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Patients with type 1 or type 2 diabetes in Sweden were studied to examine trends in mortality and cardiovascular disease incidence between 1998 and 2014. Both outcomes declined substantially, although fatal outcomes declined less among patients with type 2 diabetes than among controls. Diabetes mellitus is a complex and heterogeneous group of chronic metabolic diseases that are characterized by hyperglycemia. Type 1 diabetes occurs predominantly in young people (diagnosis at 30 years of age or younger) and is generally thought to be precipitated by an immune-associated destruction of insulin-producing pancreatic beta cells, leading to insulin deficiency and an absolute need for exogenous insulin replacement. 1 Type 2 diabetes is a progressive metabolic disease that is characterized by insulin resistance and eventual functional failure of pancreatic beta cells. 2 The prevalence of type 2 diabetes has been increasing dramatically over the past few decades, 3 with projections . . .

BackgroundMedical management of acute pain among hospital inpatients may be enhanced by mind-body interventions.ObjectiveWe hypothesized that a single, scripted session of mindfulness training focused on acceptance of pain or hypnotic suggestion focused on changing pain sensations through imagery would significantly reduce acute pain intensity and unpleasantness compared to a psychoeducation pain coping control. We also hypothesized that mindfulness and suggestion would produce significant improvements in secondary outcomes including relaxation, pleasant body sensations, anxiety, and desire for opioids, compared to the control condition.MethodsThis three-arm, parallel-group randomized controlled trial conducted at a university-based hospital examined the acute effects of 15-min psychosocial interventions (mindfulness, hypnotic suggestion, psychoeducation) on adult inpatients reporting “intolerable pain” or “inadequate pain control.” Participants (N = 244) were assigned to one of three intervention conditions: mindfulness (n = 86), suggestion (n = 73), or psychoeducation (n = 85).Key ResultsParticipants in the mind-body interventions reported significantly lower baseline-adjusted pain intensity post-intervention than those assigned to psychoeducation (p < 0.001, percentage pain reduction: mindfulness = 23%, suggestion = 29%, education = 9%), and lower baseline-adjusted pain unpleasantness (p < 0.001). Intervention conditions differed significantly with regard to relaxation (p < 0.001), pleasurable body sensations (p = 0.001), and desire for opioids (p = 0.015), but all three interventions were associated with a significant reduction in anxiety (p < 0.001).ConclusionsBrief, single-session mind-body interventions delivered by hospital social workers led to clinically significant improvements in pain and related outcomes, suggesting that such interventions may be useful adjuncts to medical pain management.Trial registrationTrial Registry: ClinicalTrials.gov; registration ID number: NCT02590029URL: https://clinicaltrials.gov/ct2/show/NCT02590029

This retrospective observational study conducted in Necker Hospital for Sick Children, France (January 2018–June 2020) evaluated a potential temporal association between admissions for suicide behaviours in children and adolescents and the national COVID-19 lockdown (March–May 2020). During the study period, 234 patients were admitted for suicide behaviours (28% male; mean age 13.4 years). Using Poisson regression, we found a significant decrease in the incidence of admissions for suicide behaviour during the lockdown (adjusted incidence rate ratio: 0.46; 95% CI 0.24 to 0.86). This association might result from reduced help-seeking and decreased hospital admission rates during the lockdown, as well as cognitive and environmental factors. Further multicentre studies should be conducted to confirm these findings and investigate whether a compensatory rise in admissions for suicide behaviour occurred in the postlockdown period.

Telemonitoring of symptoms and physiological signs has been suggested as a means of early detection of chronic obstructive pulmonary disease (COPD) exacerbations, with a view to instituting timely treatment. However, algorithms to identify exacerbations result in frequent false-positive results and increased workload. Machine learning, when applied to predictive modelling, can determine patterns of risk factors useful for improving prediction quality. Our objectives were to (1) establish whether machine learning techniques applied to telemonitoring datasets improve prediction of hospital admissions and decisions to start corticosteroids, and (2) determine whether the addition of weather data further improves such predictions. We used daily symptoms, physiological measures, and medication data, with baseline demography, COPD severity, quality of life, and hospital admissions from a pilot and large randomized controlled trial of telemonitoring in COPD. We linked weather data from the United Kingdom meteorological service. We used feature selection and extraction techniques for time series to construct up to 153 predictive patterns (features) from symptom, medication, and physiological measurements. We used the resulting variables to construct predictive models fitted to training sets of patients and compared them with common symptom-counting algorithms. We had a mean 363 days of telemonitoring data from 135 patients. The two most practical traditional score-counting algorithms, restricted to cases with complete data, resulted in area under the receiver operating characteristic curve (AUC) estimates of 0.60 (95% CI 0.51-0.69) and 0.58 (95% CI 0.50-0.67) for predicting admissions based on a single day's readings. However, in a real-world scenario allowing for missing data, with greater numbers of patient daily data and hospitalizations (N=57,150, N =55, respectively), the performance of all the traditional algorithms fell, including those based on 2 days' data. One of the most frequently used algorithms performed no better than chance. All considered machine learning models demonstrated significant improvements; the best machine learning algorithm based on 57,150 episodes resulted in an aggregated AUC of 0.74 (95% CI 0.67-0.80). Adding weather data measurements did not improve the predictive performance of the best model (AUC 0.74, 95% CI 0.69-0.79). To achieve an 80% true-positive rate (sensitivity), the traditional algorithms were associated with an 80% false-positive rate: our algorithm halved this rate to approximately 40% (specificity approximately 60%). The machine learning algorithm was moderately superior to the best symptom-counting algorithm (AUC 0.77, 95% CI 0.74-0.79 vs AUC 0.66, 95% CI 0.63-0.68) at predicting the need for corticosteroids. Early detection and management of COPD remains an important goal given its huge personal and economic costs. Machine learning approaches, which can be tailored to an individual's baseline profile and can learn from experience of the individual patient, are superior to existing predictive algorithms and show promise in achieving this goal. International Standard Randomized Controlled Trial Number ISRCTN96634935; http://www.isrctn.com/ISRCTN96634935 (Archived by WebCite at http://www.webcitation.org/722YkuhAz).

