Clinical features, epidemiology, autoantibody status, HLA haplotypes and genetic mechanisms of type 1 diabetes mellitus among children in Qatar.

To describe the clinical features, epidemiology, autoantibody status, HLA haplotypes and genetic mechanisms of type 1 diabetes mellitus (T1DM). Patients (0-18 years) with diabetes were recruited. Clinical data was collected, autoantibodies and c-peptide were measured. Whole Genome Sequencing was performed. Genomic data analysis was compared with the known genes linked with T1DM and HLA alleles were studied. 1096 patients had one or more antibody positivity. The incidence of T1DM in 2020 was 38.05 per 100,000 children and prevalence was 249.73. GADA was the most common autoantibody followed by IAA. Variants in GSTCD, SKAP2, SLC9B1, BANK1 were most prevalent. An association of HLA haplotypes DQA1*03:01:01G (OR = 2.46, p value = 0.011) and DQB1*03:02:01G (OR = 2.43, p value = 0.022) was identified. The incidence of T1DM in Qatar is the fourth highest in the world, IA2 autoantibody was the most specific with some patients only having ZnT8 or IA2 autoantibodies thus underlining the necessity of profiling all 4 autoantibodies. The genes associated with T1DM in the Arab population were different from those that are common in the Caucasian population. HLA-DQ was enriched in the Qatari patients suggesting that it can be considered a major risk factor at an early age.

Epidemiology, genetic landscape and classification of childhood diabetes mellitus in the State of Qatar.

AIMS/INTRODUCTION: To study the epidemiology, genetic landscape and causes of childhood diabetes mellitus in the State of Qatar. MATERIALS AND METHODS: All patients (aged 0-18 years) with diabetes mellitus underwent biochemical, immunological and genetic testing. American Diabetes Association guidelines were used to classify types of diabetes mellitus. The incidence and prevalence of all the different types of diabetes mellitus were calculated. RESULTS: Total number of children with diabetes mellitus was 1,325 (type 1 n = 1,096, ≥1 antibody; type 2 n = 104, type 1B n = 53; maturity onset diabetes of the young n = 20; monogenic autoimmune n = 4; neonatal diabetes mellitus n = 10;, syndromic diabetes mellitus n = 23; and double diabetes mellitus n = 15). The incidence and prevalence of type 1 diabetes were 38.05 and 249.73 per 100,000, respectively, and for type 2 were 2.51 and 23.7 per 100,000, respectively. The incidence of neonatal diabetes mellitus was 34.4 per 1,000,000 live births, and in indigenous Qataris the incidence was 43.6 per 1,000,000 live births. The prevalence of type 1 diabetes and type 2 diabetes in Qatari children was double compared with other nationalities. The prevalence of maturity onset diabetes of the young in Qatar was 4.56 per 100,000. CONCLUSIONS: This is the first prospective and comprehensive study to document the epidemiology and genetic landscape of childhood diabetes mellitus in this region. Qatar has the fourth highest incidence of type 1 diabetes mellitus, with the incidence and prevalence being higher in Qatari compared with non-Qatari. The prevalence of type 2 diabetes mellitus is also higher in Qatar than in Western countries. The incidence of neonatal diabetes mellitus is the second highest in the world. GCK is the most common form of maturity onset diabetes of the young, and a large number of patients have type 1B diabetes mellitus.

The impact of a multifaceted intervention including sepsis electronic alert system and sepsis response team on the outcomes of patients with sepsis and septic shock.

