Original research

Dermatological changes in a prospective cohort of acutely ill, hospitalised Malawian children, stratified according to nutritional status

Abstract

Rationale Since the first documentation of skin changes in malnutrition in the early 18th century, various hair and skin changes have been reported in severely malnourished children globally. We aimed to describe the frequency and types of skin conditions in children admitted with acute illness to Queen Elizabeth Central Hospital, Blantyre, Malawi across a spectrum of nutritional status and validate an existing skin assessment tool.

Methods Children between 1 week and 23 months of age with acute illness were enrolled and stratified by anthropometry. Standardised photographs were taken, and three dermatologists assessed skin changes and scored each child according to the SCORDoK tool.

Results Among 103 children, median age of 12 months, 31 (30%) had severe wasting, 11 (11%) kwashiorkor (nutritional oedema), 20 (19%) had moderate wasting, 41 (40%) had no nutritional wasting and 18 (17%) a positive HIV antibody test. Six (5.8%) of the included patients died. 51 (50%) of children presented with at least one skin change. Pigmentary changes were the most common, observed in 35 (34%), with hair loss and bullae, erosions and desquamation the second most prevalent skin condition. Common diagnoses were congenital dermal melanocytosis, diaper dermatitis, eczema and postinflammatory hyperpigmentation. Severe skin changes like flaky paint dermatosis were rarely identified. Inter-rater variability calculations showed only fair agreement (overall Fleiss’ kappa 0.25) while intrarater variability had a fair-moderate agreement (Cohen’s kappa score of 0.47–0.58).

Discussion Skin changes in hospitalised children with an acute illness and stratified according to nutritional status were not as prevalent as historically reported. Dermatological assessment by means of the SKORDoK tool using photographs is less reliable than expected.

What is already known on this topic

  • There is a lack of current studies reporting on skin changes in acutely ill hospitalised children in lower-middle-income countries.

What this study adds

  • Skin changes that were observed were common dermatoses not specifically linked to nutritional status.

  • The prevalence of skin changes in the subgroup of malnourished children was unexpectedly lower.

  • Historically reported dermatoses and hair changes associated with malnutrition were not as prevalent.

How this study might affect research, practice or policy

  • Skin assessment using clinical photography is challenging, subjective and may be less reliable than in-person assessments.

  • Future skin assessment tools in children in developing nations should also include common dermatoses.

Introduction

Dermatoses are an important cause of morbidity in children in sub-Saharan Africa, with children under 5 predominantly at risk.1 Most common skin conditions seen in rural or outpatient settings often have an infectious origin such as impetigo, tinea capitis or scabies.2–4 Eczema is also commonly reported.2 3 Children with oedematous malnutrition have been reported to have distinct skin and hair changes that differ from common dermatoses seen in the general population.5–7 Nearly 90 years ago, Dr. Cicely Williams observed children who would die within a month of the skin changes.5

In severe wasting (SW), skin lesions, including angular cheilitis and pale mucous membranes, have been linked to micronutrient deficiencies, such as B vitamins and zinc.8 9 Nutritional oedema (‘kwashiorkor’) has been linked to hyperpigmented skin patches in areas frequently exposed to pressure (groin, buttocks, knees and elbows).6 7 10 11 Over time, the skin darkens, with a shiny, varnished appearance which may desquamate leaving hypopigmentation, commonly referred to as ‘flaky paint dermatosis’.6 10 Hair may appear sparse, dry and brittle.6 7 10 12 Intermittent malnutrition is characterised by bands of light and dark colouration in the hair termed ‘flag sign’.6 8 10

Heilskov et al identified a lack of standardised terminology used in the literature making it difficult to describe the global prevalence or even correctly characterise the skin changes due to malnutrition.13 They devised a scoring tool (SCORDoK, see online supplemental appendix 1) to identify skin manifestations and used it to predict mortality among children admitted to hospitals with severe malnutrition in Uganda.14

The primary objective of this study was to assess the prevalence of specific skin conditions among children across a spectrum of nutritional status admitted with an acute illness to the Paediatric Wards of Queen Elizabeth Central Hospital, Blantyre, Malawi (QECH). Our secondary objective was to validate the SCORDoK grading tool in a population of acutely ill, young children in Malawi.

