Objectives This study aimed to identify factors associated with the onset time of diabetic complications in patients with type 2 diabetes mellitus (T2DM) and determine the best-fitted survival model. Methods: A retrospective cohort study was conducted among T2DM patients enrolled from October 1, 2016 to July 15, 2020 at the National Health Security Office (NHSO). In total, 388 T2DM patients were included. Cox proportional-hazard and parametric models were used to identify factors related to the onset time of diabetic complications. The Akaike information criterion, Bayesian information criterion, and Cox-Snell residual were compared to determine the best-fitted survival model. Results: Thirty diabetic complication events were detected among the 388 patients (7.7%). A 90% survival rate for the onset time of diabetic complications was found at 33 months after the first T2DM diagnosis. According to multivariate analysis, a duration of T2DM ≥42 months (time ratio [TR], 0.56; 95% confidence interval [CI], 0.33–0.96; p=0.034), comorbid hypertension (TR, 0.30; 95% CI, 0.15–0.60; p=0.001), mildly to moderately reduced levels of the estimated glomerular filtration rate (eGFR) (TR, 0.43; 95% CI, 0.24–0.75; p=0.003) and an eGFR that was severely reduced or indicative of kidney failure (TR, 0.38; 95% CI, 0.16–0.88; p=0.025) were significantly associated with the onset time of diabetic complications (p<0.05). Conclusion: Patients with T2DM durations of more than 42 months, comorbid hypertension, and decreased eGFR were at risk of developing diabetic complications. The NHSO should be aware of these factors to establish a policy to prevent diabetic complications after the diagnosis of T2DM.
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<title>Objectives</title>
<p>The purpose of this study was to analyze the characteristics and factors affecting the survival of inpatients admitted following a suicide attempt.</p></sec>
<sec>
<title>Methods</title>
<p>A total of 3,095 cases retrieved from the Korean National Hospital Discharge In-depth Injury Survey data (from 2011 to 2015) were grouped according to survival and death and analyzed using descriptive statistics chi-square and logistic regression analysis.</p></sec>
<sec>
<title>Results</title>
<p>The following factors had statistically significant risks on reducing survival: female (OR = 2.352, <italic>p</italic> < 0.001), 40–59 years old (OR = 0.606, <italic>p</italic> = 0.014), over 60 years old (OR = 0.186, <italic>p</italic> < 0.001), poisoning (OR = 0.474, <italic>p</italic> = 0.009), hanging (OR = 0.031, <italic>p</italic> < 0.001), jumping (OR = 0.144, <italic>p</italic> < 0.001), conflicts with family (OR = 2.851, <italic>p</italic> < 0.001), physical diseases (OR = 1.687, <italic>p</italic> = 0.046), mental health problems (OR = 2.693, <italic>p</italic> < 0.001), financial problems (OR = 3.314, <italic>p</italic> = 0.002), 2014 (OR = 2.498, <italic>p</italic> = < 0.001) and 2015 (OR = 2.942, <italic>p</italic> = 0.005).</p></sec>
<sec>
<title>Conclusion</title>
<p>The survival group that had a history of attempted suicide (high-risk suicide group), should be further characterized. It is necessary to identify the suicide methods and risk factors for suicide prevention management policies and to continuously expand the management policy according to these characteristics.</p></sec>
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