Malnutrition among the aged population in Africa: A systematic review, meta-analysis, and meta-regression of studies over the past 20 years

Nutritional status of hospitalized elderly patients in Ethiopia: a cross-sectional study of an important yet neglected problem in clinical practice

Background

Malnutrition is a common geriatric syndrome affecting approximately half of the older population with a more pronounced occurrence rate in those hospitalized. It affects the physiology, and results in poor humanistic and clinical outcomes. In Africa, particularly in Ethiopia, albeit multiple studies are available on malnutrition in non-hospitalized older population, similar studies in inpatient settings are scarce. Therefore, this study was conducted with the intention to quantify the prevalence of malnutrition in older patients on inpatient admission and determine its associated factors.

Methods

A total of 157 older inpatients aged 60 years and above were included in the present study. The data collection format was developed after an in-depth review of relevant literatures. The full Mini-Nutritional Assessment (MNA) tool was employed to assess the nutritional status on admission. Data completeness was checked thoroughly. Descriptive statistics and logistic regression analysis were conducted using STATA 15.0. The area under the receiver operating characteristic curve (ROC), Hosmer-Lemeshow test, and classification table were computed to evaluate the final model goodness-of-fit.

Results

Of the total study subjects, 81% were malnourished (MNA score <17) and 17% were at risk for malnutrition (MNA score of 17.5-23.5). However, upon review of the patients' medical charts, malnutrition diagnosis was recorded in only two patients. Rural residence (AOR = 2.823, 95%CI: 1.088, 7.324), self-reported financial dependence for expenses (AOR = 4.733, 95%CI: 1.011, 22.162), and partial dependence in functional autonomy on admission (AOR = 3.689, 95%CI: 1.190, 11.433) significantly increased the risk of malnutrition. The area under the ROC curve (0.754) and the Hosmer-Lemeshow test (p = 0.7564) indicated that the final model reasonably fits the data. The model`s sensitivity is 96.85%.

Conclusion

In the present study, an alarmingly high prevalence of malnutrition was identified older inpatients. The problem went undiagnosed in a similar percentage of patients. Several available literatures indicate the presence of an association between nutritional status and patient outcomes, thus strict nutritional screening at inpatient admission and intervention are recommended with special emphasis for those from rural areas, with financial dependence, and with functional impairment on admission.

Epidemiology, clinical profiles, and prognostic value of COVID-19-related cutaneous manifestations in African populations: a rapid narrative review

BACKGROUND

Skin manifestations' true prognostic value, and clinical and epidemiological pictures in SARS-CoV-2 infection in African populations are poorly described and understudied. More familiarity with COVID-19 cutaneous manifestations may aid in early clinical diagnosis or guide prognosis.

METHODS

In this literature review, we looked for potential studies published from December 2019 to March 2023 on COVID-19 cutaneous lesions in African populations. Our key questions were focused on the prognostic values of cutaneous manifestations related to COVID-19.

RESULTS

Our findings show that cutaneous manifestations of COVID-19 vary by country and severity of COVID-19, primarily multisystem inflammatory syndrome (MIS). Significant differences were also found between various dermatological lesions, primarily MIS, erythema multiforme-like, livedoid, vesicular, or varicella-like rashes, urticarial, maculopapular or morbilliform rashes, and chilblain-like or pernio-like rashes. There were 47.5% (115/242) of MIS cases reported in nine published African studies. Our findings also revealed that MIS may be diagnosed in 2-7 days due to early onset rash. Advanced age, obesity, diabetes, cardiovascular disease, HIV, tuberculosis, asthma, atopic disease, underweight, malnutrition, and malignancy were found to be associated with COVID-19 cutaneous manifestations in African populations.

CONCLUSIONS

COVID-19-related skin manifestations in African populations are important as a driving force in COVID-19 prognosis.