Diagnoses and mortality in a population without acute myocardial infarction, but with elevated high-sensitive troponin I - a retrospective register-based single center study.

AIM: To explore, which differential diagnoses to consider in individuals with elevated troponins without acute myocardial infarction (AMI), and the mortality for those individuals. METHODS: Retrospective, register-based study on a representative sample of the Danish population with the following inclusion criteria: High-sensitive troponin I (hs-TnI) ⋝25 ng/L, age ⋝18 years, and exclusion of AMI. RESULTS: 3067 individuals without AMI but increased hs-TnI were included. Most frequent discharge diagnoses: Pneumonia (12.8%), Aortic valve disorder (11.3%), Medical observation (10.9%) and Heart failure (8.9%). The 30-days and one-year mortality was 15.8% and 32.0%, respectively. CONCLUSIONS: A selected number of alternative diagnoses must be considered in individuals with increased hs-TnI. Due to high mortality it is crucial to carefully evaluate these individuals despite the absence of AMI.

Hospitalized acute patients with fever and severe infection have lower mortality than patients with hypo- or normothermia: a follow-up study.

OBJECTIVES: Severe infection is a frequent cause of admission to an acute medical unit (AMU). However, not all infected patients present with fever. The aim was to assess differences in 30-day mortality among patients hospitalized with community-acquired severe infection presenting with hypothermia, normothermia or fever. METHODS: A retrospective single-center follow-up at an AMU from August 1, 2009 to August 31, 2011. Patients were included the first time they presented with severe infection within the study period. Temperature was categorized into hypothermia (<36.0ºC), normothermia (36.0ºC-38.0ºC) and fever (>38.0ºC). Severe infection was defined as a discharge diagnosis indicating infection combined with organ failure within the first 24 h after arrival. Multivariable Cox regression analysis was computed to assess the association between temperature and 30-day mortality. RESULTS: A total of 2128 patients with severe infection were included. 3.0% (N = 64) were hypothermic, 57.1% (N = 1216) normothermic and 39.9% (N = 848) had fever at arrival. Crude 30-day mortality was 16.1% (N = 342, 95%CI 14.5-17.7%); 37.5% (N = 24, 95% CI 25.7-50.5%) for hypothermic patients, 18.3% (N = 223, 95%CI 16.2-20.6%) for normothermic patients and 11.2% (N = 95, 95%CI 9.2-13.5%) for patients with fever. Compared to normothermic patients, the adjusted hazard ratio of 30-day mortality among hypothermic patients was 1.62 (95%CI 1.06-2.49) and 0.74 (95%CI 0.58-0.94) among patients with fever. CONCLUSIONS: Over half of the patients admitted to an AMU with severe infection were normothermic at arrival. Hypothermia was associated with an increased risk of short-term mortality, whereas patients with fever were associated with a lower risk compared to those with normothermia.

Initiation of glucose-lowering treatment decreases international normalized ratio levels among users of vitamin K antagonists: a self-controlled register study.

UNLABELLED: ESSENTIALS: It is not known if initiation of glucose-lowering drugs alters the efficacy of vitamin K antagonists (VKA). We examined if glucose-lowering drugs affected international normalized ratio (INR) in VKA-treated patients. Upon initiating glucose-lowering drugs, 51% of patients had INR values below the therapeutic window. Monitoring of INR levels should be intensified upon initiation of glucose-lowering drugs. BACKGROUND: It is not known whether initiation of antidiabetic treatment affects the effect of vitamin K antagonists (VKAs). It was previously shown that metformin affects the effect of one VKA, phenprocoumon. OBJECTIVES: The aim of this study was to determine if initiation of glucose-lowering treatment affects the international normalized ratio (INR) and dose requirements of the anticoagulant VKAs warfarin and phenprocoumon. PATIENTS/METHODS: We performed a self-controlled retrospective register-based study. A total of 118 patients commencing glucose-lowering treatment while being treated with warfarin or phenprocoumon were included in the study. We compared INR, dose/INR and proportion of patients with at least one sub-therapeutic INR measurement before and after initiation of glucose-lowering treatment. RESULTS: Initiation of glucose-lowering treatment caused mean INR to decrease from 2.5 to 2.2 (decrease of -0.3 [95% CI: -0.1; -0.5]) and led to more than half of the patients having at least one sub-therapeutic INR measurement. Six to 12 weeks later, the VKA dose/INR was increased by 11%, indicating a weakened effect of the VKA. CONCLUSION: Initiation of glucose-lowering treatment reduces the anticoagulant effect of VKAs to an extent that is likely to be clinically relevant. This finding needs confirmation and mechanistic explanation.

Readmissions of medical patients: an external validation of two existing prediction scores.

BACKGROUND: Hospital readmissions are increasingly used as a quality indicator with a belief that they are a marker of poor care and have led to financial penalties in UK and USA. Risk scoring systems, such as LACE and HOSPITAL, have been proposed as tools for identifying patients at high risk of readmission but have not been validated in international populations. AIM: To perform an external independent validation of the HOSPITAL and LACE scores. DESIGN: An unplanned secondary cohort study. METHODS: Patients admitted to the medical admission unit at the Hospital of South West Jutland (10/2008-2/2009; 2/2010-5/2010) and the Odense University Hospital (6/2009-8/2011) were analysed. Validation of the scores using 30 day readmissions as the endpoint was performed. RESULTS: A total of 19 277 patients fulfilled the inclusion criteria. Median age was 67 (range 18-107) years and 8977 (46.6%) were female. The LACE score had a discriminatory power of 0.648 with poor calibration and the HOSPITAL score had a discriminatory power of 0.661 with poor calibration. The HOSPITAL score was significantly better than the LACE score for identifying patients at risk of 30 day readmission (P < 0.001). The discriminatory power of both scores decreased with increasing age. CONCLUSION: Readmissions are a complex phenomenon with not only medical conditions contributing but also system, cultural and environmental factors exerting a significant influence. It is possible that the heterogeneity of the population and health care systems may prohibit the creation of a simple prediction tool that can be used internationally.