Methods

Children aged 2–23 months old admitted to hospital and enrolled in the Childhood Acute Illness and Nutrition (CHAIN) Network cohort at QECH were eligible for the skin study.15 CHAIN was a multisite, prospective, observational cohort study of children aged 1 week to 23 months old admitted to hospitals with an acute illness (November 2016–January 2019). The main aim of CHAIN was to identify causes and mechanisms of mortality in acutely ill children admitted to the hospital and for 6 months postdischarge. The CHAIN Network cohort study is described in detail elsewhere.15 16 Briefly, participants were children, aged 2–23 months, with acute illness admitted to nine hospitals in six countries across sub-Saharan Africa and South Asia between 20 November 2016 and 31 January 2019. QECH (Blantyre, Malawi) was one of the nine CHAIN Network sites. In the entire CHAIN Network, 3001 children were enrolled in a 2:1:2 ratio in three strata (no wasting, moderate wasting (MW) and SW or nutritional oedema). CHAIN purposely over-recruited children with malnutrition, who are at higher risk of mortality.17–19

In the skin study, SW was defined using WHO criteria20 as having a weight for length Z-score (WLZ) <−3 or an MUAC (mid-upper arm circumference) of <11.5 cm (6–59 months), MUAC<11.0 cm for infants aged <6 months. MW was defined as having a WLZ between −2 and −3 or an MUAC<12.5 cm, or MUAC<12.0 cm for infants aged <6 months. Non-wasting (NW) was defined as anthropometry above these thresholds. Nutritional oedema (kwashiorkor (KW)) was defined as the presence of bilateral oedema.

Enrolment to main chain cohort

Due to extensive questionnaires and sampling, a maximum of five children per week, admitted to hospitals with an acute illness, were enrolled in three strata defined by anthropometry at each of the nine sites.15 The CHAIN cohort dataset included a skin assessment for all enrolled participants by the admitting clinician.

Enrolment to the skin study

Children who were enrolled on the main CHAIN cohort at QECH in Blantyre, Malawi between January 2018 and January 2019 were potentially eligible for the skin study. Enrolment was based on convenience sampling, dependent on the presence of the dermatologist on site, therefore, children who died or were discharged within 48 hours were sometimes missed. Children who were unable to leave their beds or on oxygen therapy were excluded due to the photography requirements. Specific informed consent for photographs was sought for the skin study as well as additional questions to establish pre-existing skin conditions (online supplemental appendix 2).

Skin assessments

Children included in the skin study had photographs systematically taken of their entire body by an experienced medical photographer according to standardised dermatological documentation practices (online supplemental appendix 3). Photographs were taken on enrolment to the skin study and repeated 180 days postdischarge.

Children were clinically assessed by a trained and experienced dermatologist (KM) and skin conditions were documented. Pictures were stored on an encrypted external drive and transferred to dermatologists using ‘FOX IT portal’ providing multiple layers of encryption ensuring confidentiality.21

Training of SCORDoK tool was done prior to grading to ensure consistency in grading among dermatologists (table 1). Three dermatologists (KM, CvH and DT) with decades of experience with dark-skinned children and treating diseases in the tropics, scored each child’s photographs according to SCORDoK tool definitions.14

Table 1
|
SCORDoK terminology14

Telogen effluvium was interpreted as a loss of hair and grading for pigmentary changes included any pigmentary change seen. Ichthyosiform skin changes referred to skin dryness while lichenoid skin changes referred to the thickness of skin. Bullae, erosions and desquamations referred to the blistering, denudation and peeling of the skin. Differences between observer scores were assessed by an independent author (DB) and cases with discrepancies in the scores were then discussed among the dermatologists resulting in a single agreed on score. Dermatologists reassessed photographs 6 months later to calculate intraobserver variability.

Statistical analysis

Baseline characteristics were compared with χ2 and one-way analysis of variance using Python V.3.8.3. Interobserver and intraobserver evaluations were calculated using Cohen’s kappa and Fleiss’ kappa, respectively, using R V.4.0.3 (2020-10-10) (packages ‘irr’).

Results

Descriptive statistics

Study flow is shown in figure 1. Of children enrolled in CHAIN but not included in the skin study (101 children), 4 had KW (4%), 19 SW (19%), 12 MW (12%) and 66 NW (65%). From the CHAIN dataset, 94/101 had no visible skin changes while 7 children presented with dermatoses: depigmentation (2), rash with broken skin (2), dermatitis (2) and maculopapular skin rash (1).

