No abstract

Objectives Lack of systematic evaluation of short stature results in unnecessary work-up on one hand while missing pathology on the other. We have developed a mobile application that guides work-up based on age, auxology (height, BMI, and corrected standard deviation score), and skeletal maturation with an aim of reducing the diagnostic errors. Aim of this study is to develop and validate a mobile application for point of care evaluation of short stature. Methods The application was developed (n=400) and validated (n=412) on children and adolescents (2–18 years of age) presenting to our Pediatric Endocrinology Clinic with short stature. Height standard deviation score thresholds determining the need for workup were derived from Receiver Operating Characteristics (ROC) curve. Student’s t-test and ROC curves were used to identify the most appropriate parameter differentiating constitutional delay of growth and puberty (CDGP) from pathological and nutritional from endocrine causes. The validation of the application involved comparing the application predicted and clinical diagnosis at each step of the algorithm. Results The mobile application diagnosis was concordant with clinical diagnosis in 408 (99.0%) with discordance in four (two with CDGP labeled as growth hormone deficiency [GHD] and two with GHD labeled as CDGP). Conclusions Mobile application guided short stature assessment has a high concordance with the clinical diagnosis and is expected to help point of care short stature evaluation.

Background: Malnutrition among under-five children (U5C) in India is a major public health problem due to double burden caused by nutritional transition. WHO cut-offs are adopted as global growth standards which define how children should grow in condition of optimal nutrition and health. Growth references which are representative of population-specific existing growth patterns need to be updated regularly which is cumbersome; hence, the author’s group published ‘synthetic growth references’ for Indian children of age 0–18 years. Objectives: The objective of this study is to field test the new synthetic growth references in U5C for height-for-age, weight-for-age and body mass index (BMI)-for-age against WHO charts in urban and rural Indian children to estimate prevalence of various indices of malnutrition. Methods: A cross-sectional anthropometric assessment of apparently healthy rural and urban Indian U5C attending vaccination centre was performed using standard protocols. They were converted to Z -scores using WHO and Indian synthetic growth references. The equality of proportion of parameters of malnutrition was tested by McNemar’s test and P value <0.05 was considered significant. Results: WHO charts significantly overestimated stunting and malnutrition as compared to synthetic references with difference in sensitivity of 7.2% and 8.5%, respectively, and converse for over-nutrition by 2.1%. The most commonly affected parameter of malnutrition was underweight. Stunting was significantly higher in rural population using both cut-offs ( P < 0.05). Conclusion: The synthetic references limit the spread of weight and BMI and do not overestimate stunting and wasting. They may be more useful for identification of malnutrition and may thus be recommended for routine screening in Indian U5C.

We present a case of a young girl who presented with hypertensive crisis and recent onset weight gain with hirsutism. On evaluation for Cushing syndrome (CS), her cortisol concentration was high, showed a paradoxical cortisol rise on dexamethasone suppression and the adrenocorticotropic hormone (ACTH) was low. Adrenal imaging showed normal adrenal morphology. Genetic diagnosis of primary pigmented nodular adrenal disease (PPNAD) was made. She was operated for bilateral adrenalectomy and histopathology confirmed the diagnosis of PPNAD. Our case highlights the rare aetiology of PPNAD as a cause of CS resulting in a hypertensive crisis. To the best of our knowledge, this is the youngest case of ACTH independent CS presenting as hypertensive encephalopathy.