Key Points Question Do rates of opioid prescriptions dispensed after surgical procedures differ among countries? Findings In this cohort study, more than 70% of surgical patients in the United States and Canada filled opioid prescriptions after 4 surgical procedures compared with only 11% in Sweden. Of the 3 countries examined, the United States had the highest average dose of opioid prescriptions for most surgical procedures. Meaning There is very large variability in the use of opioids after surgery in different countries, suggesting the potential to reevaluate prescribing practices.

Background Surgical audit, sometimes including public reporting, is an important foundation of high quality health care. We aimed to assess the validity of a novel outcome metric, days at home up to 30 days after surgery , as a surgical outcome measure in clinical trials and quality assurance. Methods This was a multicentre, registry-based cohort study. We used prospectively collected hospital and national healthcare registry data obtained from patients aged 18 years or older undergoing a broad range of surgeries in Sweden over a 10-year period. The association between days at home up to 30 days after surgery and patient (older age, poorer physical status, comorbidity) and surgical (elective or non-elective, complexity, duration) risk factors, process of care outcomes (re-admissions, discharge destination), clinical outcomes (major complications, 30-day mortality) and death up to 1 year after surgery were measured. Findings From January, 2005, to December, 2014, we obtained demographic and perioperative data on 636,885 patients from 21 Swedish hospitals. Mortality at 30 days and one year was 1.8% and 7.3%, respectively. The median (IQR) days at home up to 30 days after surgery was 27 (23–29), being significantly lower among high-risk patients, those recovering from more complex surgical procedures, and suffering serious postoperative complications (all p < 0.0001). Patients with 8 days or less at home up to 30 days after surgery had a nearly 7-fold higher risk of death up to 1 year postoperatively when compared with those with 29 or 30 days at home (adjusted HR 6.78 [95% CI: 6.44–7.13]). Interpretation Days at home up to 30 days after surgery is a valid, easy to measure patient-centred outcome metric. It is highly sensitive to changes in surgical risk and impact of complications, and has prognostic importance; it is therefore a valuable endpoint for perioperative clinical trials and quality assurance. Funding Swedish National Research Council Medicine and Stockholm County Council ALF-project grant (LE), and the Australian National Health and Medical Research Council (PM).

Solid tumors are associated with an increased risk of suicide, however, there is limited detailed information on the risk of suicide in patients with hematological malignancies. Therefore, we conducted a population-based study including 47,220 patients with hematological malignancies (diagnosed 1992–2006) and their 235,868 matched controls to define the incidence and risk factors for suicide and suicide attempt. Information on suicides, suicide attempts, and preexisting psychiatric disorders was obtained from Swedish registers and individual medical records. There was a twofold increased (hazard ratio [HR] = 1.9, 95% confidence interval 1.5–2.3, P < 0.0001) risk of suicide/suicide attempt during the first 3 years after diagnosis in patients with hematological malignancies compared to matched controls. Of all hematological malignancies, multiple myeloma was associated with the highest risk (HR = 3.4; 2.3–5.0, P < 0.0001). Patients with a preexisting psychiatric disorder were at a very high risk of suicide and suicide attempt (HR = 23.3; 16.6–32.6, P < 0.0001), regardless of type of hematological malignancy. Among patients who committed suicide, 19% were in a palliative phase and 44% were in remission with no active treatment. In conclusion, the risk of suicide and suicide attempt is elevated in patients with hematological malignancies. Certain high-risk patients may benefit from early detection and preventive measures.

Invasive dental treatment is suggested to be associated with an increased risk for the development of cardiovascular events. We tested the hypothesis that the incidence of a first myocardial infarction (MI) within 4 wk after invasive dental treatments is increased. A registry-based case-control study within nationwide health care and population registries in Sweden was performed. The case patients included 51,880 individuals with a first fatal or nonfatal MI between January 2011 and December 2013. For each case, 5 control subjects, free from prior MI and matched for age, sex, and geographic area of residence, were randomly selected from the national population registry through risk set sampling with replacement, resulting in 246,978 control subjects. Information on dental treatments was obtained from the Dental Health Register, and the procedures were categorized into invasive dental treatments or other dental treatments. Conditional logistic regression was used to estimate odds ratios (ORs) for MI with corresponding 95% confidence intervals (CIs). In addition to the matching variables, adjustments were made for the following confounders: diabetes, previous cardiovascular disease (CVD), CVD drug treatment, education, and income. The mean age for case patients and controls subjects was 72.6 ± 13.0 y and 72.3 ± 13.0 y, respectively. Case patients more often had previous CVD (49% vs. 23%; P < 0.001) and diabetes (19% vs. 11%; P < 0.001) and received more treatment with CVD drugs (68% vs. 56%; P < 0.001) than control subjects. There was no association between invasive dental treatments during the 4 wk preceding the MI index date (crude OR = 0.99; 95% CI, 0.92 to 1.06; adjusted for confounders OR = 0.98; 95% CI, 0.91 to 1.06). This study did not support the hypothesis of an increased incidence of MI after recent invasive dental treatment.

