Recent diabetes-related mortality trends in Romania

Enhanced Metabolic Control in a Pediatric Population with Type 1 Diabetes Mellitus Using Hybrid Closed-Loop and Predictive Low-Glucose Suspend Insulin Pump Treatments

BACKGROUND

Insulin pumps coupled with continuous glucose monitoring sensors use algorithms to analyze real-time blood glucose levels. This allows for the suspension of insulin administration before hypoglycemic thresholds are reached or for adaptive tuning in hybrid closed-loop systems. This longitudinal retrospective study aims to analyze real-world glycemic outcomes in a pediatric population transitioning to such devices.

METHODS

We evaluated children with type 1 diabetes mellitus (T1D) admitted to the Pediatric Diabetes Department from a major University Hospital in Bucharest, Romania, who transitioned to hybrid closed-loop or predictive low-glucose suspend system from either non-automated insulin pumps or multiple daily injections. The primary outcome was assessing the change in glycated hemoglobin (HbA1c) after initiating these devices. Secondary outcomes analyzed changes in glucose metrics from the 90 days prior to the baseline and follow-up visit.

RESULTS

51 children were included (58.8% girls), the mean age was 10.3 ± 3.7 years, and the mean follow-up duration was 13.2 ± 4.5 months. The analyzed parameters, such as HbA1c (6.9 ± 0.7% vs. 6.7 ± 0.6%, p = 0.023), time in range (69.3 ± 11.2% vs. 76 ± 9.9%, p < 0.001), time in tight range (47.4 ± 10.9% vs. 53.7 ± 10.7%, p < 0.001), time below range (5.6 ± 2.9% vs. 3.5 ± 1.9%, p < 0.001), time above range (25 ± 11.2% vs. 20.4 ± 9.4%, p = 0.001), and coefficient of variation (37.9 ± 4.8% vs. 35.6 ± 4.6%, p = 0.001), showed significant improvements.

CONCLUSIONS

The application of these sensor-integrated insulin pumps can significantly enhance metabolic control in pediatric populations, minimizing glycemic variations to mitigate complications and enrich the quality of life.

Life expectancy and survival analysis of patients with diabetes compared to the non diabetic population in Bulgaria

Aims

To evaluate the expected life expectancy in patients with diabetes in Bulgaria and to compare it to the expected life expectancy of the non-diabetic population in the country.

Methods

It is a retrospective observational population study on individuals diagnosed with diabetes, compared to the non-diabetic population in Bulgaria for the period 2012–2015. Data from the national diabetes register and national statistical institute were used to construct life-tables with probability of survival with t-test and Chi Square test. Confounder analysis was done by age, sex, and type of diabetes. All-cause mortality and deaths in diabetic patients were analyzed. Kaplan-Meier survival curves were constructed for each age group and a log-rank analysis was conducted.

Results

Average life expectancy in the non-diabetic population, patients with Type 1 DM and with Type 2 DM is 74.8; 70.96 and 75.19 years, respectively. For 2012–2015 the mortality in the non-diabetic population remained constant and lower (average—1.48%) compared to type-1 DM (5.25%) and Type-2 (4.27%). Relative risk of death in diabetics was higher overall (12%), after the age of 70 before which the relative risk was higher for the non-diabetic population. This was observed as a trend in all analyzed years.

Conclusion

Patients with type 2 DM have a longer life-expectancy than patients with type-1 DM and overall Diabetics life expectancy equals that of the non-diabetic population, which could suggest improved disease control and its associated complications in Bulgaria. Male diabetics show slightly longer life expectancy than their counterparts in the non-diabetic population, by a marginal gain of 0.6 years for the entire observed period. Life expectancy in diabetic women increased by 1.3 years, which was not observed in the non-diabetic population. Prevalence of diabetes was higher for women. Improved diabetes control may explain this gain in life; however other studies are needed to confirm this.

