Decreased mortality with tight glycemic control in critically ill patients: a retrospective analysis in a large community hospital system.

OBJECTIVE: To measure the efficacy and possible adverse consequences of tight blood glucose (BG) control when compared to relaxed control. METHODS: A retrospective, observational study was conducted at a community-based teaching hospital system among adult, nonmaternity hospitalized patients admitted to the intensive care unit (ICU). Tight glycemic control of BG was compared with less strict BG control, and the following outcome measurements were compared: BG, average length of stay (ALOS), severe hypoglycemia, and mortality. RESULTS: Between 2008 and 2012, 18,919 patients were admitted to the ICU. The mortality rate was significantly lower (P = .0001) in patients with an average BG between 80 and 110 mg/dL (8%) and 111 and 140 mg/dL (9.4%) than in patients with average BG between 141 and 180 mg/dL (12.9%). Using tight glycemic control (80 to 110 mg/dL), the ALOS in the ICU decreased from 4 to 2.9 days (P<.0001) among all patients, and from 4.2 to 2.1 days (P<.0001) among patients who had undergone coronary artery bypass graft. Comparatively, the ALOS for the hospital decreased from 9.4 to 8 days. The incidence of severe hypoglycemia (BG <40 mg/dL) was higher (P = .01) in the tight BG control group (4.78%) compared with the relaxed control group (3.5%). This rate was lower than in previously published studies that analyzed the use of tight control. CONCLUSION: Tight glycemic control using protocolbased insulin administration resulted in a decrease in mortality and ALOS among all patients in the ICU. The incidence of severe hypoglycemic episodes was slightly higher in the tightly controlled group but remained lower than in previously published studies.

Concomitant Occurrence of Peripheral Neuropathy and Vision Loss Due to Multivitamin Deficiency After Bariatric Surgery.

Vitamin deficiencies, especially after Bariatric surgery, are common and, when not properly addressed, can lead to debilitating complications. Bariatric procedures, to variable degrees, alter the anatomy and physiology of the gastrointestinal; this alteration makes these patients more susceptible to developing nutritional deficiencies. Peripheral neuropathy is one of the complications that can arise from nutritional deficiencies, and it can cause severe functional impairment. Vision loss is a relatively uncommon complication after weight loss procedure. Changes in the retinal nerve fiber layer, choroidal thickness, and visual fields due to hypovitaminosis result in nutritional optic neuropathy and retinopathy. The main retinal complication is nyctalopia (night blindness), which is caused by vitamin A deficiency. We present a case of concomitant peripheral neuropathy and vision loss secondary to reduced levels of multiple vitamins following gastric bypass surgery. This case highlights the need for regular vitamin level monitoring and appropriate replenishment in patients after bariatric surgery to prevent significant morbidities.

Impact of Treatment with Direct Acting Antiviral Drugs on Glycemic Control in Patients with Hepatitis C and Diabetes Mellitus.

AIM: To assess the effect of treating chronic hepatitis C virus (HCV) infection with direct acting antiviral drugs (DAAs) on glycemic control in patients with concomitant diabetes mellitus (DM). METHODS: We performed a retrospective case-control study in a viral hepatitis ambulatory clinic in Shreveport, Louisiana, during the period 11/01/2014 to 12/31/2017. All the clinic patient ages 18 years and above with treatment-naïve/biopsy-proven chronic hepatitis C and DM (hemoglobin A1C level ≥ 6.5%) who were eligible for treatment were included in the study. Of 118 such patients, 59 were treated with oral DAAs for 8-12 weeks with the goal of achieving a sustained virologic response (SVR). A control group of 59 patients did not receive treatment for their hepatitis C and was followed in the clinic. Patients in the control group did not receive treatment either due to insurance issues or refusal of hepatitis C treatment. RESULTS: Fifty-five of the 59 patients treated with DAAs (93%) achieved a SVR. Six months after treatment completion, their mean ± SEM HbA1C level had decreased by 1.1 ± 0.03% (P < 0.0001). Four of the 59 patients treated with DAAs did not achieve a SVR. Their mean HbA1C 6 months after treatment completion had increased by 0.8 ± 0.2%. Furthermore, there was no improvement in HbA1C levels over time in the untreated group (mean HbA1C increase, 0.2 ± 0.05%; P < 0.0001 vs. the treatment group, which had a mean HbA1C decrease of 0.9 ± 0.2%). CONCLUSION: This controlled study demonstrated that treatment of chronic hepatitis C with DAAs results in statistically significant and meaningful reductions in hemoglobin A1C levels in patients with coexisting diabetic mellitus if a SVR is achieved.

A prediction model for COPD readmissions: catching up, catching our breath, and improving a national problem.

Frequent COPD exacerbations have a large impact on morbidity, mortality and health-care expenditures. By 2020, the World Health Organization expects COPD and COPD exacerbations to be the third leading cause of death world-wide. Furthermore, In 2005 it was estimated that COPD exacerbations cost the U.S. health-care system 38 billion dollars. Studies attempting to determine factors related to COPD readmissions are still very limited. Moreover, few have used a organized machine-learning, sensitivity analysis approach, such as a Random Forest (RF) statistical model, to analyze this problem. This study utilized the RF machine learning algorithm to determine factors that predict risk for multiple COPD exacerbations in a single year. This was a retrospective study with a data set of 106 patients. These patients were divided randomly into training (80%) and validating (20%) data-sets, 100 times, using approximately sixty variables intially, which in prior studies had been found to be associated with patient readmission for COPD exacerbation. In an interactive manner, an RF model was created using the training set and validated on the testing dataset. Mean area-under-curve (AUC) statistics, sensitivity, specificity, and negative/positive predictive values (NPV, PPV) were calculated for the 100 runs. THE FOLLOWING VARIABLES WERE FOUND TO BE IMPORTANT PREDICTORS OF PATIENTS HAVING AT LEAST TWO COPD EXACERBATIONS WITHIN ONE YEAR: employment, body mass index, number of previous surgeries, administration of azithromycin/ceftriaxone/moxifloxacin, and admission albumin level. The mean AUC was 0.72, sensitivity of 0.75, specificity of 0.56, PPV of 0.7 and NPV of 0.63. Histograms were used to confirm consistent accuracy. The RF design has consistently demonstrated encouraging results. We expect to validate our results on new patient groups and improve accuracy by increasing our training dataset. We hope that identifying patients at risk for frequent readmissions will improve patient outcome and save valuable hospital resources.