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dc.contributor.authorAsiimwe, Stephen B.
dc.contributor.authorOkello, Samson
dc.contributor.authorMoore, Christopher C.
dc.date.accessioned2022-02-02T13:56:37Z
dc.date.available2022-02-02T13:56:37Z
dc.date.issued2014
dc.identifier.citationAsiimwe, S. B., Okello, S., & Moore, C. C. (2014). Frequency of vital signs monitoring and its association with mortality among adults with severe sepsis admitted to a general medical ward in Uganda. PLoS One, 9(2), e89879.en_US
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/1363
dc.description.abstractIntroduction: Optimal vital signs monitoring of patients with severe sepsis in resource-limited settings may improve outcomes. The objective of this study was to determine the frequency of vital signs monitoring of patients with severe sepsis and its association with mortality in a regional referral hospital in Uganda. Methods: We reviewed medical records of patients admitted to Mbarara Regional Referral Hospital in Southwestern Uganda with severe sepsis defined by the presence of infection plus $2 of the systemic inflammatory response syndrome criteria, and $1 organ dysfunction (altered mental state, hypotension, jaundice, or thrombocytopenia). We recorded frequency of vital signs monitoring in addition to socio-demographic, clinical, and outcome data. We analyzed the data using logistic regression. Results: We identified 202 patients with severe sepsis. The median age was 35 years (IQR, 25–47) and 98 (48%) were female. HIV infection and anemia was present in 115 (57%) and 83 (41%) patients respectively. There were 67 (33%) in-hospital deaths. The median monitoring frequency per day was 1.1 (IQR 0.9–1.5) for blood pressure, 1.0 (IQR, 0.8–1.3) for temperature and pulse, and 0.5 (IQR, 0.3–1.0) for respiratory rate. The frequency of vital signs monitoring decreased during the course of hospitalization. Patients who died had a higher frequency of vital signs monitoring (p,0.05). The admission respiratory rate was associated with both frequency of monitoring (coefficient of linear regression 0.6, 95% CI 0.5–0.8, p,0.001) and mortality (AOR 2.5, 95% CI 1.3–5.3, p = 0.01). Other predictors of mortality included severity of illness, HIV infection, and anemia (p,0.05). Conclusions: More research is needed to determine the optimal frequency of vital signs monitoring for severely septic patients in resource-limited settings such as Uganda.en_US
dc.description.sponsorshipPfizer Initiative in International Health and the Center for Global Health at the University of Virginiaen_US
dc.language.isoen_USen_US
dc.publisherPLoS Oneen_US
dc.titleFrequency of Vital Signs Monitoring and its Association with Mortality among Adults with Severe Sepsis Admitted to a General Medical Ward in Ugandaen_US
dc.typeArticleen_US


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