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1.
Diabetes Metab Syndr ; 15(5): 102244, 2021.
Artículo en Inglés | MEDLINE | ID: covidwho-1356196

RESUMEN

BACKGROUND: We aim to provide a practical guidance on the use of intravenous insulin infusion for managing inpatient hyperglycemia. METHODS AND RESULTS: This document was formulated based on the review of available literature and personal experience of authors. We have used various case scenarios to illustrate variables which should be taken into account when deciding adjustments in infusion rate, including but not restricted to ambient blood glucose level and magnitude of blood glucose change in the previous hour. CONCLUSION: The guidance can be generalized to any situation where dedicated protocols are lacking, trained manpower is not available and resource constraints are present.


Asunto(s)
Hospitalización , Hiperglucemia/tratamiento farmacológico , Insulina/administración & dosificación , Glucemia/metabolismo , Control Glucémico/métodos , Control Glucémico/normas , Humanos , Hiperglucemia/sangre , Infusiones Intravenosas , Pacientes Internos , Guías de Práctica Clínica como Asunto
2.
Acta Diabetol ; 58(7): 919-927, 2021 Jul.
Artículo en Inglés | MEDLINE | ID: covidwho-1141430

RESUMEN

BACKGROUND: Since 2010, more than half of World population lives in Urban Environments. Urban Diabetes has arisen as a novel nosological entity in Medicine. Urbanization leads to the accrual of a number of factors increasing the vulnerability to diabetes mellitus and related diseases. Herein we report clinical-epidemiological data of the Milano Metropolitan Area in the contest of the Cities Changing Diabetes Program. Since the epidemiological picture was taken in January 2020, on the edge of COVID-19 outbreak in the Milano Metropolitan Area, a perspective addressing potential interactions between diabetes and obesity prevalence and COVID-19 outbreak, morbidity and mortality will be presented. To counteract lock-down isolation and, in general, social distancing a pilot study was conducted to assess the feasibility and efficacy of tele-monitoring via Flash Glucose control in a cohort of diabetic patients in ASST North Milano. METHODS: Data presented derive from 1. ISTAT (National Institute of Statistics of Italy), 2. Milano ATS web site (Health Agency of Metropolitan Milano Area), which entails five ASST (Health Agencies in the Territories). A pilot study was conducted in 65 screened diabetic patients (only 40 were enrolled in the study of those 36 were affected by type 2 diabetes and 4 were affected by type 1 diabetes) of ASST North Milano utilizing Flash Glucose Monitoring for 3 months (mean age 65 years, HbA1c 7,9%. Patients were subdivided in 3 groups using glycemic Variability Coefficient (VC): a. High risk, VC > 36, n. 8 patients; Intermediate risk 20 < VC < 36, n. 26 patients; Low risk VC < 20, n. 4 patients. The control group was constituted by 26 diabetic patients non utilizing Flash Glucose monitoring. RESULTS: In a total population of 3.227.264 (23% is over 65 y) there is an overall prevalence of 5.65% with a significant difference between Downtown ASST (5.31%) and peripheral ASST (ASST North Milano, 6.8%). Obesity and overweight account for a prevalence of 7.8% and 27.7%, respectively, in Milano Metropolitan Area. We found a linear relationship (R = 0.36) between prevalence of diabetes and aging index. Similarly, correlations between diabetes prevalence and both older people depending index and structural dependence index (R = 0.75 and R = 0.93, respectively), were found. A positive correlation (R = 0.46) with percent of unoccupied people and diabetes prevalence was also found. A reverse relationship between diabetes prevalence and University level instruction rate was finally identified (R = - 0.82). Our preliminary study demonstrated a reduction of Glycated Hemoglobin (p = 0.047) at 3 months follow-up during the lock-down period, indicating Flash Glucose Monitoring and remote control as a potential methodology for diabetes management during COVID-19 lock-down. HYPOTHESIS AND DISCUSSION: The increase in diabetes and obesity prevalence in Milano Metropolitan Area, which took place over 30 years, is related to several environmental factors. We hypothesize that some of those factors may have also determined the high incidence and virulence of COVID-19 in the Milano area. Health Agencies of Milano Metropolitan Area are presently taking care of diabetic patients facing the new challenge of maintaining sustainable diabetes care costs in light of an increase in urban population and of the new life-style. The COVID-19 pandemic will modify the management of diabetic and obese patients permanently, via the implementation of approaches that entail telemedicine technology. The pilot study conducted during the lock-down period indicates an improvement of glucose control utilizing a remote glucose control system in the Milano Metropolitan Area, suggesting a wider utilization of similar methodologies during the present "second wave" lock-down.


Asunto(s)
COVID-19/epidemiología , Diabetes Mellitus/terapia , Cuarentena , Telemedicina , Adulto , Anciano , Anciano de 80 o más Años , Automonitorización de la Glucosa Sanguínea/métodos , Automonitorización de la Glucosa Sanguínea/normas , Automonitorización de la Glucosa Sanguínea/estadística & datos numéricos , Control de Enfermedades Transmisibles , Diabetes Mellitus/sangre , Diabetes Mellitus/epidemiología , Femenino , Control Glucémico/métodos , Control Glucémico/psicología , Control Glucémico/normas , Control Glucémico/estadística & datos numéricos , Humanos , Incidencia , Italia/epidemiología , Masculino , Persona de Mediana Edad , Obesidad/epidemiología , Obesidad/terapia , Sobrepeso/epidemiología , Sobrepeso/terapia , Pandemias , Distanciamiento Físico , Proyectos Piloto , Prevalencia , Cuarentena/psicología , Cuarentena/estadística & datos numéricos , SARS-CoV-2/fisiología , Factores Socioeconómicos , Telemedicina/métodos , Telemedicina/organización & administración , Telemedicina/normas , Telemedicina/estadística & datos numéricos , Población Urbana
3.
Diabetes Res Clin Pract ; 173: 108682, 2021 Mar.
Artículo en Inglés | MEDLINE | ID: covidwho-1062309

