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.