BackgroundOlfactory dysfunction has shown to accompany COVID-19. There are varying data regarding the exact frequency in the various study population. The outcome of the olfactory impairment is also not clearly defined.ObjectiveTo find the frequency of olfactory impairment and its outcome in hospitalized patients with positive swab test for COVID-19.MethodsThis is a prospective descriptive study of 100 hospitalized COVID-19 patients, randomly sampled, from February to March 2020. Demographics, comorbidities, and laboratory findings were analyzed according to the olfactory loss or sinonasal symptoms. The olfactory impairment and sinonasal symptoms were evaluated by 9 Likert scale questions asked from the patients.ResultsNinety-two patients completed the follow-up (means 20.1 (± 7.42) days). Twenty-two (23.91%) patients complained of olfactory loss and in 6 (6.52%) patients olfactory loss was the first symptom of the disease. The olfactory loss was reported to be completely resolved in all but one patient. Thirty-nine (42.39%) patients had notable sinonasal symptoms while rhinorrhea was the first symptom in 3 (3.26%). Fifteen patients (16.3%) had a taste impairment. Patients with sinonasal symptoms had a lower age (p = 0.01). There was no significant relation between olfactory loss and sinonasal symptoms (p = 0.07).ConclusionsSudden olfactory dysfunction and sinonasal symptoms have a considerable prevalence in patients with COVID-19. No significant association was noted between the sinonasal symptoms and the olfactory loss, which may suggest that other mechanisms beyond upper respiratory tract involvement are responsible for the olfactory loss.

Furosemide is the most commonly used loop diuretic in patients with heart failure (HF) despite data suggesting potential pharmacologic and antifibrotic benefits with torsemide. We investigated patients with HF in Acute Study of Clinical Effectiveness of Nesiritide in Decompensated Heart Failure who were discharged on either torsemide or furosemide. Using inverse probability weighting to account for the nonrandom selection of diuretic, we assessed the relation between choice of diuretic at discharge with 30-day mortality or HF hospitalization and 180-day mortality. Of 7,141 patients in the trial, 4,177 patients were included in this analysis, of which 87% (n = 3,620) received furosemide and 13% (n = 557) received torsemide. Torsemide-treated patients had lower ejection fraction and blood pressure and higher creatinine and natriuretic peptide level compared with furosemide. Torsemide was associated with similar outcomes on unadjusted analysis and nominally lower events on adjusted analysis (30-day mortality/HF hospitalization odds ratio 0.89, 95% CI 0.62 to 1.29, p = 0.55 and 180-day mortality hazard ratio 0.86, 95% CI 0.63 to 1.19, p = 0.37). In conclusion, these data are hypothesis-generating and randomized comparative effectiveness trials are needed to investigate the optimal diuretic choice. •Furosemide is the most commonly used loop diuretic in patients with heart failure despite data suggesting potential pharmacologic and antifibrotic benefits with torsemide.•In this large international acute heart failure trial, a minority of patients received torsemide and commonly had indicators of more severe disease.•After risk adjustment, torsemide was associated with a nonsignificant reduction in 30- and 180-day events.

The incidence of heart failure (HF) hospitalization and its impact on long-term outcomes have not been well evaluated in contemporary patients with ST-segment elevation myocardial infarction (STEMI) after primary percutaneous coronary intervention (PCI). The Coronary Revascularization Demonstrating Outcome Study in Kyoto Acute Myocardial Infarction (AMI) Registry is a multicenter registry enrolling 5,429 consecutive patients with AMI undergoing PCI from 2005 to 2007. The present study population consisted of 3,682 patients with STEMI who underwent primary PCI within 24 hours of symptom onset and discharged alive. The incidence of HF hospitalization was 4.4%/year during the first year after the index STEMI, which attenuated to approximately 1.0%/year beyond 1 year to 5 years with the median follow-up period of 1,956 days. The independent risk factors for HF hospitalization within 1 year included older age, previous myocardial infarction, HF at STEMI, left ventricular dysfunction, anterior AMI, and onset-to-balloon time >3 hours, use of β blocker, and nonuse of statin at discharge. By the landmark analysis at 1 year, the cumulative incidences of all-cause death and HF hospitalization beyond 1 year and up to 5 years were significantly higher in patients with HF hospitalization within 1 year of STEMI than in patients without (36.3% vs 10.1%, p <0.001, and 40.4% vs 4.3%, p <0.001, respectively). Even after adjusting for confounders, HF hospitalization within 1 year remained independently associated with a higher risk for death and HF hospitalization beyond 1 year (hazard ratio 1.64, 95% CI 1.02 to 2.52, p = 0.04 and HR 5.72, 95% CI 3.46 to 9.22, p <0.001, respectively). In conclusion, HF hospitalization within 1 year was independently associated with a higher risk for all-cause death and HF hospitalization beyond 1 year.