RESUMEN

BACKGROUND: To minimize the spread of Coronavirus Disease-2019, Saudi Arabia imposed a nationwide lockdown for over 6 weeks. We examined the impact of lockdown on glycemic control in individuals with type 1 diabetes (T1D) using continuous glucose monitoring (CGM); and assessed whether changes in glycemic control differ between those who attended a telemedicine visit during lockdown versus those who did not. MATERIALS AND METHODS: Flash CGM data from 101 individuals with T1D were retrospectively evaluated. Participants were categorized into two groups: Attended a telemedicine visit during lockdown (n = 61) or did not attend (n = 40). Changes in CGM metrics from the last 2 weeks pre-lockdown period (Feb 25 - March 9, 2020) to the last 2 weeks of complete lockdown period (April 7-20, 2020) were examined in the two groups. RESULTS: Those who attended a telemedicine visit during the lockdown period had a significant improvement in the following CGM metrics by the end of lockdown: Average glucose (from 180 to 159 mg/dl, p < 0.01), glycemic management indicator (from 7.7 to 7.2%, p = 0.03), time in range (from 46 to 55%, p < 0.01), and time above range (from 48 to 35%, p < 0.01) without significant changes in time below range, number of daily scans or hypoglycemic events, and other indices. In contrast, there were no significant changes in any of the CGM metrics during lockdown in those who did not attend telemedicine. CONCLUSIONS: A six-week lockdown did not worsen, nor improve, glycemic control in individuals with T1D who did not attend a telemedicine visit. Whereas those who attended a telemedicine visit had a significant improvement in glycemic metrics; supporting the clinical effectiveness of telemedicine in diabetes care.


Asunto(s)
Glucemia/metabolismo , COVID-19/epidemiología , Control de Enfermedades Transmisibles , Diabetes Mellitus Tipo 1/sangre , Control Glucémico , Telemedicina , Adolescente , Adulto , Automonitorización de la Glucosa Sanguínea/métodos , Control de Enfermedades Transmisibles/métodos , Control de Enfermedades Transmisibles/estadística & datos numéricos , Diabetes Mellitus Tipo 1/tratamiento farmacológico , Diabetes Mellitus Tipo 1/epidemiología , Brotes de Enfermedades , Femenino , Control Glucémico/métodos , Control Glucémico/normas , Humanos , Hipoglucemiantes/uso terapéutico , Masculino , Evaluación de Programas y Proyectos de Salud , Cuarentena/métodos , Cuarentena/estadística & datos numéricos , Estudios Retrospectivos , SARS-CoV-2 , Arabia Saudita/epidemiología , Telemedicina/organización & administración , Telemedicina/estadística & datos numéricos , Adulto Joven
4.
Monaldi Arch Chest Dis ; 91(1)2021 Jan 25.
Artículo en Inglés | MEDLINE | ID: covidwho-1050664
5.
J Hum Lact ; 36(4): 723-738, 2020 Nov.
Artículo en Inglés | MEDLINE | ID: covidwho-740327

RESUMEN

BACKGROUND: Gestational diabetes mellitus is associated with adverse maternal and fetal outcomes and increases subsequent risk of Type 2 diabetes. Researchers have shown that breastfeeding may reduce diabetes risk in women with recent gestational diabetes. RESEARCH AIM: To assess association between infant feeding and postpartum glucose tolerance in mothers with recent gestational diabetes within 1 year postpartum. METHODS: A literature search was performed up to December 31, 2019, retrieving articles related to infant feeding, gestational diabetes, and postpartum glucose regulation in four major databases (PubMed, Cochrane, CINAHL, and Embase). Methodological quality was assessed using tools from the United States National Institutes of Health and the National Heart, Lung, and Blood Institute. RESULTS: The search yielded 15 cohort studies meeting the selection criteria. Of the 15 studies, 13 (86.7%) examined the influence of breastfeeding on postpartum glycemic status, and eight (53.4%) compared the mean blood glucose values between breastfeeding and non-breastfeeding participants. Of the 13 studies that compared postpartum glycemic status, nine (60%) of the research teams found that breastfeeding lowered rates of impaired glucose tolerance, and four (26.7%) showed no significant change. In eight of the studies reporting mean blood glucose values, six (75%) reported significantly lower fasting plasma glucose in breastfeeding participants, with reductions ranging from 3.7 to 7.4 mg/dL (0.2-0.4 mmol/L). CONCLUSION: Breastfeeding has been associated with improved postpartum glucose regulation in mothers with gestational diabetes. In pregnant women with gestational diabetes, breastfeeding may reduce the risk of Type 2 diabetes, and women with gestational diabetes should be strongly encouraged and supported to breastfeed.


Asunto(s)
Lactancia Materna/efectos adversos , Diabetes Gestacional/fisiopatología , Control Glucémico/normas , Periodo Posparto/metabolismo , Adulto , Glucemia/análisis , Lactancia Materna/métodos , Lactancia Materna/tendencias , Correlación de Datos , Diabetes Gestacional/epidemiología , Femenino , Control Glucémico/métodos , Humanos , Periodo Posparto/fisiología , Embarazo
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