Wojciech Mlynarski |
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Medical University of Łódź
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Klinika Pediatrii, Onkologii, Hematologii i Diabetologii
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Publications (274) View all
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Article: Maternal depressive symptoms predict acute hospitalization among children with type 1 diabetes.
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ABSTRACT: OBJECTIVES: The aim of this study is to examine the impact of a mother's depressive symptoms on the risk of hospital admission of her child due to severe hypoglycemia or diabetic ketoacidosis. MATERIALS AND METHODS: One hundred sixty-six mothers of children with type 1 diabetes (T1DM) were evaluated using the Hamilton Depression Rating Scale (HDRS). All of the children were studied prospectively for acute diabetic complications. The optimal thresholds of HDRS mother's scores for prediction of the risk of child hospitalization were identified using the Receiver Operating Characteristic curve analysis. The time to hospital admissions were compared using the log-rank test for univariate and Cox's proportional hazard models for multivariate analysis of risk factors for hospitalization. RESULTS: At study entry age, diabetes duration and glycated hemoglobin (HbA1c) of the children equaled 13.5 ± 2.6 years, 4.1 ± 1.9 years and 7.8 ± 1.7%, respectively. Throughout the observation period 56 patients required at least one hospitalization due to acute complications. Median time of observation and time to the hospital admission were 46.3 [interquartile range (IQR) 32.2-57.7] and 13.2 (IQR 6.6-20.0) months, respectively. The best cutoff value of maternal depression in HDRS predictive for the risk of child hospitalization was above 12 points. The hazard ratio for hospitalization offered by the cutoff score for mother's depressive symptoms above threshold was 2.73 (95% confidence interval: 1.39-5.36). CONCLUSION: Children with T1DM whose mothers show high level of depressive symptoms are at an elevated risk for hospitalization due to acute diabetic complication.Pediatric Diabetes 01/2013; · 2.16 Impact Factor -
Article: Efficacy of metabolic and psychological screening for mood disorders among children with type 1 diabetes.
Agnieszka Butwicka, Wojciech Fendler, Adam Zalepa, Agnieszka Szadkowska, Beata Mianowska, Agnieszka Gmitrowicz, Wojciech Mlynarski[show abstract] [hide abstract]
ABSTRACT: OBJECTIVE To compare the diagnostic accuracy and time expenditure of screening models based on glycated hemoglobin (HbA(1c)) level and psychometric measures for mood disorder (MD) among children with type 1 diabetes. RESEARCH DESIGN AND METHODS With semistructured clinical interviews (Schedule for Affective Disorders and Schizophrenia for Children-Present and Lifetime version, 120 min/patient) as a reference for diagnosing MD, including major depressive disorder (MDD), we tested 163 subjects, aged 8 to 18 years, with type 1 diabetes. We evaluated four screening approaches: 1) Children's Depression Inventory (CDI) at 30 min/patient, 2) HbA(1c) level, 3) HbA(1c) level plus CDI, and 4) HbA(1c) level plus Children's Depression Rating Scale (CDRS) at 40 min/patient. These tests were conducted with all participants, and the total time expenditure for all four approaches was calculated as the total time needed to implement successfully the screening for MD or MDD in the center. RESULTS HbA(1c) performed on par with individual psychometric tests in diagnosing MD or MDD. The HbA(1c) plus CDRS model was the best screening procedure for both MD and MDD, with diagnostic thresholds for HbA(1c) established at 8.7% and 9.0%, respectively. Cutoff points for CDRS assessed after filtering by HbA(1c) were 26 (MD) and 30 (MDD) points. Center-wide application of this procedure would result in an 83% reduction of the examination time necessary for the psychiatrist for MD screening and a 91% reduction for MDD screening, as compared with standard screening with CDI. CONCLUSIONS Use of HbA(1c) level followed by CDRS is a time-efficient procedure to screen for MD in children with type 1 diabetes.Diabetes care 09/2012; 35(11):2133-9. · 8.09 Impact Factor -
Article: Use of Lispro Insulin Diluted with Normal Saline to 10 U/ml in an Insulin Pump: Case Report (Letter to the Editor)
Journal of diabetes science and technology 09/2012; 6(5):1238–1239. -
Article: Use of Lispro Insulin Diluted with Normal Saline to 10 U/ml in an Insulin Pump: Case Report.
Journal of diabetes science and technology 09/2012; 6(5):1238-9. -
Article: Successful haploidentical PBSCT with subsequent T-cell addbacks in a boy with HyperIgM syndrome presenting as severe congenital neutropenia.
Aleksandra Jasinska, Krzysztof Kalwak, Joanna Trelinska, Maciej Borowiec, Barbara Piatosa, Krzysztof Zeman, Wojciech Mlynarski[show abstract] [hide abstract]
ABSTRACT: Jasinska A, Kalwak K, Trelinska J, Borowiec M, Piatosa B, Zeman K, Mlynarski W. Successful haploidentical PBSCT with subsequent T-cell addbacks in a boy with HyperIgM syndrome presenting as severe congenital neutropenia. Abstract: HIGM syndrome is a group of primary immunodeficiency disorders characterized by recurrent bacterial and opportunistic infections; it is also associated with normal to elevated serum IgM levels and a concomitant deficiency of IgG, IgA, and IgE. In this report, we give account of a boy with X-linked HIGM and a novel Y172C mutation within his CD40LG gene. He presented with severe neutropenia as the dominating symptom. His bone marrow showed maturation arrest at the promyelocyte/myelocyte stage, typical of congenital neutropenia. This boy suffered from life-threatening infections and required high doses of rhG-CSF, and a haploidentical PBSCT was also successfully performed, thus leading to reconstitution of CD40L expression on activated CD4+ T cells (as assessed with flow cytometry six months after the procedure). Two low-dose T-cell addbacks were required to re-establish full donor chimerism and clear CMV reactivation. The report demonstrates that in select cases, alternative donor allogeneic HSCT supported by DLI may be effective in correcting the defect in X-linked HIGM, and HSCT in HIGM children is not necessarily limited to matched sibling donor transplantation.Pediatric Transplantation 08/2012; · 1.48 Impact Factor