16 research outputs found

    Prevalence and associated factors of pneumonia among under-fives with acute respiratory symptoms: a cross sectional study at a Teaching Hospital in Bushenyi District, Western Uganda

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    Objectives: This study assessed the prevalence and associated factors of pneumonia among children under-five years presenting with acute respiratory symptoms. Methodology: This was a cross sectional study at the Pediatric Department of Kampala International University – Teaching Hospital, from the month of April to August 2019. The study included 336 children aged 2 to 59 months presenting with acute respiratory symptoms to the pediatric clinic. Pneumonia diagnosis was made according to the World Health Organization definition, modified by a chest radiograph. Structured questionnaires were used to collect data on socio-demographic, environmental and nutrition factors and multivariate logistic regression analysis using STATA version 13.0 was done to assess for the factors independently associated with pneumonia. Results: Of the 336 children with acute respiratory symptoms, eighty-six, 86 (25.6%) had pneumonia. Factors significantly associated with pneumonia included: age below 6 months (OR=3.2, 95%CI=1.17-8.51, p=0.023), rural residence (OR=5.7, 95%CI=2.97-11.05, p <0.001), not up-to-date for age immunization status (OR=2.9, 95%CI=1.05-7.98, p=0.039), severe acute malnutrition (OR=10.8, 95%CI=2.01-58.41, p=0.006), lack of exclusive breastfeeding during the first six months (OR=2.9, 95%CI=1.53-5.53, p=0.001) and exposure to cigarette smoke (OR=3.0, 95%CI=1.35-6.80, p=0.007). Conclusion: The prevalence of pneumonia in children under-five years was high. Most of the factors associated with pneumonia are modifiable; addressing these factors could reduce this prevalence. Keywords: Pneumonia; prevalence; under-fives

    Clinical features and survival among children with retinoblastoma in Uganda

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    AIMS: To characterise the clinical features, treatment and outcome of children diagnosed with retinoblastoma in Uganda. METHODS: The study comprised a 6-year nationwide enrolment with follow-up. RESULTS: In total, 282 cases were enrolled, 26% (72) were bilateral; 6% were lost to follow-up. Almost all diagnoses in the first affected eye were International Classification of Retinoblastoma group E or worse. Histology was available for 92%; of those, 45%, had extraocular tumour at diagnosis. Enucleation of the first eye was done for 271; 94 received radiotherapy to the socket and in the last 2 years, 70 children received chemotherapy. At close of study, 139 children had died. Survival, as determined in a proportional hazards model adjusted for age, sex, laterality and treatment era (pre or post introduction of chemotherapy), varied by extent of the tumour (p<0.001); children with only intraocular involvement were 80% less likely to die (HR=0.21, 95% CI 0.12 to 0.35) compared with children with extraocular involvement. CONCLUSIONS: Diagnostic delay results in relatively high mortality among children with retinoblastoma in Uganda. There is an urgent need for more effective treatment modalities, particularly chemotherapy, and nationwide efforts to encourage earlier access to medical care

    Clinical features and survival among children with retinoblastoma in Uganda

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    AIMS: To characterise the clinical features, treatment and outcome of children diagnosed with retinoblastoma in Uganda. METHODS: The study comprised a 6-year nationwide enrolment with follow-up. RESULTS: In total, 282 cases were enrolled, 26% (72) were bilateral; 6% were lost to follow-up. Almost all diagnoses in the first affected eye were International Classification of Retinoblastoma group E or worse. Histology was available for 92%; of those, 45%, had extraocular tumour at diagnosis. Enucleation of the first eye was done for 271; 94 received radiotherapy to the socket and in the last 2 years, 70 children received chemotherapy. At close of study, 139 children had died. Survival, as determined in a proportional hazards model adjusted for age, sex, laterality and treatment era (pre or post introduction of chemotherapy), varied by extent of the tumour (p<0.001); children with only intraocular involvement were 80% less likely to die (HR=0.21, 95% CI 0.12 to 0.35) compared with children with extraocular involvement. CONCLUSIONS: Diagnostic delay results in relatively high mortality among children with retinoblastoma in Uganda. There is an urgent need for more effective treatment modalities, particularly chemotherapy, and nationwide efforts to encourage earlier access to medical care