Figure 1
Figure 1

Study recruitment flow diagram. QECH, Queen Elizabeth Central Hospital.

In total 103 children were included in the skin study with a median age of 12 months (table 2). 11 (11%) children had KW, 31 children (30%) had SW, 20 (19%) had MW while 41 (40%) had NW. 48 (47%) children were admitted with diarrhoea, and 18 (18%) had a positive HIV antibody test. Dermatologists (using SCORDoK) determined 51 of the 103 (%) children had a dermatoses.

Table 2
|
Baseline characteristics of 103 children enrolled in skin CHAIN study and recruited for the current study

Skin changes according to SCORDoK

Pigmentary changes were the most frequently observed classification (34%) using SCORDoK, with telogen effluvium the second most prevalent (table 2). Ichthyosiform skin changes were seen in two children with NW and lichenoid skin changes in one child with nutritional oedema (kwashiorkor) (5%). Skin changes were more prevalent in children with nutritional oedema (kwashiorkor) except ichthyosiform skin changes. Children with SW were more likely to present with telogen effluvium or bullae, erosions and desquamation compared with pigmentary changes. 52 children (50%) were graded as having no skin changes. Of the six children who died, three (50%) children presented with pigmentary changes, two (33%) with telogen effluvium and one with bullae, erosions and desquamation.

Skin changes of children with severe malnutrition were compared with skin changes reported by Heilskov et al in hospitalised Ugandan children (table 3).14 Pigmentary changes were as prevalent in both studies among children with nutritional oedema (kwashiorkor) but children included in our analysis did not have the same prevalence of ichthyosiform and lichenoid skin changes. Dermatologists found a significantly larger percentage of patients with nutritional oedema (kwashiorkor) and SW had bullae, erosions and desquamation compared with Heilskov et al.14 Rates of telogen effluvium were significantly lower in children with nutritional oedema (kwashiorkor) and SW in our analysis.

Table 3
|
Frequency of skin disorders in 42 severely malnourished children admitted to hospital in Blantyre, Malawi compared with 119 admitted in Kampala, Uganda

Dermatological diagnoses

The leading diagnoses made were congenital dermal melanocytosis, diaper dermatitis and eczema, each in at least 10% of children (table 4). There were three (27%) cases each of congenital dermal melanocytosis and flaky paint dermatoses in children with nutritional oedema (kwashiorkor). Children with SW presented most frequently with diaper dermatitis (22.6%), eczema (19.4%) and congenital dermal melanocytosis (19.4%) In children with MW, congenital dermal melanocytosis followed by popular urticaria were the most common dermatoses seen. The most common diagnoses in children with no NW were congenital dermal melanocytosis, diaper dermatitis and postinflammatory hyperpigmentation.

Table 4
|
Diagnoses made by dermatologists from photographs

The majority of postinflammatory hyperpigmentation was considered due to insect bites (papular urticaria). The flag sign was not seen, but thinning and discolouration of hair were seen in three children (2.9%); one with nutritional oedema (kwashiorkor), one with SW and one with MW. The most common dermatological complaint reported prior to admission was a rash, seen in 29 children (28%), followed by complaints of itching (15 cases, 15%), swelling (9 cases, 8.7%) and ulcers (7 cases, 6.8%). In children with SW, 45% reported dermatological complaints prior to admission: these included rash (32%), itching (9.7%), ulcers (9.7%) and swelling (13%). In children with nutritional oedema (kwashiorkor), four reported a rash (36%), and one (9.1%) reported complaints of itching prior to admission. 40% of children (41) did not have a clinical dermatological diagnosis.

Follow-up

Of the 103 children, 101 children were discharged alive. There were an additional four deaths postdischarge, before the 180-day follow-up postdischarge. A total of 60 children were assessed again at 180 days after discharge, 15 lost to follow-up, 22 unable to have photos taken and 6 children who died since enrolment. At 180 days, there was a lower prevalence of telogen effluvium compared with admission (table 5). Bullae, erosions and desquamation had a reduction in prevalence in children with nutritional oedema (kwashiorkor). Paired analysis on follow-up showed that 24 (40%) children had no change in their skin status from admission to follow-up. Six (12%) of children presented with novel cases of telogen effluvium and 11 (18%) with new pigmentary changes. There was one new case of ichthyosiform and lichenoid skin changes (each) at follow-up. Across all four nutritional strata, there was an improvement in skin changes that were seen at admission compared with follow-up.

