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1.
BMC Pediatr ; 24(1): 42, 2024 Jan 13.
Article in English | MEDLINE | ID: mdl-38218839

ABSTRACT

BACKGROUND: Peak expiratory flow rate (PEFR) is an important tool for assessing lung function, which can be affected by environmental and physical factors such as altitude, nutrition, genetics, age, height, and weight. Conducting a study to assess the correlation between peak expiratory flow rate and anthropometric measurements in Tanzanian schoolchildren is crucial to derive a population-specific prediction formula and further simplify respiratory health assessment. METHODS: This cross-sectional study was conducted in a single center private primary and secondary school in Dar es Salaam, Tanzania using data from an asthma screening camp. Variables of interest were height, weight, Body Mass Index (BMI) and PEFR. Independent t-test was performed to identify any differences in mean flow rate values between different ethnicities and genders. Correlation coefficients (r) were used to observe the relationship between PEFR and anthropometric measurements. A prediction equation by gender was generated using linear regression analysis. Statistical significance was set at the 5% level. All statistical data was analyzed using SPSS version 25.0. RESULTS: The study involved 260 participants with a mean age of 9.5 years. Males were 51.2% and 65% of participants were of Asian ethnicity. PEFR was not observed to differ across the different ethnic groups and genders. Height was found to have the strongest correlation coefficient of 0.745, while BMI had the weakest correlation coefficient of 0.366. The strongest correlation was found with height for females (r = 0.787), while the weakest was with body mass index for boys (r = 0.203). The derived prediction equation for males was PEFR = 279.169 (Height of Student in meters) -134.12, while the predictive equation for females was PEFR = 318.32 (Height of Student in meters) -195.69. CONCLUSION: This study found a strong correlation between PEFR and anthropometric characteristics in school children from Dar es Salaam, Tanzania. A prediction equation by gender for PEFR was developed based on anthropometric characteristics. This equation may be applied in population-based studies or situations where peak flow meters are not readily available. Further research is needed to explore how well this prediction formula performs in other Tanzanian settings and to determine other factors that may affect lung function in this population.


Subject(s)
Peak Expiratory Flow Rate , Child , Humans , Male , Female , Tanzania , Cross-Sectional Studies , Anthropometry , Body Mass Index
2.
SAGE Open Med Case Rep ; 11: 2050313X231211711, 2023.
Article in English | MEDLINE | ID: mdl-38022855

ABSTRACT

Renal agenesis refers to the congenital absence or complete failure of development of one or both kidneys. It occurs when the kidneys fail to form during embryonic development. This case report describes the presentation of a 23-year-old male patient who experienced sporadic episodes of abdominal pain on the right side and occasional episodes of hematuria. Diagnostic investigations, including ultrasonography and magnetic resonance imaging scans, confirmed the diagnosis of right renal agenesis. The management of the patient in this case report involved close monitoring of renal function and regular follow-up visits. Initially, the patient was followed for a period of 3 months and based on the patient's clinical status and any associated risk factors, it was determined that a follow-up schedule of visits every 6 months is appropriate. This interval allows for ongoing assessment of renal function and facilitates early detection of any potential complications or changes in kidney health. This case highlights the importance of early diagnosis, comprehensive management, and long-term monitoring in individuals with renal agenesis.

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