Pub Date : 2023-10-01DOI: 10.1515/jpem-2023-frontmatter10
{"title":"Frontmatter","authors":"","doi":"10.1515/jpem-2023-frontmatter10","DOIUrl":"https://doi.org/10.1515/jpem-2023-frontmatter10","url":null,"abstract":"","PeriodicalId":16746,"journal":{"name":"Journal of Pediatric Endocrinology and Metabolism","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135605407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1515/jpem-2023-frontmatter9
{"title":"Frontmatter","authors":"","doi":"10.1515/jpem-2023-frontmatter9","DOIUrl":"https://doi.org/10.1515/jpem-2023-frontmatter9","url":null,"abstract":"","PeriodicalId":16746,"journal":{"name":"Journal of Pediatric Endocrinology and Metabolism","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135149915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-01DOI: 10.1515/jpem-2023-frontmatter8
{"title":"Frontmatter","authors":"","doi":"10.1515/jpem-2023-frontmatter8","DOIUrl":"https://doi.org/10.1515/jpem-2023-frontmatter8","url":null,"abstract":"","PeriodicalId":16746,"journal":{"name":"Journal of Pediatric Endocrinology and Metabolism","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136106438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-01DOI: 10.1515/jpem-2023-frontmatter7
{"title":"Frontmatter","authors":"","doi":"10.1515/jpem-2023-frontmatter7","DOIUrl":"https://doi.org/10.1515/jpem-2023-frontmatter7","url":null,"abstract":"","PeriodicalId":16746,"journal":{"name":"Journal of Pediatric Endocrinology and Metabolism","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135409471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1515/jpem-2023-frontmatter5
{"title":"Frontmatter","authors":"","doi":"10.1515/jpem-2023-frontmatter5","DOIUrl":"https://doi.org/10.1515/jpem-2023-frontmatter5","url":null,"abstract":"","PeriodicalId":16746,"journal":{"name":"Journal of Pediatric Endocrinology and Metabolism","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136271907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1515/jpem-2023-frontmatter3
{"title":"Frontmatter","authors":"","doi":"10.1515/jpem-2023-frontmatter3","DOIUrl":"https://doi.org/10.1515/jpem-2023-frontmatter3","url":null,"abstract":"","PeriodicalId":16746,"journal":{"name":"Journal of Pediatric Endocrinology and Metabolism","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136390344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Misha Antani, Y. Pargaonkar, C. Oza, Shruti A. Mondkar, V. Khadilkar, K. Gondhalekar, A. Khadilkar
Abstract Objectives The double burden of malnutrition accompanied by micronutrient deficiency is referred to as the triple burden of malnutrition (TBM). Very few studies have highlighted the TBM in children with type-1 diabetes. We conducted this study with the objective of estimating the TBM in Indian children and youth with type-1 diabetes (T1D) and to study role of anaemia in the development of complications associated with T1D. Methods This cross-sectional observational study included 394 subjects with T1D. Demographic data, anthropometry, blood pressure, biochemical measurements, dual energy X-ray absorptiometry (DXA) and peripheral quantitative computed tomography were performed using standard protocols. Estimated glucose disposal rate (eGDR) and estimated glomerular filtration rate (eGFR) were calculated for all subjects. Results We report a 16, 5.8, and 16.2% prevalence of anaemia, underweight and overweight/obese suggesting TBM with microcytic hypochromic anaemia as the most common morphological form. Haemoglobin concentrations showed positive correlation with systolic and diastolic blood pressure. The presence of anaemia was a significant predictor of eGDR and macrovascular complications in T1D which could not be attributed to glycemic control. Bone health of anaemic T1D subjects was poor than subjects without anaemia on DXA scan after adjusting for confounders. No systematic pattern between Hb concentrations and eGFR or ACR was found. Conclusions TBM in Indian children and youth with T1D is a significant health problem and anaemia is an important predictor in the development of macrovascular complications and poor bone health associated with T1D. However, its role in development of microvascular complications remains to be explored.