Table 5
|
Prevalence of skin changes of 60 patients on admission compared with follow-up at 180 days postdischarge using SCORDoK

Interobserver and intraobserver variability

103 assessments at admission and 60 at day 180 after discharge were included in the inter-rater and intrarater variability analysis. There was a moderate to fair Fleiss’ kappa for inter-rater variability between the SCORDoK scores of the three dermatologists (table 6). Bullae, erosions and desquamation had a moderate agreement by Fleiss’ kappa while others had slight to fair agreement.22 Intrarater variability among dermatologists using Cohen’s kappa was one fair with agreement, and two raters with moderate agreement when grading pictures for a second time.22

Table 6
|
(A) Inter-rater variability with Fleiss’ kappa; (B) intrarater variability with Cohen’s kappa

Discussion

In this Malawian population of hospitalised young children, stratified according to nutritional status, the prevalence of skin changes in the subgroup of malnourished children was unexpectedly lower than reported in Uganda.14 In general, skin changes in the present group of acutely ill children, stratified according to nutritional status were not very prevalent. The hospitals in Kampala (where SCORDOK was developed) and Blantyre are similar in many ways,23 both studies prospectively recruited severely malnourished children using similar WHO criteria for severe malnutrition. Our study focused on children who were admitted to the hospital with an acute illness rather than due to severe malnutrition alone, and we excluded early deaths and children unable to have photography. These biases could partly explain the lower prevalence of dermatoses seen in this study. Prior published studies may also have suffered from observation and selection bias, resulting in a higher reported frequency of skin abnormalities in children with severe acute malnutrition (SAM).6 14 24 25 Improvements in the prevention of malnutrition with initiatives such as community nutrition programmes,26–28 sanitation and hygiene interventions,26–30 and investments in agriculture and reducing economic inequity,26 27 could also have contributed to a lower prevalence of dermatoses in our setting.

Pigmentary changes, telogen effluvium and bullae erosive desquamation were most often observed in children with nutritional oedema (kwashiorkor). We had expected to see higher rates of pigmentary changes as nutritional oedema (kwashiorkor) can alter pigmentation through thinning of the skin resulting in hypopigmentation, as well as delayed wound healing causing hyperpigmentation.31 We also expected to see more lichenoid skin changes as they have previously been associated with nutritional oedema (kwashiorkor).14 32 This association has been suggested to be a skin manifestation of niacin deficiency33 due to the decreased levels tryptophan as a direct result of increased levels of proinflammatory cytokine IFN-γ.33 34 Pigmentary changes were not specific to children with SW or nutritional oedema (kwashiorkor) but were also present in children with MW or NW. Telogen effluvium, or hair thinning, as well as bullae, erosions and desquamation were less prevalent 180 days after discharge, suggestive of an association with acute illness and/or malnutrition. The most common diagnoses seen, congenital dermal melanocytosis, diaper dermatitis, eczema and postinflammatory hyperpigmentation are not specific to malnutrition and the reported prevalence is similar to the global prevalence of dermatoses in infants.35–38

Observed differences in the interpretation of the SCORDoK tool were reflected by poor kappa scores with ichthyosiform skin change, telogen effluvium and lichenoid skin change having the lowest agreement, which were subsequently categories stimulating the most discussions among the dermatologists. Bullae, erosions and desquamation had the highest Fleiss kappa score but with only moderate agreement. There was consensus that the category telogen effluvium did not allow for proper classification of what should be thinning and discolouration of hair, which is specific to malnutrition. Telogen effluvium, interpreted as loss of hair/alopecia, was most commonly along the occiput parietal temporal area. This is where the cloth used to carry babies on mothers’ backs would cause friction and is the likely cause of the alopecia. In addition to friction, several reasons for hair loss in childhood exist that are not necessarily due to malnutrition (ie, cultural, mechanical and fungal infections).39 Using telogen effluvium as a marker of malnutrition is, therefore, likely to be unreliable. Pigmentary changes were a broad category that resulted in congenital pigmentary dermatoses, such as congenital dermal melanocytosis, being classified as a pigmentary change. Both ichthyosiform skin changes and lichenoid skin changes were broad categories that lacked specific criteria. The SCORDOK dermatological tool was developed for children with SAM between 6 and 59 months, and the children in this study were below 24 months. We believe that the two populations are similar enough since the majority of children with SAM are below 2 years of age.