Angiotensin converting enzyme inhibitors (ACE-I), are beneficial both in heart failure with reduced ejection fraction (HF-REF) and after myocardial infarction (MI). We examined the effects of the angiotensin-receptor neprilysin inhibitor sacubitril/valsartan, compared with the ACE-I enalapril, on coronary outcomes in PARADIGM-HF. We examined the effect of sacubitril/valsartan compared with enalapril on the following outcomes: i) the primary composite endpoint of cardiovascular (CV) death or HF hospitalization, ii) a pre-defined broader composite including, in addition, MI, stroke, and resuscitated sudden death, and iii) a post hoc coronary composite of CV-death, non-fatal MI, angina hospitalization or coronary revascularization. At baseline, of 8399 patients, 3634 (43.3%) had a prior MI and 4796 (57.1%) had a history of any coronary artery disease. Among all patients, compared with enalapril, sacubitril/valsartan reduced the risk of the primary outcome (HR 0.80 [0.73–0.87], P<.001), the broader composite (HR 0.83 [0.76–0.90], P<.001) and the coronary composite (HR 0.83 [0.75–0.92], P<.001). Although each of the components of the coronary composite occurred less frequently in the sacubitril/valsartan group, compared with the enalapril group, only CV death was reduced significantly. Compared with enalapril, sacubitril/valsartan reduced the risk of both the primary endpoint and a coronary composite outcome in PARADIGM-HF. Additional studies on the effect of sacubitril/valsartan on atherothrombotic outcomes in high-risk patients are merited.

Poor adherence to evidence-based medications in heart failure (HF) is a major cause of avoidable hospitalizations, disability, and death. To test the feasibility of improving medication adherence, we performed a randomized proof-of-concept study of a self-management intervention in high-risk patients with HF. Patients with HF who screened positively for poor adherence (<6 Morisky Medication Adherence Scale 8-item) were randomized to either the intervention or attention control group. In the intervention group (n = 44), a nurse conducted self-management training before discharge that focused on identification of medication goals, facilitation of medication-symptom associations, and use of a symptom response plan. The attention control group (n = 42) received usual care; both groups received follow-up calls at 1 week. However, the content of follow-up calls for the attention control group was unrelated to HF medications or symptoms. General linear mixed models were used to evaluate the magnitude of change in adherence and symptom-related events at 3-, 6-, and 12-month follow-up clinic visits. Efficacy was measured as improved medication adherence using nurse-assessed pill counts at each time point. Pooled over all time points, patients in the intervention group were more likely to be adherent to medications compared with patients in the attention control group (odds ratio 3.92, t = 3.51, P = .0007). A nurse-delivered, self-care intervention improved medication adherence in patients with advanced HF. Further work is needed to examine whether this intervention can be sustained to improve clinical outcomes.

Atrial fibrillation (AF) is associated with an increased risk for adverse events in patients with heart failure with preserved ejection fraction (HFpEF), but it is currently unknown if gender differences in these outcomes exist. To explore this hypothesis, we examined gender differences in the associations of AF with adverse outcomes in 3,385 (mean age 69 ± 9.6 years, 49% male, 89% white) patients with HFpEF from the Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist Trial. Baseline AF cases were identified by self-reported history, medical record review, and baseline electrocardiogram data. Outcomes were adjudicated by a clinical end point committee and included the following: hospitalization, hospitalization for heart failure, stroke, death, and cardiovascular death. Cox regression was used to examine the risk of each outcome associated with AF. Over a median follow-up of 3.4 years, AF was associated with an increased risk for hospitalization (hazard ratio [HR] 1.49, 95% confidence interval [CI] 1.34 to 1.66), hospitalization for heart failure (HR 1.49, 95% CI 1.23 to 1.81), stroke (HR 2.10, 95% CI 1.43 to 2.09), death (HR 1.22, 95% CI 1.02 to 1.47), and cardiovascular death (HR 1.31, 95% CI 1.04 to 1.65). The association between AF and hospitalization was stronger in women (HR 1.63, 95% CI 1.40 to 1.91) than men (HR 1.37, 95% CI 1.18 to 1.58; p-interaction = 0.032). Although significant interactions were not observed for the other outcomes, we appreciated that the risk estimates were higher for women compared with men. In conclusion, AF increases the risk for adverse cardiovascular outcomes in patients with HFpEF, and the presence of this arrhythmia in women possibly is associated with a greater risk for adverse events than men.