{"title":"Triple burden of malnutrition and role of anaemia in the development of complications associated with type 1 diabetes in Indian children and youth","authors":"Misha Antani, Y. Pargaonkar, C. Oza, Shruti A. Mondkar, V. Khadilkar, K. Gondhalekar, A. Khadilkar","doi":"10.1515/jpem-2022-0327","DOIUrl":"https://doi.org/10.1515/jpem-2022-0327","url":null,"abstract":"Abstract Objectives The double burden of malnutrition accompanied by micronutrient deficiency is referred to as the triple burden of malnutrition (TBM). Very few studies have highlighted the TBM in children with type-1 diabetes. We conducted this study with the objective of estimating the TBM in Indian children and youth with type-1 diabetes (T1D) and to study role of anaemia in the development of complications associated with T1D. Methods This cross-sectional observational study included 394 subjects with T1D. Demographic data, anthropometry, blood pressure, biochemical measurements, dual energy X-ray absorptiometry (DXA) and peripheral quantitative computed tomography were performed using standard protocols. Estimated glucose disposal rate (eGDR) and estimated glomerular filtration rate (eGFR) were calculated for all subjects. Results We report a 16, 5.8, and 16.2% prevalence of anaemia, underweight and overweight/obese suggesting TBM with microcytic hypochromic anaemia as the most common morphological form. Haemoglobin concentrations showed positive correlation with systolic and diastolic blood pressure. The presence of anaemia was a significant predictor of eGDR and macrovascular complications in T1D which could not be attributed to glycemic control. Bone health of anaemic T1D subjects was poor than subjects without anaemia on DXA scan after adjusting for confounders. No systematic pattern between Hb concentrations and eGFR or ACR was found. Conclusions TBM in Indian children and youth with T1D is a significant health problem and anaemia is an important predictor in the development of macrovascular complications and poor bone health associated with T1D. However, its role in development of microvascular complications remains to be explored.","PeriodicalId":16746,"journal":{"name":"Journal of Pediatric Endocrinology and Metabolism","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73331350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Objectives Inflammation is a feature of non-alcoholic fatty liver disease progression and plays an important role in hepatic steatosis and fibrosis. Since there are no studies in the literature showing the relationship between hepatosteatosis with the systemic immune-inflammation index (SII) and pan-immune inflammation value (PIV), we aimed to evaluate the relationship between these biomarkers and hepatosteatosis in childhood. Methods We included 133 consecutive obese children and adolescents aged 6–18 years into this single-center, retrospective, and cross-sectional study. Anthropometric, physical examination, radiological and laboratory data were obtained and recorded from the file records of each case. Results When we grouped the patient population according to the grade of hepatosteatosis, there was a statistically significant difference between the groups in terms of SII and PIV values (p<0.05, for both). In the analyzes performed to identify independent predictors of hepatosteatosis pubertal status (p=0.019) and PIV value (p<0.001) were found to be significant as independent predictors. Moreover, in the analysis performed to predict severity of hepatic steatosis, regression analysis was performed by dividing the groups into groups with and without severe adiposity. As a result of this analysis, HOMA-IR (p=0.019) and PIV value (p=0.028) were found to be significant in the prediction of severe hepatic adiposity. Conclusions Our findings showed that increased PIV levels were associated with the presence and severity of hepatic steatosis, but not with SII.
