A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapy.

AIMS: This study aimed to identify and categorize the determinants influencing the intensification of therapy in Type 2 Diabetes (T2D) patients with suboptimal blood glucose control despite metformin monotherapy. METHODS: Employing the Logic Learning Machine (LLM), an advanced artificial intelligence system, we scrutinized electronic health records of 1.5 million patients treated in 271 diabetes clinics affiliated with the Italian Association of Medical Diabetologists from 2005 to 2019. Inclusion criteria comprised patients on metformin monotherapy with two consecutive mean HbA1c levels exceeding 7.0%. The cohort was divided into "inertia-NO" (20,067 patients with prompt intensification) and "inertia-YES" (13,029 patients without timely intensification). RESULTS: The LLM model demonstrated robust discriminatory ability among the two groups (ROC-AUC = 0.81, accuracy = 0.71, precision = 0.80, recall = 0.71, F1 score = 0.75). The main novelty of our results is indeed the identification of two main distinct subtypes of therapeutic inertia. The first exhibited a gradual but steady HbA1c increase, while the second featured a moderate, non-uniform rise with substantial fluctuations. CONCLUSIONS: Our analysis sheds light on the significant impact of HbA1c levels over time on therapeutic inertia in patients with T2D, emphasizing the importance of early intervention in the presence of specific HbA1c patterns.

Hospitalisation for herpes zoster in people with and without diabetes: A 10-year-observational study.

AIMS: This study explores the association between Herpes Zoster (HZ) hospitalizations and diabetes in Piedmont, Italy from 2010 to 2019. Focusing on the burden of HZ hospitalizations in diabetic and non-diabetic groups, it aims to identify risk factors in diabetics to enhance prevention strategies. METHODS: In a two-phase study, we first compared age-standardized HZ hospitalization rates between diabetic and non-diabetic individuals from 2010 to 2019. We then examined hospitalization risk factors for HZ within a diabetic patient cohort managed by regional diabetes clinics. RESULTS: Of 3,423 HZ hospitalizations in 2010-2019, 17.9 % (613 cases) were diabetic patients, who exhibited higher hospitalization rates (15.9 to 6.0 per 100,000) compared to non-diabetese individuals. Among diabetics subjects risk factors for HZ hospitalization included age over 65, obesity (BMI > 30), and poor glycemic control (HbA1c > 8.0 %). These patients had a 40 % increased rehospitalization risk and a 25 % higher risk of severe complications, such as stroke and myocardial infarction, post-HZ. CONCLUSIONS: Diabetes markedly increases HZ hospitalization rates, rehospitalization, and complication risks. These findings underscore the need for preventive strategies, especially improved glycemic control among high-risk diabetic patients, to inform public health policies and clinical practices aimed at mitigating HZ's impact on this population.

The legacy effect of hyperglycemia and early use of SGLT-2 inhibitors: a cohort study with newly-diagnosed people with type 2 diabetes.

Background: A delay in reaching HbA1c targets in patients with newly-diagnosed type 2 diabetes (T2D) is associated with an increased long-term risk of developing cardiovascular diseases (CVD), a phenomenon referred to as legacy effect. Whether an early introduction of glucose-lowering drugs with proven benefit on CVD can attenuate this phenomenon is unknown. Methods: Using data derived from a large Italian clinical registry, i.e. the AMD Annals, we identified 251,339 subjects with newly-diagnosed T2D and without CVD at baseline. Through Cox regressions adjusted for multiple risk factors, we examined the association between having a mean HbA1c between 7.1 and 8% or >8%, compared with ≤7%, for various periods of early exposure (0-1, 0-2, 0-3 years) and the development of later (mean subsequent follow-up 4.6 ± 2.9 years) CVD, evaluated as a composite of myocardial infarction, stroke, coronary or peripheral revascularization, and coronary or peripheral bypass. We performed this analysis in the overall cohort and then splitting the population in two groups of patients: those that introduced sodium-glucose transport protein 2 inhibitors (SGLT-2i) during the exposure phase and those not treated with these drugs. Findings: Considering the whole cohort, subjects with both a mean HbA1c between 7.1 and 8% and >8%, compared with patients attaining a mean HbA1c ≤ 7%, showed an increased risk of developing the outcome in all the three early exposure periods assessed, with the highest risk observed in patients with mean HbA1c > 8% in the 3 years exposure period (hazard ratio [HR]1.33; 95% confidence interval [CI] 1.063-1.365). The introduction of SGLT-2i during the exposure periods of 0-1 and 0-2 years eliminated the association between poor glycemic control and the outcome (p for interaction 0.006 and 0.003, respectively, vs. patients with the same degree of glycemic control but not treated with these drugs). Interpretation: Among patients with newly diagnosed T2D and free of CVD at baseline, a poor glycemic control in the first three years after diagnosis is associated with an increased subsequent risk of CVD. This association is no longer evident when SGLT-2i are introduced in the first two years, suggesting that these drugs attenuate the phenomenon of legacy effect. An early treatment with these drugs might thus promote a long-lasting benefit in patients not attaining proper glycemic control after T2D diagnosis. Funding: This work was supported, in part, by the Italian Ministry of Health (Ricerca Corrente) to IRCCS MultiMedica.