Challenges with dermatological grading tools are not unique, as skin changes can be subject to different interpretations and various classifications.40 SCORAD, a skin grading tool developed to determine the severity of atopic dermatitis,40 was found to have similar intraobserver and interobserver agreements. Subjectivity in SCORAD ratings potentially arose from social and cultural factors.40

This prospective study reported on observed dermatoses in a population of acutely ill children across a range of nutritional status admitted to a hospital in Malawi. The dermatologists involved with the grading of dermatoses have extensive dermatological experience in treating dark skin. This study suffered from selection bias due to the photographic requirements that required additional consent and that children were medically stable (figure 1). At admission to the main CHAIN study, all children were assessed by a clinician including a skin assessment. This bias is limited as only seven children who were not included were reported to have skin dermatoses. The sample size for severe malnutrition was limited with only 41% of children included having SW or nutritional oedema (kwashiorkor). Despite standardised photography, there were challenges in classifying skin disorders in this way. Our dermatologists highlighted the importance of patient histories that also affect diagnoses of dermatoses. Lastly, the interobserver assessment was completed 6 months after initial assessment and intervening discussion may have influenced the second grading set potentially resulting in a higher interobserver variability.

In conclusion, skin changes in hospitalised children with an acute illness and stratified according to nutritional status were not as prevalent as historically reported.6 8 14 24 25 The high disagreement rates in scoring also highlight difficulties with interpretive diagnostic tools. A future alternative for grading dermatoses could be machine learning, in order to more objectively classify skin changes.

  • Contributors: Conceptualisation: WV, KM, CvH and JB. Data acquisition: DvdB, KM, CvH, DT, FN, ES and EM. Analysis and interpretation of the data: DvdB, KM, CvH, DT, MBvH, RHJB, JLW, DB, JB and WV. Original manuscript draft: DvdB and WV. Review and editing: DvdB, KM, CvH, DT, FN, ES, EM, MBvH, RHJB, JLW, DB, JB and WV. All authors approved the final version of the manuscript and are accountable for all aspects of the work. Guarantors for the overall content: DvdB.

  • Funding: Support for the CHAIN Network was provided by the Bill & Melinda Gates Foundation (OPP1131320).

  • Competing interests: None declared.

  • Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

  • Provenance and peer review: Not commissioned; internally peer reviewed.

  • Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

Data availability statement

Data are available at a reasonable request from https://dataverse.harvard.edu/dataverse/chain

Ethics statements

Patient consent for publication:
Ethics approval:

This study involves human participants and ethical approval was obtained from Oxford University Tropical Research Ethics Committee, COMREC, Kamuzu University of Health Sciences, Malawi, and Medical Ethics Review Committee, Amsterdam UMC, The Netherlands. Participants were minors, informed consent was obtained from their parents or caregivers.

Acknowledgements

We thank all the children and their families for taking part in the study, and for all the commitments from the staff at QEH. Lastly, we would like to thank FOX-IT for providing access to their servers. For the purpose of open access, the CHAIN Network has applied a CC BY public copyright licence to any author-accepted manuscript version arising from this submission.