{"title":"Role of pan immune inflammatory value in the evaluation of hepatosteatosis in children and adolescents with obesity","authors":"Sevgi Demiröz Taşolar, Nurdan Çiftçi","doi":"10.1515/jpem-2022-0494","DOIUrl":"https://doi.org/10.1515/jpem-2022-0494","url":null,"abstract":"Abstract Objectives Inflammation is a feature of non-alcoholic fatty liver disease progression and plays an important role in hepatic steatosis and fibrosis. Since there are no studies in the literature showing the relationship between hepatosteatosis with the systemic immune-inflammation index (SII) and pan-immune inflammation value (PIV), we aimed to evaluate the relationship between these biomarkers and hepatosteatosis in childhood. Methods We included 133 consecutive obese children and adolescents aged 6–18 years into this single-center, retrospective, and cross-sectional study. Anthropometric, physical examination, radiological and laboratory data were obtained and recorded from the file records of each case. Results When we grouped the patient population according to the grade of hepatosteatosis, there was a statistically significant difference between the groups in terms of SII and PIV values (p<0.05, for both). In the analyzes performed to identify independent predictors of hepatosteatosis pubertal status (p=0.019) and PIV value (p<0.001) were found to be significant as independent predictors. Moreover, in the analysis performed to predict severity of hepatic steatosis, regression analysis was performed by dividing the groups into groups with and without severe adiposity. As a result of this analysis, HOMA-IR (p=0.019) and PIV value (p=0.028) were found to be significant in the prediction of severe hepatic adiposity. Conclusions Our findings showed that increased PIV levels were associated with the presence and severity of hepatic steatosis, but not with SII.","PeriodicalId":16746,"journal":{"name":"Journal of Pediatric Endocrinology and Metabolism","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85669500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Objectives Use of complementary and alternative medicine (CAM) is widespread. This study aimed to investigate the use of CAM in children with central precocious puberty (PP) who used gonadotropin-releasing hormone analog (GnRHa) treatment. Methods Parents of 108 patients who were diagnosed as having PP were involved in the study. A questionnaire was administered to the parents during follow-ups. The patients were divided into two groups according to the use of CAM. Results Forty (37%) patients had used CAM. Parents who graduated from primary school tended not to use CAM (χ 2 =10.463; p=0.015). There was no other statistically significant difference between the sociodemographic features (p>0.05). The most common information source was physicians (40%). Seventy-five percentage of CAM users and 44.1% of non-CAM users knew/heard about herbal medicine (χ 2 =8.517; p=0.004) and herbal medicine was the most common type of CAM used. 80% of parents in the CAM group and 54.4% of parents in the non-CAM group knew at least one biologically based therapy that had estrogenic activity (χ 2 =6.082; p=0.014). Seventy-one percentage of parents in the CAM group and 29% of parents in the non-CAM group stated that they would consider using CAM in the future (χ 2 =16.979; p<0.001). Conclusions The use of CAM among patients with PP is high. Although most CAM therapies are harmless, there may be adverse effects or drug interactions with current conventional treatment in children. Health professionals should be aware and inquire about the use and type of CAM, considering the medical history at every patient encounter.
{"title":"Perceptions and use of complementary and alternative medicine in patients with precocious puberty","authors":"Sevinc Odabasi Gunes","doi":"10.1515/jpem-2022-0305","DOIUrl":"https://doi.org/10.1515/jpem-2022-0305","url":null,"abstract":"Abstract Objectives Use of complementary and alternative medicine (CAM) is widespread. This study aimed to investigate the use of CAM in children with central precocious puberty (PP) who used gonadotropin-releasing hormone analog (GnRHa) treatment. Methods Parents of 108 patients who were diagnosed as having PP were involved in the study. A questionnaire was administered to the parents during follow-ups. The patients were divided into two groups according to the use of CAM. Results Forty (37%) patients had used CAM. Parents who graduated from primary school tended not to use CAM (χ 2 =10.463; p=0.015). There was no other statistically significant difference between the sociodemographic features (p>0.05). The most common information source was physicians (40%). Seventy-five percentage of CAM users and 44.1% of non-CAM users knew/heard about herbal medicine (χ 2 =8.517; p=0.004) and herbal medicine was the most common type of CAM used. 80% of parents in the CAM group and 54.4% of parents in the non-CAM group knew at least one biologically based therapy that had estrogenic activity (χ 2 =6.082; p=0.014). Seventy-one percentage of parents in the CAM group and 29% of parents in the non-CAM group stated that they would consider using CAM in the future (χ 2 =16.979; p<0.001). Conclusions The use of CAM among patients with PP is high. Although most CAM therapies are harmless, there may be adverse effects or drug interactions with current conventional treatment in children. Health professionals should be aware and inquire about the use and type of CAM, considering the medical history at every patient encounter.","PeriodicalId":16746,"journal":{"name":"Journal of Pediatric Endocrinology and Metabolism","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84201539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Oza, A. Khadilkar, M. Karguppikar, K. Gondhalekar, V. Khadilkar