Achieving Good Metabolic Control Without Weight Gain with the Systematic Use of GLP-1-RAs and SGLT-2 Inhibitors in Type 2 Diabetes: A Machine-learning Projection Using Data from Clinical Practice.

PURPOSE: Recently, the 2022 American Diabetes Association and European Association for the Study of Diabetes (ADA-EASD) consensus report stressed the importance of weight control in the management of patients with type 2 diabetes; weight control should be a primary target of therapy. This retrospective analysis evaluated, through an artificial-intelligence (AI) projection of data from the AMD Annals database-a huge collection of most Italian diabetology medical records covering 15 years (2005-2019)-the potential effects of the extended use of sodium-glucose co-transporter 2 inhibitors (SGLT-2is) and of glucose-like peptide 1 receptor antagonists (GLP-1-RAs) on HbA1c and weight. METHODS: Data from 4,927,548 visits in 558,097 patients were retrospectively extracted using these exclusion criteria: type 1 diabetes, pregnancy, age >75 years, dialysis, and lack of data on HbA1c or weight. The analysis revealed late prescribing of SGLT-2is and GLP-1-RAs (innovative drugs), and considering a time frame of 4 years (2014-2017), a paradoxic greater percentage of combined-goal (HbA1c <7% and weight gain <2%) achievement was found with older drugs than with innovative drugs, demonstrating aspects of therapeutic inertia. Through a machine-learning AI technique, a "what-if" analysis was performed, using query models of two outcomes: (1) achievement of the combined goal at the visit subsequent to a hypothetical initial prescribing of an SGLT-2i or a GLP-1-RA, with and without insulin, selected according to the 2018 ADA-EASD diabetes recommendations; and (2) persistence of the combined goal for 18 months. The precision values of the two models were, respectively, sensitivity, 71.1 % and 69.8%, and specificity, 67% and 76%. FINDINGS: The first query of the AI analysis showed a great improvement in achievement of the combined goal: 38.8% with prescribing in clinical practice versus 66.5% with prescribing in the "what-if" simulation. Addressing persistence at 18 months after the initial achievement of the combined goal, the simulation showed a potential better performance of SGLT-2is and GLP-1-RAs with respect to each antidiabetic pharmacologic class or combination considered. IMPLICATIONS: AI appears potentially useful in the analysis of a great amount of data, such as that derived from the AMD Annals. In the present study, an LLM analysis revealed a great potential improvement in achieving metabolic targets with SGLT-2i and GLP-1-RA utilization. These results underscore the importance of early, timely, and extended use of these new drugs.

Hepatocellular carcinoma in a large cohort of type 2 diabetes patients.

AIMS: To elucidate the current burden of hepatocellular carcinoma (HCC) in type 2 diabetes (DM2) with a focus on the associated clinical determinants. METHODS: Incidence of HCC between 2009 and 2019 in the diabetic and general population was calculated from regional administrative and hospital databases. Potential determinants of the disease were evaluated with a follow-up study. RESULTS: In the DM2 population, the incidence resulted in 8.05 cases per 10,000 yearly. This rate was three times higher than that of the general population. 137,158 patients with DM2 and 902 HCC were found for the cohort study. The survival of HCC patients was 1/3 of that of cancer-free diabetic controls. Age, male sex, alcohol abuse, previous viral hepatitis B and C, cirrhosis, low platelet count, elevated GGT/ALT, higher BMI and HbA1c levels were associated with HCC occurrence. Diabetes therapy was not adversely associated with HCC development. CONCLUSION: Incidence of HCC in DM2 is more than tripled compared to the general population with high mortality. These figures are higher than those expected from the previous evidence. In parallel with known risk factors for liver disease, such as viruses and alcohol, insulin-resistance characteristics are associated with a higher probability of HCC.