  1. close World Health Organization. Epidemiology and management of common skin diseases in children in developing countries. 2005;
    Available: here
    Google Scholar
  2. close Ramos JM, Molés-Poveda P, Tessema D, et al. Skin problems in children under five years old at a rural hospital in Southern Ethiopia. Asian Pac J Trop Biomed 2016; 6:625–9.
    doi:10.1016/j.apjtb.2016.05.009Google Scholar
  3. close Kiprono SK, Muchunu JW, Masenga JE, et al. Skin diseases in pediatric patients attending a tertiary dermatology hospital in northern Tanzania: a cross-sectional study. BMC Dermatol 2015; 15.
    doi:10.1186/s12895-015-0035-9Google Scholar
  4. close Murgia V, Bilcha KD, Shibeshi D, et al. Community dermatology in Debre Markos: an attempt to define children's dermatological needs in a rural area of Ethiopia. Int J Dermatol 2010; 49:666–71.
    doi:10.1111/j.1365-4632.2009.04284.xGoogle Scholar
  5. close Williams CD. A nutritional disease of childhood associated with a maize diet. Arch Dis Child 1933; 8:423–33.
    doi:10.1136/adc.8.48.423Google Scholar
  6. close Grover Z, Ee LC. Protein energy malnutrition. Pediatr Clin North Am 2009; 56:1055–68.
    doi:10.1016/j.pcl.2009.07.001Google Scholar
  7. close Latham MC. The dermatosis of kwashiorkor in young children. Semin Dermatol 1991; 10:270–2.
    Google Scholar
  8. close Schlomer T, Di Lucca J, Bart P-A, et al. Cutaneous manifestations of nutritional deficiencies. Rev Med Suisse 2019; 15:2125–30.
    Google Scholar
  9. close Galimberti F, Mesinkovska NA. Skin findings associated with nutritional deficiencies. Cleve Clin J Med 2016; 83:731–9.
    doi:10.3949/ccjm.83a.15061Google Scholar
  10. close McLaren DS. Skin in protein energy malnutrition. Arch Dermatol 1987; 123:1674–1676a.
    Google Scholar
  11. close Rajan MG, M S R, Sinha S, et al. Typical dermatosis in kwashiorkor. Asian J Pharm Clin Res 2017; 10:3.
    doi:10.22159/ajpcr.2017.v10i8.18524Google Scholar
  12. close Trowell HC. Clinical aspects of the treatment of Kwashiorkor. Ann N Y Acad Sci 1954; 57:722–33.
    doi:10.1111/j.1749-6632.1954.tb36448.xGoogle Scholar
  13. close Heilskov S, Rytter MJH, Vestergaard C, et al. Dermatosis in children with oedematous malnutrition (kwashiorkor): a review of the literature. Acad Dermatol Venereol 2014; 28:995–1001.
    doi:10.1111/jdv.12452Google Scholar
  14. close Heilskov S, Vestergaard C, Babirekere E, et al. Characterization and scoring of skin changes in severe acute malnutrition in children between 6 months and 5 years of age. Acad Dermatol Venereol 2015; 29:2463–9.
    doi:10.1111/jdv.13328Google Scholar
  15. close Childhood Acute Illness and Nutrition (CHAIN) Network. Childhood mortality during and after acute illness in Africa and South Asia: a prospective cohort study. Lancet Glob Health 2022; 10:e673–84.
    doi:10.1016/S2214-109X(22)00118-8Google Scholar
  16. close Childhood Acute Illness and Nutrition Network. Childhood acute illness and nutrition (CHAIN) network: a protocol for a multi-site prospective cohort study to identify modifiable risk factors for mortality among acutely ill children in Africa and Asia. BMJ Open 2019; 9.
    doi:10.1136/bmjopen-2018-028454Google Scholar
  17. close Madrid L, Casellas A, Sacoor C, et al. Postdischarge mortality prediction in sub-Saharan Africa. Pediatrics 2019; 143.
    doi:10.1542/peds.2018-0606Google Scholar
  18. close Wiens MO, Kumbakumba E, Larson CP, et al. Postdischarge mortality in children with acute infectious diseases: derivation of postdischarge mortality prediction models. BMJ Open 2015; 5.
    doi:10.1136/bmjopen-2015-009449Google Scholar
  19. close Ngari MM, Fegan G, Mwangome MK, et al. Mortality after inpatient treatment for severe pneumonia in children: a cohort study. Paediatr Perinat Epidemiol 2017; 31:233–42.
    doi:10.1111/ppe.12348Google Scholar
  20. close World Health Organization. WHO guideline on the prevention and management of wasting and nutritional oedema (Acute Malnutrition) in infants and children under 5 years. Geneva 2023;