ED patients rated as non-urgent by the triage nurse used more advice and healthcare information than PC patients, irrespective of the physician-rated urgency of the symptoms. The problem seems not to be lack of information about appropriate ED use, but to find ways to direct the information to the right target group.

Unscheduled visits to an emergency department (ED) or to primary care (PC) are often followed by further healthcare contacts. Present knowledge about predisposing factors and differences between healthcare levels is sparse. The objectives of this study were to describe and to analyze factors influencing subsequent healthcare contacts within 30 days following a non-urgent ED visit or an unscheduled visit in PC. In this prospective cohort study, subjects were identified and interviewed at the time of a non-urgent ED visit or unscheduled visits to PC. Data of all healthcare contacts during 1 month were collected. The probability of reattendance was analyzed regarding socio-demographic factors, previous and present health care utilization, the physicians' perceptions of the urgency of the visit, and appropriateness of its level of care. More than half of the patients in both settings had at least one contact with healthcare the following month. In 16% of the ED patients and 9% of PC patients, these contacts were to an ED. In the multivariate analysis, patients with regular monitoring of chronic disease were associated with an increased probability of having one or more physician visit the following month (OR 1.97 CI 95% 1.15-3.36). In conclusion, previous health care utilization was associated with an increased probability of one or more further physician visits the following month, regardless of the setting for the index visit or other patients characteristics. Physicians' perception of urgency did not influence the probability of further contacts.

ObjectiveAntipsychotics may increase serum prolactin, which has particularly been observed with risperidone. Further, hyperprolactinemia has been linked to osteoporosis‐related fractures. Therefore, we investigated fracture risk in a nationwide cohort exposed to antipsychotics.MethodsSwedish registers were used to identify adults with two consecutive dispensations of risperidone (n = 38 211), other atypical antipsychotics not including paliperidone (n = 60 691), or typical antipsychotics (n = 17 445) within three months between 2006 and 2013. An osteoporosis‐related fracture was defined as a non‐open hip/femur fracture in primary analyses. Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).ResultsRisperidone users were on average older (mean age of 68, 44, and 63 years for risperidone, other atypical antipsychotics, and typical antipsychotics respectively). Compared with other atypical antipsychotics, there was no association between risperidone and osteoporosis‐related fractures in the overall (HR = 1.04, CI: 0.91–1.19) or age‐stratified analyses. A significantly increased risk of typical antipsychotics (HR = 1.24, CI: 1.07–1.45) compared with other atypical antipsychotics remained for ages >45 years.ConclusionRisperidone does not appear to be associated with an increased risk of osteoporosis‐related fracture compared with other atypical antipsychotic agents as a group. For typical antipsychotics, a moderately elevated risk of hip fractures was noted compared with other atypical antipsychotics, possibly because of residual confounding.

Aim To investigate how sociodemographic factors relate to the risk of femur shaft fractures in children and how the relationship differs by gender and age. Methods Population‐based case–control study. Swedish children (n = 1,874), 0–14 years of age, with a femur shaft fracture diagnostic code occurring between 1997 and 2005 were selected from the Swedish national inpatient register and compared with matched controls (n = 18,740). Demographic, socio‐economic and injury data were based on record linkage between six Swedish registers. Results The risk of femur shaft fracture increased for children with younger parents or those living in low‐income households. Having a parent with a university education reduced the risk. Stratifying for gender and age group, the association between parents' age was evident only for older boys (7–14 years of age) (OR = 1.40; 95% CI 1.04–1.45), and the association between living in low‐income households and fracture rate was only seen in older girls (7–14 years) (OR = 1.50; 95% CI 1.01–2.22). Family composition, number of siblings, birth order or receiving social welfare did not influence the fracture risk. Conclusion Sociodemographic variables influence the rate of femur shaft fractures, in older children the influence differs between boys and girls.