Table Info

Table 4.

Multiple logistics regression analysis for complicated SAM

Characteristics	B (β-coefficient)	SE	Odds ratio	95% CI for odds ratio		P value^**
Characteristics	B (β-coefficient)	SE	Odds ratio	Lower bound	Upper bound	P value^**
Intercept	–31.635	6.318				0.001^**
Age (month)	0.011	0.026	1.011	0.961	1.063	0.68
Gender	1.812	0.699	6.122	1.556	24.086	0.01^**
MUAC (cm)	2.167	0.449	8.729	3.618	21.063	0.001^**
Hb (g/dL)	0.314	0.146	1.368	1.028	1.820	0.031^**

The reference category is uncomplicated SAM. Logistic regression analysis. SE: standard error; CI: confidence interval; MUAC: mid-upper arm circumference; SAM: severe acute malnutrition; ^** P ≤ 0.01 was found significant; blank indicates not applicable

Declarations

Acknowledgments

We thank the whole team at the study’s participating facilities for their support in patient recruiting as well as their logistical and administrative assistance. In addition, we want to thank everyone who agreed to take part in the study. We extend our special thanks to Tanu Midha of G.S.V.M. Medical College, Kanpur, for her diligent efforts and professional assistance throughout the statistical analysis of the article. We acknowledge Indian Council of Medical Research (ICMR) for enabling this study.

Author contributions

MM: Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Visualization, Writing—original draft, Writing—review & editing. PT: Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing—original draft, Writing—review & editing. PS: Methodology. YKR: Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing—review & editing. DDS: Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing—Review & Editing.

Conflicts of interest

The authors declare that they have no conflicts of interest.

Ethical approval

Ethical approval has been obtained from the Institutional Ethics Committee (IEC), G.S.V.M. Medical College, Kanpur. No. EC/139/August/2021, dated August 25, 2021.

Consent to participate

The informed consent of all participants was obtained before their involvement in this study.

Consent to publication

Not applicable.

Availability of data and materials

The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.

Funding

The authors acknowledge the Indian Council of Medical Research Senior Research Fellowship grant [No. 3/1/2/241/2021-Nut], Department of Science & Technology-Fund for Improvement of Science &Technology Infrastructure in Universities and Higher Educational Institutions (DST-FIST) grant [SR/FIST/LS-1/2019/502], and Department of Science & Technology -Promotion of University Research and Scientific Excellence (DST-PURSE) grant [SR/PURSE/2021/77] at Amity University, Rajasthan, Jaipur, India. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Copyright

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