Acute Myocardial Infarction Mortality Rates and Trends in Romania between 1994 and 2017

Introduction: The current study aimed to assess recent acute myocardial infarction (AMI) mortality rates and trends in Romania between 1994 and 2017. This dataset is a necessity in the context of the current improvement of emergency protocols, medical addressability, and modernization of hospital infrastructure. Materials and Methods: The study is a retrospective analysis of an anonymized mortality database containing all deaths registered in Romania during 1994–2017. AMI crude mortality rates (CMR) and age-standardized mortality rates (ASMR) were calculated using the European Standard Population. Poisson regression was used for calculating the annual percentage change (APC) in mortality, subsequently used to make mortality predictions through the year 2030. Results: There were 197,152 AMI deaths in women (39.3% of total AMI), and 304,644 (60.7%) in men. Mortality rates were higher in men as compared with women for the entire time covered by the study. Based on the 1994–2017 ASMR dynamics, predictions for the year 2030 showed an overall AMI ASMR of 70.9 (95% CI 69.9–71.9), with gender analysis showing 46.8 (95% CI 45.8–47.9) in women and 104.1 (95% CI 102.3–105.8) in men. Conclusion: Acute myocardial infarction age-standardized mortality rates decreased significantly in Romania between 1994 and 2017 in close correlation to the implementation of national healthcare programs.

Stroke Mortality Rates and Trends in Romania, 1994-2017

BACKGROUND AND AIM

Romanian national level stroke mortality data is relatively scarce. The current study investigated stroke mortality rates and trends in Romania.

METHODS

All individual deaths registered in Romania during 1994-2017 were analyzed using an anonymized database, based on death certificates. Stroke crude mortality rates (CMR) and age-standardized mortality rates (ASMR) were calculated and expressed per 100,000 persons-year.

RESULTS

Between 1994 and 2017, 6,281,873 persons died in Romania, stroke being registered as the underlying cause of death in 959,319 cases. The overall stroke CMR was 188.2 (199.3 for women and 176.5 for men). The CMR for hemorrhagic stroke (HEMS) was 32.4 and for ischemic stroke (ISCS) 10.9. There was a significant decrease in stroke ASMR from 344.4 (95% confidence interval [CI] 343.4-345.4) in 1994 to 192.1 (95% CI 191.5-192.7) in 2017, with an annual percent change (APC) of 2.53% per year (95% CI 2.50-2.55, P < .001). Although compared with men, women had higher CMRs, when those rates were age-standardized men had higher ASMR as compared with women. The decline in HEMS ASMR had an APC of 4.65% per year (95% CI 4.59-4.70, P < .001). ISCS ASMR showed an initial increase in ASMR during 1994-2005, with APC 6.39% per year (95% CI 6.09-6.70, P < .001), followed by a significant decrease until 2017, with APC 2.83% per year (95% CI 2.59-3.07, P < .001).

CONCLUSION

There was a significant reduction in stroke ASMR during 1994-2017. The decline was slow until 2002 and became steeper after that, with significant differences in gender analysis.

Rates and Causes of Death among Adult Diabetes Patients in Romania

Aims: To study the age and sex-dependent mortality rates and causes of death in a large Romanian diabetes cohort as compared with the general population. Methods: All adult patients aged 20-64 years, receiving a free diabetes prescription in a major urban area during 2001-2008 were included and followed-up for death until December 31, 2011. Crude mortality rates and standardized mortality rate ratios (SMR) against general population (data from the National Institute of Statistics) were calculated. Years lost due to diabetes were computed assuming the general population mortality rates for ages below 20 and above 64 years. Results: During the 11 years study period, 49,328 diabetes patients (mean age at baseline 53.0 ± 8.8 years) contributed 297,370 person-years and 5,053 deaths. All cause mortality rates (per 1000 person years) increased with age and was 3.4 in 20-24 years age group and 25.7 in 60-64 year age group, while the corresponding SMR decreased from 6.0 to 1.5. Diabetes patients aged 20-24 years had a life expectancy of 48.6 years, which was 6.6 years less compared with the corresponding general population (55.2 years). The gap was 7.0 years in women and 5.8 years in men. Diabetes patients aged 20-24 years lost 196 minutes of life daily due to diabetes in women and 182 minutes in men. Conclusions: Mortality rates increased, while mortality rate ratios against general population decreased with age. Men had higher mortality rates, but women had higher mortality rate ratios in the gender analysis.