Transparent machine learning suggests a key driver in the decision to start insulin therapy in individuals with type 2 diabetes.

AIMS: The objective of this study is to establish a predictive model using transparent machine learning (ML) to identify any drivers that characterize therapeutic inertia. METHODS: Data in the form of both descriptive and dynamic variables collected from electronic records of 1.5 million patients seen at clinics within the Italian Association of Medical Diabetologists between 2005-2019 were analyzed using logic learning machine (LLM), a "clear box" ML technique. Data were subjected to a first stage of modeling to allow ML to automatically select the most relevant factors related to inertia, and then four further modeling steps individuated key variables that discriminated the presence or absence of inertia. RESULTS: The LLM model revealed a key role for average glycated hemoglobin (HbA1c) threshold values correlated with the presence or absence of insulin therapeutic inertia with an accuracy of 0.79. The model indicated that a patient's dynamic rather than static glycemic profile has a greater effect on therapeutic inertia. Specifically, the difference in HbA1c between two consecutive visits, what we call the HbA1c gap, plays a crucial role. Namely, insulin therapeutic inertia is correlated with an HbA1c gap of <6.6 mmol/mol (0.6%), but not with an HbA1c gap of >11 mmol/mol (1.0%). CONCLUSIONS: The results reveal, for the first time, the interrelationship between a patient's glycemic trend defined by sequential HbA1c measurements and timely or delayed initiation of insulin therapy. The results further demonstrate that LLM can provide insight in support of evidence-based medicine using real world data.

Trends and cyclic variation in the incidence of childhood type 1 diabetes in two Italian regions over 33 years and during the COVID-19 pandemic.

AIM: There is conflicting evidence about the impact of the COVID-19 pandemic on the incidence of type 1 diabetes. Here, we analysed long-term trends in the incidence of type 1 diabetes in Italian children and adolescents from 1989 to 2019 and compared the incidence observed during the COVID-19 pandemic with that estimated from long-term data. MATERIALS AND METHODS: This was a population-based incidence study using longitudinal data from two diabetes registries in mainland Italy. Trends in the incidence of type 1 diabetes from 1 January 1989 to 31 December 2019 were estimated using Poisson and segmented regression models. RESULTS: There was a significant increasing trend in the incidence of type 1 diabetes of 3.6% per year [95% confidence interval (CI): 2.4-4.8] between 1989 and 2003, a breakpoint in 2003, and then a constant incidence until 2019 (0.5%, 95% CI: -1.3 to 2.4). There was a significant 4-year cycle in incidence over the entire study period. The rate observed in 2021 (26.7, 95% CI: 23.0-30.9) was significantly higher than expected (19.5, 95% CI: 17.6-21.4; p = .010). CONCLUSION: Long-term incidence analysis showed an unexpected increase in new cases of type 1 diabetes in 2021. The incidence of type 1 diabetes now needs continuous monitoring using population registries to understand better the impact of COVID-19 on new-onset type 1 diabetes in children.

Role of telemedicine during COVID-19 pandemic in type 2 diabetes outpatients: The AMD annals initiative.

AIMS: Telemedicine is advocated as a fundamental tool in modern clinical management. However, data on the effects of telemedicine vs face-to-face consultation on clinical outcomes in type 2 diabetes (T2DM) are still uncertain. This paper describes the use of telemedicine during the 2020 COVID-19 emergency and compares volume activity and quality indicators of diabetes care between face-to-face vs telemedicine counseling in the large cohort of T2DM patients from the AMD Annals Initiative. METHODS: Demographic and clinical characteristics, including laboratory parameters, rate of the screening of long-term complications, current therapies and the Q-score, a validated score that measures the overall quality of care, were compared between 364,898 patients attending face-to-face consultation and 46,424 on telemedicine, during the COVID-19 pandemic. RESULTS: Patients on telemedicine showed lower HbA1c levels (7.1 ± 1.2 % vs 7.3 ± 1.3 %, p < 0.0001), and they were less frequently treated with metformin, GLP1-RAs and SGLT2i and more frequently with DPP4i. The telemedicine group showed reduced monitoring of the various parameters considered as process indicators, especially, eye and foot examination. The proportion of patients with a good quality of care (Q score > 25) was higher among those receiving face-to-face consultation. Moreover, in the telemedicine group, all major clinical outcomes remained stable when further compared to those collected in the year 2019, when the same patients underwent a regular face-to-face consultation, suggesting that the care provided through telemedicine did not negatively affect the most important parameters. CONCLUSIONS: During the COVID-19 pandemic, telemedicine provided an acceptable quality of diabetes care, comparable to that of patients attending face-to-face consultation, although a less frequent screening of complications seems to have occurred in subjects consulted by telemedicine.