BACKGROUND: Compliance with the clinical practice guidelines of sepsis management has been low. The objective of our study was to describe the results of implementing a multifaceted intervention including an electronic alert (e-alert) with a sepsis response team (SRT) on the outcome of patients with sepsis and septic shock presenting to the emergency department. METHODS: This was a pre-post two-phased implementation study that consisted of a pre-intervention phase (January 01, 2011-September 24, 2012), intervention phase I (multifaceted intervention including e-alert, from September 25, 2012-March 03, 2013) and intervention phase II when SRT was added (March 04, 2013-October 30, 2013) in a 900-bed tertiary-care academic hospital. We recorded baseline characteristics and processes of care in adult patients presenting with sepsis or septic shock. The primary outcome measures were hospital mortality. Secondary outcomes were the need for mechanical ventilation and length of stay in the intensive unit and in the hospital. RESULTS: After implementing the multifaceted intervention including e-alert and SRT, cases were identified with less severe clinical and laboratory abnormalities and the processes of care improved. When adjusted to propensity score, the interventions were associated with reduction in hospital mortality [for intervention phase II compared to pre-intervention: adjusted odds ratio (aOR) 0.71, 95% CI 0.58-0.85, p = 0.003], reduction in the need for mechanical ventilation (aOR 0.45, 95% CI 0.37-0.55, p < 0.0001) and reduction in ICU LOS and hospital LOS for all patients as well as ICU LOS for survivors. CONCLUSIONS: Implementing a multifaceted intervention including sepsis e-alert with SRT was associated with earlier identification of sepsis, increase in compliance with sepsis resuscitation bundle and reduction in the need for mechanical ventilation and reduction in hospital mortality and LOS.

Permissive Underfeeding or Standard Enteral Feeding in High- and Low-Nutritional-Risk Critically Ill Adults. Post Hoc Analysis of the PermiT Trial.

RATIONALE: The optimal nutritional strategy for critically ill adults at high nutritional risk is unclear. OBJECTIVES: To examine the effect of permissive underfeeding with full protein intake compared with standard feeding on 90-day mortality in patients with different baseline nutritional risk. METHODS: This is a post hoc analysis of the PermiT (Permissive Underfeeding versus Target Enteral Feeding in Adult Critically Ill Patients) trial. MEASUREMENTS AND MAIN RESULTS: Nutritional risk was categorized by the modified Nutrition Risk in Critically Ill score, with high nutritional risk defined as a score of 5-9 and low nutritional risk as a score of 0-4. Additional analyses were performed by categorizing patients by body mass index, prealbumin, transferrin, phosphate, urinary urea nitrogen, and nitrogen balance. Based on the Nutrition Risk in Critically Ill score, 378 of 894 (42.3%) patients were categorized as high nutritional risk and 516 of 894 (57.7%) as low nutritional risk. There was no association between feeding strategy and mortality in the two categories; adjusted odds ratio (aOR) of 0.84 (95% confidence interval [CI], 0.56-1.27) for high nutritional risk and 1.01 (95% CI, 0.64-1.61) for low nutritional risk (interaction P = 0.53). Findings were similar in analyses using other definitions, with the exception of prealbumin. The association of permissive underfeeding versus standard feeding and 90-day mortality differed when patients were categorized by baseline prealbumin level (≤0.10 g/L: aOR, 0.57 [95% CI, 0.31-1.05]; >0.10 and ≤0.15 g/L: aOR, 0.79 [95% CI, 0.42-1.48]; >0.15 g/L: aOR, 1.55 [95% CI, 0.80, 3.01]; interaction P = 0.009). CONCLUSIONS: Among patients with high and low nutritional risk, permissive underfeeding with full protein intake was associated with similar outcomes as standard feeding.

Multifaceted bundle interventions shown effective in reducing VAP rates in our multidisciplinary ICUs.

Ventilator associated pneumonia (VAP) remains a worldwide harm associated with hospital acquired infection. Our VAP rate at King Abdulaziz Medical City was 4.0 per 1 000 patient days at baseline. All regulatory bodies continue to emphasize the importance of reducing these infections and include a guideline of practice recommendations to address them, notably the VAP bundle by the Institute for Healthcare Improvement. Our baseline compliance was low and measured to be 83%; this was perceived as an opportunity to work on revising our interventions in the ICUs. An improvement team gathered in 2013, and following the "model of improvement" methodology, along with a sequence of parallel PDSAs, they were able to increase compliance with the care bundle and sustain it above 95% for more than one year. This translated in a decrease in the VAP rate from 4.0 to 0.8 in all different multidisciplinary ICUs.

