Stefano Tumini

Dr. Stefano Tumini

orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 October 2016 in Acta Diabetologica
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ASAndrea E. Scaramuzza
Andrea E. Scaramuzza
CAClaudia Arnaldi
Claudia Arnaldi
Valentino CherubiniValentino Cherubini
Valentino Cherubini
EPElvira Piccinno
Elvira Piccinno
IRIvana Rabbone
Ivana Rabbone
FLFortunato Lombardo
Fortunato Lombardo

1 January 1999 in Journal of Pediatric Endocrinology and Metabolism
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MVM. Vanelli
M. Vanelli
Francesco ChiarelliFrancesco Chiarelli
Francesco Chiarelli
GCG. Chiari
G. Chiari
STStefano Tumini
Stefano Tumini
GCG. Costi
G. Costi
ACA. Casani
A. Casani
A survey on glycemic control in 201 diabetic children and adolescents, aged 0-18 years, was performed in two Italian Centers for Childhood Diabetes (Chieti and Parma). Mean HbA1c was 7.8+/-1.4 (range 4.8-13.3%; median 7.6%). With progression of diabetes duration, deterioration of glycemic control was observed (r=0.20; p< 0.002), more evident in girls than in boys, with peaks at 14 (8.9+/-2.0 vs 6.9+/-1.7%; p<0.05) and 16 years (9.5+/-1.4% vs 8.1+/-1.1; p<0.02). No differences were found in BMI values in boys or girls, or for insulin doses which were increased significantly in both sexes according to age (r= 0.33, p<0.04). The number of insulin injections did not influence glycemic control. Only one severe hypoglycemic episode was reported during the period of observation. This study demonstrates that modern management, continuous education and patient and family empowerment are effective in attaining excellent glycemic control without increasing the risk of hypoglycemia.

14 March 2022
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Journal Article
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STStefano Tumini
Stefano Tumini
SBSalwa Baki
Salwa Baki
IKIoanna Kosteria
Ioanna Kosteria
IGItalo Di Giuseppe
Italo Di Giuseppe
GLGabriella Levantini
Gabriella Levantini
To assess the incidence of Type 1 Diabetes Mellitus (T1DM) during the period 2012-2017, the frequency and severity of ketoacidosis (DKA) at diabetes onset, and the factors associated with DKA in children and adolescents younger than 18 years old in the Abruzzo region, Italy. All incident cases of T1DM (0-17 years old) diagnosed between January 2012 and December 2017 were included. Data about the patients were obtained from two independent sources; insulin prescriptions and medical records. Clinical data at diabetes onset, as well as demographic and non-demographic data, including center of first hospitalization, distance to regional reference center and number of pediatricians (per 1000 residents younger than 18 years) were collected and evaluated. During 2012-2017 period, 177 patients were diagnosed with T1DM. In 2012, T1DM incidence was 15.6 per 100,000/year; in 2013, 16.4 per 100,000/year; in 2014, 11.6 per 100,000/year; in 2015, 14.2 per 100,000/year; in 2016, 16.2 per 100,000/year and in 2017, 12.2 per 100,000/year. DKA was present in 29.3% of patients, 6.9% with severe DKA. The DKA presence was correlated to age (p<0.02), ethnicity (p<0.04), being transferred to a specialist center instead of being directly admitted to one (p<0.002) and the number of pediatricians in the population (p<0.01). The DKA severity was associated with the delay of transfer (p<0.04). Being admitted directly to a specialist center is very important and it could be expression of high alertness of pediatricians. Availability of well-trained pediatricians is necessary for the prevention of DKA. (www.actabiomedica.it).

21 November 2019 in Metabolites
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Ilaria CicaliniIlaria Cicalini
Ilaria Cicalini
STStefano Tumini
Stefano Tumini
PGPaola Irma Guidone
Paola Irma Guidone
Damiana PieragostinoDamiana Pieragostino
Damiana Pieragostino
MZMirco Zucchelli
Mirco Zucchelli
Claudia RossiClaudia Rossi
Claudia Rossi
Congenital adrenal hyperplasia (CAH) describes a group of autosomal recessive disorders of steroid biosynthesis, in 95% of cases due to 21-hydroxylase deficiency. The resulting hormonal imbalances lead to increased 17-hydroxyprogesterone and androgens levels, at the expense of decreased concentrations of glucocorticoids and, in some cases, of mineralocorticoids. A variety of clinical presentations accompany a range of severities, which are described as different forms of CAH, and are the result of these hormonal imbalances. The incidence of CAH worldwide is approximately 1 in 15,000 live births, and is population-dependent; thus, its inclusion in neonatal screening tests is widely discussed. Diagnosis of CAH is based on the quantification of 17-hydroxyprogesterone, usually by immunoassay, which has low specificity and high false-positive rates, resulting in a relatively high demand for a second-tier confirmation test. We report a case of a newborn recognized as female at birth, but showing ambiguous genitalia and other CAH clinical features, including hypernatremia, in the first days of life. In addition to the classical assays, liquid chromatography–tandem mass spectrometry was used to determine the serum steroid profile, allowing for the accurate and simultaneous quantification of seven steroids in the same analysis. Such an application immediately revealed an alteration in the levels of specific steroids related to CAH, leading to an early intervention by hormone replacement therapy. Subsequently, the diagnosis of classic CAH due to 21-hydroxylase deficiency was further confirmed by molecular testing.

12 December 2021 in Pediatric Diabetes
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STStefano Tumini
Stefano Tumini
EFElisabetta Fioretti
Elisabetta Fioretti
Ilaria RossiIlaria Rossi
Ilaria Rossi
PCPaola Cipriano
Paola Cipriano
SFSimone Franchini
Simone Franchini
LGLinda Gonder‐Frederick
Linda Gonder‐Frederick

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MMMarco Marigliano
Marco Marigliano
EMEnza Mozzillo
Enza Mozzillo
VMvalentina mancioppi
valentina mancioppi
FCFrancesca Di Candia
Francesca Di Candia
FRFrancesco Maria Rosanio
Francesco Maria Rosanio
Roberto FranceschiRoberto Franceschi
Roberto Franceschi
In people with type 1 diabetes, Automated Insulin Delivery (AID) systems adjust insulin delivery in response to sensor glucose data and consist of three components: an insulin pump, a continuous glucose sensor, and an algorithm that determines insulin delivery. To date, all the available AID systems require users to announce carbohydrate intake and deliver meal boluses, as well as respond to system alarms. The use of AID devices both initially and over time may be influenced by a variety of psychological factors. Analysis of patient-related outcomes should be taken into account, while recruiting applicants for the systems who are motivated and have realistic expectations in order to prevent AID dropout. We report an up-to-date summary of the available measures and semi-structured interview content to assess AID expectations, acceptance, and satisfaction using the AID systems. In conclusion, we suggest, before and after starting using AID systems, performing a specific evaluation of the related psychological implications, using validated measures and semi-structured interviews, that allows diabetes care providers to tailor their education approach to the factors that concern the patient at that time; they can teach problem-solving skills and other behavioral strategies to support sustained use of the AID system.