Hepatic fibrosis of any origin in a large population of type 2 diabetes patients.

BACKGROUND AND AIMS: Excess morbidity and mortality from chronic liver disease in type 2 diabetes (T2DM) is recognized; however, the clinical features associated with liver fibrosis (LF) of any origin are poorly known. Metabolic status and/or coexisting complications over time may play a role. METHODS AND RESULTS: We interrogated the database of the diabetes unit network of Piedmont (Italy) (71,285 T2DM patients) and calculated a fibrosis-4 score (FIB-4) from data recorded between 2006 and 2019. Comorbidities were obtained by linkage with hospital data. The study population was subdivided by aetiology of LF (alcoholic, viral, metabolic). Associations between upper level of FIB-4 and demographic and clinical variables were evaluated separately for each group using robust Poisson models and presented as prevalence ratios. Nearly one-quarter (24%) of T2DM patients had some form of LF: viral (0.44%) and alcoholic (0.53%) forms were far less frequent than metabolic ones (22.7%). Only 1 out of 5 of these patients had a history of known cirrhosis. Age, male sex, duration of diabetes, coronary disease, hyperuricemia, renal failure, and features of liver failure (e.g., lower body-mass index, lipid and HbA1c levels) were positively associated with metabolic LF. More intensive treatments with insulin and segretagogue emerged as a significant predictive indicators of LF of metabolic origin. CONCLUSION: A sizeable proportion of T2DM patients has some degree of LF, mainly of metabolic origin and often undiagnosed. There is a need to clarify whether the link between insulin therapy and advanced LF is causal or not.

From swab testing to health outcomes within the T2DM population: Impact of diabetes background on COVID19 progression.

BACKGROUND: We aimed to study the impact of diabetes background on COVID-19 progression from swab testing to health outcomes in type 2 diabetes (T2DM). METHODS: From the database of the diabetes units of Piedmont-Italy we extracted records of T2DM patients, which were linked with the swab-testing-database, and the database of hospital discharges. Five outcomes (PCR testing, PCR testing positivity, hospitalization, Intensive Care Unit (ICU), death) were evaluated using robust Poisson models. RESULTS: Among 125,021 T2DM patients, 1882 had a positive PCR test. Of these patients, 49.4% were hospitalized within 30 days, 11.8% were admitted to an ICU, and 27.1% died. Greater probability of death was associated with age, male sex, liver and renal impairment, Hba1c above 8%, and former smoking. Hospitalization and ICU admission were mainly affected by age, male sex, hypertension, and metabolic control. Notably, ICU admissions were reduced in very elderly people. No outcomes were associated with educational level. CONCLUSIONS: Hospitalization and ICU admission are heavily affected by age and local triage policy. A key finding was that men who were > 75 years old and poorly compensated were highly vulnerable patients. Renal and/or hepatic impairment are additional factors. This information may be useful for addressing intervention priorities.

Effects of linagliptin on left ventricular DYsfunction in patients with type 2 DiAbetes and concentric left ventricular geometry: results of the DYDA 2 trial.