    Improving survival of retinoblastoma in Uganda

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    BACKGROUND: Diagnostic delay results in relatively high mortality among children with retinoblastoma in Uganda, where treatment was limited to surgery and, for some, radiotherapy. In order to improve outcomes, a simple programme of neoadjuvant and adjuvant chemotherapy was introduced. Here we report survival before and after this change to medical practice. METHODS: Affordable standard off-patent chemotherapy agents were administered by trained paramedical staff to groups of patients at the same time. Survival before and after the introduction of chemotherapy was monitored. Between 2006 and 2013 a total of 270 patients with retinoblastoma were included, 181 treated prior to chemotherapy and 89 after (beginning in 2009). We had 94% follow-up and 249 had histological verification of diagnosis. RESULTS: Using a proportional hazards model adjusted for age, sex and laterality, children treated after chemotherapy was introduced had a 37% lower risk of dying (HR 0.63, 95% CI 0.41 to 0.99) compared with children treated before. Prior to the introduction of chemotherapy only 15% of children who survived bilateral disease retained vision after treatment compared with 71% after chemotherapy. CONCLUSIONS: The introduction of chemotherapy proved safe and cost-effective in non-specialist hands and was associated with significant improvements in survival and, among bilateral cases, in preserving vision

    Selecting candidate predictor variables for the modelling of post-discharge mortality from sepsis: a protocol development project

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    Background: Post-discharge mortality is a frequent but poorly recognized contributor to child mortality in resource limited countries. The identification of children at high risk for post-discharge mortality is a critically important first step in addressing this problem.Objectives: The objective of this project was to determine the variables most likely to be associated with post-discharge mortality which are to be included in a prediction modelling study.Methods: A two-round modified Delphi process was completed for the review of a priori selected variables and selection of new variables. Variables were evaluated on relevance according to (1) prediction (2) availability (3) cost and (4) time required for measurement. Participants included experts in a variety of relevant fields.Results: During the first round of the modified Delphi process, 23 experts evaluated 17 variables. Forty further variables were suggested and were reviewed during the second round by 12 experts. During the second round 16 additional variables were evaluated. Thirty unique variables were compiled for use in the prediction modelling study.Conclusion: A systematic approach was utilized to generate an optimal list of candidate predictor variables for the incorporation into a study on prediction of pediatric post-discharge mortality in a resource poor setting.Keywords: Candidate predictor variables, pediatrics, prediction, post-discharge mortality, sepsi

    Selecting candidate predictor variables for the modelling of post-discharge mortality from sepsis: a protocol development project.

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    Background: Post-discharge mortality is a frequent but poorly recognized contributor to child mortality in resource limited countries. The identification of children at high risk for post-discharge mortality is a critically important first step in addressing this problem. Objectives: The objective of this project was to determine the variables most likely to be associated with post-discharge mortality which are to be included in a prediction modelling study. Methods: A two-round modified Delphi process was completed for the review of a priori selected variables and selection of new variables. Variables were evaluated on relevance according to (1) prediction (2) availability (3) cost and (4) time required for measurement. Participants included experts in a variety of relevant fields. Results: During the first round of the modified Delphi process, 23 experts evaluated 17 variables. Forty further variables were suggested and were reviewed during the second round by 12 experts. During the second round 16 additional variables were evaluated. Thirty unique variables were compiled for use in the prediction modelling study. Conclusion: A systematic approach was utilized to generate an optimal list of candidate predictor variables for the incorporation into a study on prediction of pediatric post-discharge mortality in a resource poor setting

    Pediatric in-Hospital Death from Infectious Disease in Uganda: Derivation of Clinical Prediction Models.

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    BACKGROUND:Pediatric hospital mortality from infectious diseases in resource constrained countries remains unacceptably high. Improved methods of risk-stratification can assist in referral decision making and resource allocation. The purpose of this study was to create prediction models for in-hospital mortality among children admitted with suspected infectious diseases. METHODS:This two-site prospective observational study enrolled children between 6 months and 5 years admitted with a proven or suspected infection. Baseline clinical and laboratory variables were collected on enrolled children. The primary outcome was death during admission. Stepwise logistic regression minimizing Akaike's information criterion was used to identify the most promising multivariate models. The final model was chosen based on parsimony. RESULTS:1307 children were enrolled consecutively, and 65 (5%) of whom died during their admission. Malaria, pneumonia and gastroenteritis were diagnosed in 50%, 31% and 8% of children, respectively. The primary model included an abnormal Blantyre coma scale, HIV and weight-for-age z-score. This model had an area under the curve (AUC) of 0.85 (95% CI, 0.80-0.89) with a sensitivity and specificity of 83% and 76%, respectively. The positive and negative predictive values were 15% and 99%, respectively. Two alternate models with similar performance characteristics were developed withholding HIV and weight-for-age z-score, for use when these variables are not available. CONCLUSIONS:Risk stratification of children admitted with infectious diseases can be calculated based on several easily measured variables. Risk stratification at admission can be used for allocation of scarce human and physical resources and to guide referral among children admitted to lower level health facilities
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