The current risk of infection in contemporary total knee arthroplasty (TKA) as well as the relative importance of risk factors remains under debate as a result of the rarity of the complication and temporal changes in the treatment and prevention of infection. We therefore determined infection incidence and risk factors after TKA in the Medicare population.

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Objective Cardiometabolic risk prediction algorithms are common in clinical practice. Young people with psychosis are at high risk for developing cardiometabolic disorders. We aimed to examine whether existing cardiometabolic risk prediction algorithms are suitable for young people with psychosis. Methods We conducted a systematic review and narrative synthesis of studies reporting the development and validation of cardiometabolic risk prediction algorithms for general or psychiatric populations. Furthermore, we used data from 505 participants with or at risk of psychosis at age 18 years in the ALSPAC birth cohort, to explore the performance of three algorithms (QDiabetes, QRISK3 and PRIMROSE) highlighted as potentially suitable. We repeated analyses after artificially increasing participant age to the mean age of the original algorithm studies to examine the impact of age on predictive performance. Results We screened 7820 results, including 110 studies. All algorithms were developed in relatively older participants, and most were at high risk of bias. Three studies (QDiabetes, QRISK3 and PRIMROSE) featured psychiatric predictors. Age was more strongly weighted than other risk factors in each algorithm. In our exploratory analysis, calibration plots for all three algorithms implied a consistent systematic underprediction of cardiometabolic risk in the younger sample. After increasing participant age, calibration plots were markedly improved. Conclusion Existing cardiometabolic risk prediction algorithms cannot be recommended for young people with or at risk of psychosis. Existing algorithms may underpredict risk in young people, even in the face of other high‐risk features. Recalibration of existing algorithms or a new tailored algorithm for the population is required.

BACKGROUNDIonizing radiation has been used since the 1950s to treat a variety of cancers. Cancer patients who are treated with radiotherapy have shown increased risks for a variety of second malignancies, including mesothelioma, in several recent reports. The only existing study of Hodgkin lymphoma (HL) and subsequent mesothelioma had a short observation period.METHODSThe authors used Surveillance, Epidemiology, and End Results data over a 30‐year period to identify patients with HL and non‐Hodgkin lymphoma (NHL) who also were diagnosed with mesothelioma. Standardized incidence ratios (SIR) and absolute excess risks were calculated by sex and treatment modality for both types of lymphoma.RESULTSTwenty‐six patients were identified who had mesothelioma as second primaries based on 21,881 diagnoses of HL and 101,001 diagnoses of NHL. There was a statistically significant increase in mesothelioma (4 diagnoses; SIR, 6.59; 95% confidence interval [95% CI], 1.79–16.87) among men with HL who received radiation, but no women survivors were identified who had a diagnosis of mesothelioma. For NHL survivors, there was a nonsignificant excess of mesothelioma among men (SIR, 1.91; 95% CI, 0.77–3.93) and women (SIR, 3.75; 95% CI, 0.77–10.95) who had received radiation treatment. There were no increases among patients who were unirradiated.CONCLUSIONSMesothelioma rates for patients who had received radiotherapy were increased for survivors of HL and NHL. No increases were observed among the unirradiated. These findings and the existing body of supporting studies confirmed that radiotherapy is a cause of mesothelioma. Cancer 2007. © 2007 American Cancer Society.