AIMS: To evaluate the effect of linagliptin on left ventricular systolic function beyond glycaemic control in type 2 diabetes mellitus. METHODS AND RESULTS: A multicentre, randomised, double-blind, placebo controlled, parallel-group study, was performed (the DYDA 2 trial). Individuals with type 2 diabetes mellitus and asymptomatic impaired left ventricular systolic function were randomly allocated in a 1:1 ratio to receive for 48 weeks either linagliptin 5 mg daily or placebo, in addition to their diabetes therapy. Eligibility criteria were age 40 years and older, haemoglobin A1c 8.0% or less (≤64 mmol/mol), no history of cardiac disease, concentric left ventricular geometry (relative wall thickness ≥0.42), impaired left ventricular systolic function defined as midwall fractional shortening 15% or less at baseline echocardiography. The primary end point was the modification of midwall fractional shortening over time. The main secondary objectives were changes in diastolic and/or in longitudinal left ventricular systolic function as measured by tissue Doppler echocardiography. One hundred and eighty-eight patients were enrolled, predominantly men with typical insulin-resistance comorbidities. At baseline, mean midwall fractional shortening was 13.3%±2.5. At final evaluation, 88 linagliptin patients and 86 placebo patients were compared: midwall fractional shortening increased from 13.29 to 13.82 (+4.1%) in the linagliptin group, from 13.58 to 13.84 in the placebo group (+1.8%, analysis of covariance P = 0.86), corresponding to a 2.3-fold higher increase in linagliptin than the placebo group, although non-statistically significant. Also, changes in diastolic and longitudinal left ventricular systolic function did not differ between the groups. Serious adverse events or linagliptin/placebo permanent discontinuation occurred in very few cases and in the same percentage between the groups. CONCLUSIONS: In the DYDA 2 patients the addition of linagliptin to stable diabetes therapy was safe and provided a modest non-significant increase in left ventricular systolic function measured as midwall fractional shortening. TRIAL REGISTRATION NUMBER: ClinicalTrial.gov (ID NCT02851745).

Determinants of good metabolic control without weight gain in type 2 diabetes management: a machine learning analysis.

INTRODUCTION: The aim of this study was to investigate the factors (clinical, organizational or doctor-related) involved in a timely and effective achievement of metabolic control, with no weight gain, in type 2 diabetes. RESEARCH DESIGN AND METHODS: Overall, 5.5 million of Hab1c and corresponding weight were studied in the Associazione Medici Diabetologi Annals database (2005-2017 data from 1.5 million patients of the Italian diabetes clinics network). Logic learning machine, a specific type of machine learning technique, was used to extract and rank the most relevant variables and to create the best model underlying the achievement of HbA1c<7 and no weight gain. RESULTS: The combined goal was achieved in 37.5% of measurements. High HbA1c and fasting glucose values and slow drop of HbA1c have the greatest relevance and emerge as first, main, obstacles the doctor has to overcome. However, as a second line of negative factors, markers of insulin resistance, microvascular complications, years of observation and proxy of duration of disease appear to be important determinants. Quality of assistance provided by the clinic plays a positive role. Almost all the available oral agents are effective whereas insulin use shows positive impact on glucometabolism but negative on weight containment. We also tried to analyze the contribution of each component of the combined endpoint; we found that weight gain was less frequently the reason for not reaching the endpoint and that HbA1c and weight have different determinants. Of note, use of glucagon-like peptide-1 receptor agonists (GLP1-RA) and glifozins improves weight control. CONCLUSIONS: Treating diabetes as early as possible with the best quality of care, before beta-cell deterioration and microvascular complications occurrence, make it easier to compensate patients. This message is a warning against clinical inertia. All medications play a role in goal achievements but use of GLP1-RAs and glifozins contributes to overweight prevention.

Prescription of Sulphonylureas among Patients with Type 2 Diabetes Mellitus in Italy: Results from the Retrospective, Observational Multicentre Cross-Sectional SUSCIPE (Sulphonyl_UreaS_Correct_Internal_Prescription_Evaluation) Study.