    Google Scholar
  21. close FOX IT. Media and file encryption.
    Available: here
    Google Scholar
  22. close Viera AJ, Garrett JM. Understanding Interobserver agreement: the Kappa statistic. Fam Med 2005; 37:360–3.
    Google Scholar
  23. close UNICEF; WHO. Levels and trends in child malnutrition. Joint child malnutrition estimates: key findings of the 2019 edition. Geneva 2019;
    Available: here
    Google Scholar
  24. close SCRAGG J, RUBIDGE C. Kwashiorkor in African children in Durban. Br Med J 1960; 2:1759–66.
    doi:10.1136/bmj.2.5215.1759Google Scholar
  25. close KAHN E. Prognostic criteria of severe protein malnutrition. Am J Clin Nutr 1959; 7:161–5.
    doi:10.1093/ajcn/7.2.161Google Scholar
  26. close Bhutta ZA, Ahmed T, Black RE, et al. What works? Interventions for maternal and child undernutrition and survival. Lancet 2008; 371:417–40.
    doi:10.1016/S0140-6736(07)61693-6Google Scholar
  27. close Bhutta ZA, Berkley JA, Bandsma RHJ, et al. Severe childhood malnutrition. Nat Rev Dis Primers 2017; 3:17067.
    doi:10.1038/nrdp.2017.67Google Scholar
  28. close Keats EC, Das JK, Salam RA, et al. Effective interventions to address maternal and child malnutrition: an update of the evidence. Lancet Child & Adolescent Health 2021; 5:367–84.
    doi:10.1016/S2352-4642(20)30274-1Google Scholar
  29. close Humphrey JH. Child undernutrition, tropical enteropathy, toilets, and handwashing. Lancet 2009; 374:1032–5.
    doi:10.1016/S0140-6736(09)60950-8Google Scholar
  30. close Walson JL, Berkley JA. The impact of malnutrition on childhood infections. Curr Opin Infect Dis 2018; 31:231–6.
    doi:10.1097/QCO.0000000000000448Google Scholar
  31. close Sims RT. The ultrastructure of depigmented skin in kwashiorkor. Br J Dermatol 1968; 80:822–32.
    doi:10.1111/j.1365-2133.1968.tb11952.xGoogle Scholar
  32. close Pandit V, Udaya K. A cross sectional study of nutritional Dermatoses among malnourished children in a tertiary care centre. Indian J Paediatr Dermatol 2021; 22:226.
    doi:10.4103/ijpd.IJPD_13_20Google Scholar
  33. close Maltos AL, Portari GV, Moraes GV, et al. Niacin metabolism and Indoleamine 2,3-dioxygenase activation in malnourished patients with flaky paint dermatosis. Nutrition 2015; 31:890–2.
    doi:10.1016/j.nut.2014.12.023Google Scholar
  34. close Michael H, Amimo JO, Rajashekara G, et al. Mechanisms of kwashiorkor-associated immune suppression: insights from human, Mouse, and pig studies. Front Immunol 2022; 13.
    doi:10.3389/fimmu.2022.826268Google Scholar
  35. close Silverberg JI, Barbarot S, Gadkari A, et al. Atopic dermatitis in the pediatric population: a cross-sectional, international epidemiologic study. Ann Allergy Asthma Immunol 2021; 126:417–28.
    doi:10.1016/j.anai.2020.12.020Google Scholar
  36. close Yonezawa K, Haruna M, Shiraishi M, et al. Relationship between skin barrier function in early neonates and diaper dermatitis during the first month of life: a prospective observational study. Pediatr Dermatol 2014; 31:692–7.
    doi:10.1111/pde.12394Google Scholar
  37. close Chua RF, Pico J. Dermal Melanocytosis, StatPearls [Internet]. Treasure Island (FL), StatPearls Publishing 2022;
    Google Scholar
  38. close Ward DB, Fleischer AB, Feldman SR, et al. Characterization of diaper dermatitis in the United States. Arch Pediatr Adolesc Med 2000; 154:943–6.
    doi:10.1001/archpedi.154.9.943Google Scholar
  39. close Xu L, Liu KX, Senna MM, et al. A practical approach to the diagnosis and management of hair loss in children and adolescents. Front Med 2017; 4.
    doi:10.3389/fmed.2017.00112Google Scholar
  40. close Oranje AP, Glazenburg EJ, Wolkerstorfer A, et al. Practical issues on interpretation of scoring atopic dermatitis: the SCORAD index, objective SCORAD and the three-item severity score. Br J Dermatol 2007; 157:645–8.
    doi:10.1111/j.1365-2133.2007.08112.xGoogle Scholar

  • Received: 5 November 2023
  • Accepted: 16 May 2024
  • First Published: 8 June 2024

  NODES
Association 2
COMMUNITY 2
INTERN 3
Note 2