0.64- 0.90] were found significant predictors of time to recovery from severe pneumonia.

Conclusion

In this study, the recovery rate from severe pneumonia among pediatric patients was low and the time to recovery was slightly prolonged with a median time to recovery of five days. Rural residence, hypoxemia, danger signs, comorbidity, and history of previous respiratory infections were independent predictors of time to recovery among pediatric patients. Therefore, the Ethiopian Federal Ministry of Health, family, community leaders, healthcare providers, and other stakeholders should provide timely initiation of advanced diagnosis, appropriate therapeutic interventions, and proper follow-up for pediatric patients with severe pneumonia to reduce mortality.

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Global pediatrics
Global pediatrics Perinatology, Pediatrics and Child Health
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