The impact of implementing multifaceted interventions on the prevention of ventilator-associated pneumonia.

BACKGROUND: Ventilator-associated pneumonia (VAP) is a frequent hospital acquired infections among intensive care unit patients. The Institute for Healthcare Improvement has suggested a "care bundle" approach for the prevention of VAP. This report describes the effects of implementing this strategy on VAP rates. METHODS: All mechanically ventilated patients admitted to the intensive care unit between 2008 and 2013 were prospectively followed for VAP development according to the National Healthcare Safety Network criteria. In 2011, a 7-element care bundle was implemented, including head-of-bed elevation 30°-45°, daily sedation vacation and assessment for extubation, peptic ulcer disease prophylaxis, deep vein thrombosis prophylaxis, oral care with chlorhexidine, endotracheal intubation with in-line suction and subglottic suctioning, and maintenance of endotracheal tube cuff pressure at 20-30 mmHg. The bundle compliance and VAP rates were then followed. RESULTS: A total of 3665 patients received mechanical ventilation, and there were 9445 monitored observations for bundle compliance. The total bundle compliance before and after initiation of the VAP team was 90.7% and 94.2%, respectively (P < .001). The number of VAP episodes decreased from 144 during 2008-2010 to only 14 during 2011-2013 (P < .0001). The rate of VAP decreased from 8.6 per 1000 ventilator-days to 2.0 per 1000 ventilator-days (P < .0001) after implementation of the care bundle. CONCLUSIONS: This study suggests that systematic implementation of a multidisciplinary team approach can reduce the incidence of VAP. Further sustained improvement requires persistent vigilant inspections.

Characteristics, management and outcomes of critically ill patients who are 80 years and older: a retrospective comparative cohort study.

BACKGROUND: Older age is associated with chronic illnesses and disability, which contribute to increased admission to the intensive care unit (ICU). Our primary objective was to compare the characteristics, ICU management and outcomes of critically ill patients ≥ 80 year-old with those of younger patients. METHODS: This was a retrospective cohort study of patients admitted to a tertiary-care ICU from 1999 to 2011. The characteristics, ICU management and outcomes of patients ≥ 80 year-old were compared with those 50-64.9 and 65-79.9 year-old. Multivariate analysis was performed to determine the adjusted risk of Do-Not-Resuscitate orders and hospital mortality in patients ≥ 80 year-old compared with the younger groups. RESULTS: During the study period, patients aged ≥ 80 years (N = 748) represented 7.9% of all ICU admissions and 12.8% of patients aged ≥ 50 years. Chronic cardiac (32.2%) and respiratory (21.8%) diseases were more prevalent in them than the younger groups (p < 0.0001). The most common reasons for their ICU admission were cardiovascular (30.9%) and respiratory (40.4%) conditions. Sepsis was commonly present in them on admission (32.9%). Mechanical ventilation and renal replacement therapy were commonly provided (76.9% and 16.0%, respectively). During ICU stay, Do-Not-Resuscitate orders were more frequently written for patients aged ≥ 80 years (35.0%) compared with 21.9% for 50-64.9 year-old group, p < 0.0001, and 25.4% for the 60-79.9 year-old group, p < 0.0001. On multivariate analysis, patients aged ≥ 80 years were more likely to receive these order compared with the 50-64.9 year-old patients (adjusted OR, 1.83; 95% CI, 1.45-2.31) and the 65-80 year-old patients (adjusted OR, 1.64; 95% CI, 1.32-2.04). The hospital mortality increased gradually with age and was highest (54.6%) in patients ≥ 80 year-old (p < 0.0001). Patients ≥ 80 year-old had higher risk of hospital mortality compared with patients aged 50-64.9 years (adjusted OR, 2.16; 95% CI, 1.73-2.69) and with those aged 65-79.9 years (adjusted OR, 1.51; 95% CI, 1.23-1.86). CONCLUSIONS: Patients ≥ 80 year-old represented a significant proportion of ICU admissions. Although they received life sustaining measures similar to younger groups, they had higher adjusted mortality risk compared with the younger groups.