Abstract Objectives The role of insulin sensitivity (IS) in the development and progression of metabolic syndrome (MS) in subjects with type-1 diabetes (T1D) is being increasingly recognized. As patients with T1D lack endogenous insulin secretion, measurement of insulin concentration by immunoassay or by indices such as homeostasis model of assessment for insulin resistance (HOMA-IR) is not helpful in assessing IS. Hence, some equations have been developed and validated against data from euglycemic-hyper-insulinemic clamp tests (the gold standard) to estimate IS. 1) To assess IS using available equations (EDC, SEARCH and CACTI) and relationship of IS with MS and microalbuminuria in adolescents with T1D, (2) To compare the predictive value of these equations for detection of MS and derive a cut-off to predict the future risk of development of MS and microalbuminuria and (3) To identify the most accurate non-invasive and easy-to-use equation for detecting patients with double diabetes (DD) in a clinical setting. Methods This cross-sectional study included 181 adolescents aged 12–18 years with T1D. Demographic data and laboratory measurements were performed using standard protocols. IS was calculated using following equations:(1) EDC=24.31−12.22×(WHR)−3.29×(hypertension)−0.57×(HbA1c), (2) SEARCH=exp(4.64725−0.02032(waist)−0.09779(HbA1c)−0.00235(Triglycerides), (3)CACTI-exA=exp(4.1075–0.01299×(waist)−1.05819×(insulin dose)−0.00354×(Triglycerides)−0.00802×(DBP)). Results IS determined by all three methods had significant negative correlation (p<0.05) with MS as well as with microalbuminuria. The cut-off value of 5.485 mg/kg/min by SEARCH method for determining IS had the highest sensitivity and specificity in identifying MS. Conclusions IS by SEARCH equation may be used in routine clinical practice to detect DD in Indian adolescents with T1D at risk of developing metabolic as well as microvascular complications.
{"title":"Comparison of insulin sensitivity indices for detection of double diabetes in Indian adolescents with type 1 diabetes","authors":"C. Oza, A. Khadilkar, M. Karguppikar, K. Gondhalekar, V. Khadilkar","doi":"10.1515/jpem-2022-0076","DOIUrl":"https://doi.org/10.1515/jpem-2022-0076","url":null,"abstract":"Abstract Objectives The role of insulin sensitivity (IS) in the development and progression of metabolic syndrome (MS) in subjects with type-1 diabetes (T1D) is being increasingly recognized. As patients with T1D lack endogenous insulin secretion, measurement of insulin concentration by immunoassay or by indices such as homeostasis model of assessment for insulin resistance (HOMA-IR) is not helpful in assessing IS. Hence, some equations have been developed and validated against data from euglycemic-hyper-insulinemic clamp tests (the gold standard) to estimate IS. 1) To assess IS using available equations (EDC, SEARCH and CACTI) and relationship of IS with MS and microalbuminuria in adolescents with T1D, (2) To compare the predictive value of these equations for detection of MS and derive a cut-off to predict the future risk of development of MS and microalbuminuria and (3) To identify the most accurate non-invasive and easy-to-use equation for detecting patients with double diabetes (DD) in a clinical setting. Methods This cross-sectional study included 181 adolescents aged 12–18 years with T1D. Demographic data and laboratory measurements were performed using standard protocols. IS was calculated using following equations:(1) EDC=24.31−12.22×(WHR)−3.29×(hypertension)−0.57×(HbA1c), (2) SEARCH=exp(4.64725−0.02032(waist)−0.09779(HbA1c)−0.00235(Triglycerides), (3)CACTI-exA=exp(4.1075–0.01299×(waist)−1.05819×(insulin dose)−0.00354×(Triglycerides)−0.00802×(DBP)). Results IS determined by all three methods had significant negative correlation (p<0.05) with MS as well as with microalbuminuria. The cut-off value of 5.485 mg/kg/min by SEARCH method for determining IS had the highest sensitivity and specificity in identifying MS. Conclusions IS by SEARCH equation may be used in routine clinical practice to detect DD in Indian adolescents with T1D at risk of developing metabolic as well as microvascular complications.","PeriodicalId":16746,"journal":{"name":"Journal of Pediatric Endocrinology and Metabolism","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84917794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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