scholarly journals Study of The Cardiac Function of Children Aged from 6 to 59 Months Suffering from Severe Acute Malnutrition in Yaounde Cameroon

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
David Chelo ◽  
Félicitée Nguefack ◽  
Anicet Ngate ◽  
Suzanne Ngo Um ◽  
Hubert Désiré Mbassi Awa ◽  
...  
2015 ◽  
Vol 101 (2) ◽  
pp. 166-171 ◽  
Author(s):  
Jonathan A Silverman ◽  
Yamikani Chimalizeni ◽  
Stephen E Hawes ◽  
Elizabeth R Wolf ◽  
Maneesh Batra ◽  
...  

ObjectiveCardiac dysfunction may contribute to high mortality in severely malnourished children. Our objective was to assess the effect of malnutrition on cardiac function in hospitalised African children.DesignProspective cross-sectional study.SettingPublic referral hospital in Blantyre, Malawi.PatientsWe enrolled 272 stable, hospitalised children ages 6–59 months, with and without WHO-defined severe acute malnutrition.Main outcome measuresCardiac index, heart rate, mean arterial pressure, stroke volume index and systemic vascular resistance index were measured by the ultrasound cardiac output monitor (USCOM, New South Wales, Australia). We used linear regression with generalised estimating equations controlling for age, sex and anaemia.ResultsOur primary outcome, cardiac index, was similar between those with and without severe malnutrition: difference=0.22 L/min/m2 (95% CI −0.08 to 0.51). No difference was found in heart rate or stroke volume index. However, mean arterial pressure and systemic vascular resistance index were lower in children with severe malnutrition: difference=−8.6 mm Hg (95% CI −12.7 to −4.6) and difference=−200 dyne s/cm5/m2 (95% CI −320 to −80), respectively.ConclusionsIn this largest study to date, we found no significant difference in cardiac function between hospitalised children with and without severe acute malnutrition. Further study is needed to determine if cardiac function is diminished in unstable malnourished children.


2020 ◽  
Vol 189 (12) ◽  
pp. 1623-1627
Author(s):  
Francisco M Barba ◽  
Lieven Huybregts ◽  
Jef L Leroy

Abstract Child acute malnutrition (AM) is an important cause of child mortality. Accurately estimating its burden requires cumulative incidence data from longitudinal studies, which are rarely available in low-income settings. In the absence of such data, the AM burden is approximated using prevalence estimates from cross-sectional surveys and the incidence correction factor $K$, obtained from the few available cohorts that measured AM. We estimated $K$ factors for severe acute malnutrition (SAM) and moderate acute malnutrition (MAM) from AM incidence and prevalence using representative cross-sectional baseline and longitudinal data from 2 cluster-randomized controlled trials (Innovative Approaches for the Prevention of Childhood Malnutrition—PROMIS) conducted between 2014 and 2017 in Burkina Faso and Mali. We compared K estimates using complete (weight-for-length z score, mid-upper arm circumference (MUAC), and edema) and partial (MUAC, edema) definitions of SAM and MAM. $K$ estimates for SAM were 9.4 and 5.7 in Burkina Faso and in Mali, respectively; K estimates for MAM were 4.7 in Burkina Faso and 5.1 in Mali. The MUAC and edema–based definition of AM did not lead to different $K$ estimates. Our results suggest that $K$ can be reliably estimated when only MUAC and edema-based data are available. Additional studies, however, are required to confirm this finding in different settings.


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