INTRODUCTION: Recent guidelines for the treatment of type 2 diabetes mellitus (T2DM) provide evidence supporting limited use of sulphonylureas (SUs), especially in specific risk patient categories, yet data from national registries still suggest their widespread use. The aim of this study was to investigate characteristics of patients with diabetes treated with SUs and quantify the proportion of patients that met the recommendations for use of SUs by recent guidelines and of those presenting characteristics representing an inappropriate prescription risk (IPR). METHODS: A multicenter, retrospective, cross-sectional, observational study in patients with T2DM receiving treatment with SUs (as monotherapy or in combination with another diabetes therapy) was conducted between 2017 and 2018 in 22 outpatient diabetes clinics across Italy. Exclusion criteria were type 1 diabetes, diabetes mellitus secondary to other conditions, and presence of severe/life-threatening diseases. RESULTS: A total of 510 patients with T2DM (306 men, 204 women; mean age ± standard deviation 69.8 ± 9.3 years) who were receiving treatment with a SU (as monotherapy or in combination therapy) were assessed in the study. Overall, 70.6% [n = 360; 95% confidence interval (CI) 66.4%, 74.5%] were assessed to have an IPR. Of these, approximately half presented one factor for risk of inappropriate prescription, and 27 and 10.6% presented two and three factors, respectively. In terms of factors contributing to the total burden of risk of inappropriate treatment with SUs, 37.5% (95% CI 33.2%, 41.8%) of all patients were obese; 33.3% (95% CI 29.3%, 37.6%)] were aged ≥ 75 years; 18.6% (95% CI 15.3%, 22.3%) had a history of cardiovascular disease; 14.1% (95% CI 11.2%, 17.4%) had chronic renal insufficiency; 1.8% (95% CI 0.8%, 3.3%) had a history of severe hypoglycemia; 1.8% (95% CI 0.8%; 3.3%) had cognitive impairment; and 2.4% (95% CI 1.2%, 4.1%) had a risky occupation. CONCLUSIONS: The results of this study provide evidence of a high rate of inappropriate SU prescription risk among patients with T2DM, especially among those with overweight/obesity, older age, history of cardiovascular disease, and hypoglycemia.

Long-term blood pressure variability, incidence of hypertension and changes in renal function in type 2 diabetes.

OBJECTIVES: Long-term visit-to-visit SBP variability (VVV) predicts cerebro-cardiovascular and renal events in patients with hypertension. Whether VVV predicts hypertension and/or chronic kidney disease is currently unknown. We assessed the role of VVV on the development of hypertension and changes in renal function in patients with type 2 diabetes and normal blood pressure (NBP) in a real-life clinical setting. METHODS: Clinical records from 8998 patients with type 2 diabetes, NBP, and normal estimated glomerular filtration rate (eGFR) were analyzed. VVV was measured by SD of the mean SBP recorded in at least four visits during 2 consecutive years before follow-up. Hypertension was defined as SBP at least 140 mmHg and DBP at least 90 mmHg or the presence of antihypertensive treatment. Renal function was defined as worsening of albuminuria status and/or a reduction in eGFR at least 30% from baseline. RESULTS: After a mean follow-up time of 3.5 ±â€Š2.8 years, 3795 patients developed hypertension (12.1 per 100 person-years). An increase of 5 mmHg VVV was associated with a 19% (P < 0.0001) and a 5% (P = 0.008) independent increased risk of developing hypertension and worsening of albuminuria, respectively. We found no association between VVV and eGFR decrease from baseline. Patients with VVV in the upper quartile (>12.8 mmHg) showed a 50% increased risk of developing hypertension (P < 0.0001) and an almost 20% increased risk of worsening albuminuria (P = 0.004) as compared with those in the lower one (<6.9 mmHg). CONCLUSION: Increased VVV independently predicts incident hypertension and albuminuria worsening in type 2 diabetes and NBP.

Incidence of hospitalization and mortality in patients with diabetic foot regardless of amputation: a population study.

AIMS: The aim of our study was to estimate the overall rate of first hospitalizations for diabetic foot (DF) regardless of the outcome in amputations, as well as the mortality rate with their determinants in the period 2012-2016 in Piedmont Region in Italy. METHODS: The study included all the subjects registered in the Regional Diabetes Registry and alive as at January 1, 2012. DF cases were identified by record linkage with the regional hospital discharge database. Incident cases of diabetic foot were followed up for mortality. RESULTS: The 5-year rates were 1762, 324, and 343 × 100,000 patients for first hospitalization without amputations, with major amputations, and with minor amputations, respectively. Patients not undergoing amputations were more than 70% of the cohort. Patients with the more severe stages of diabetes and those with low education were at higher risk of each type of hospitalization. The risk of death during a mean follow-up of 2.5 years was about 16, 18, and 30% among patients without amputations, with major amputations, and with minor amputations, respectively. Males, insulin-treated patients, those affected with severe diabetes complications, particularly on dialysis, and those with lower levels of education were at higher risk. CONCLUSIONS: The heavier burden of DF on hospitalizations is due to cases without amputation, a condition that is seldom considered in the diabetes literature. The severity of diabetes, preexisting complications, and low educational levels are associated with both first hospitalization and subsequent survival at any level of severity of DF.