Search

Background: International research for acute myocardial infarction lacks comparisons of whole health systems. We assessed time trends for care and outcomes in Sweden and the UK. Methods: We used data from national registries on consecutive patients registered between 2004 and 2010 in all hospitals providing care for acute coronary syndrome in Sweden and the UK. The primary outcome was all-cause mortality 30 days after admission. We compared effectiveness of treatment by indirect casemix standardisation. This study is registered with ClinicalTrials.gov, number NCT01359033. Findings: We assessed data for 119 786 patients in Sweden and 391 077 in the UK. 30-day mortality was 7·6% (95% CI 7·4—7·7) in Sweden and 10·5% (10·4—10·6) in the UK. Mortality was higher in the UK in clinically relevant subgroups defined by troponin concentration, ST-segment elevation, age, sex, heart rate, systolic blood pressure, diabetes mellitus status, and smoking status. In Sweden, compared with the UK, there was earlier and more extensive uptake of primary percutaneous coronary intervention (59% vs 22%) and more frequent use of β blockers at discharge (89% vs 78%). After casemix standardisation the 30-day mortality ratio for UK versus Sweden was 1·37 (95% CI 1·30—1·45), which corresponds to 11 263 (95% CI 9620—12 827) excess deaths, but did decline over time (from 1·47, 95% CI 1·38—1·58 in 2004 to 1·20, 1·12—1·29 in 2010; p=0·01). Interpretation: We found clinically important differences between countries in acute myocardial infarction care and outcomes. International comparisons research might help to improve health systems and prevent deaths. [ABSTRACT FROM AUTHOR]

Introduction: For clinical decision-making, an estimate of remaining lifetime is needed to assess benefit against harm of a treatment during the remaining lifespan. Here, we describe how to predict life expectancy based on age, Charlson Comorbidity Index (CCI) and a Drug Comorbidity Index (DCI), whilst also considering potential future changes in CCI and DCI using population-based data on Swedish men.Methods: Simulations based on annual updates of vital status, CCI and DCI were used to estimate life expectancy at population level. The probabilities of these transitions were determined from generalised linear models using prostate cancer-free comparison men in PCBaSe Sweden. A simulation was performed for each combination of age, CCI, and DCI. Survival curves were created and compared to observed survival. Life expectancy was then calculated as the area under the simulated survival curve.Results: There was good agreement between observed and simulated survival curves for most ages and comorbidities, except for younger men. With increasing age and comorbidity, there was a decrease in life expectancy. Cross-validation based on six regions in Sweden also showed that simulated and observed survival was similar.Conclusion: Our proposed method provides an alternative statistical approach to estimate life expectancy at population level based on age and comorbidity assessed by routinely collected information on diagnoses and filled prescriptions available in nationwide health care registers. [ABSTRACT FROM AUTHOR]

Abstract: Background: The Prehospital Trauma Life Support (PHTLS) course has been widely implemented and approximately half a million prehospital caregivers in over 50 countries have taken this course. Still, the effect on injury outcome remains to be established. The objective of this study was to investigate the association between PHTLS training of ambulance crew members and the mortality in trauma patients. Methods: A population-based observational study of 2830 injured patients, who either died or were hospitalized for more than 24h, was performed during gradual implementation of PHTLS in Uppsala County in Sweden between 1998 and 2004. Prehospital patient records were linked to hospital-discharge records, cause-of-death records, and information on PHTLS training and the educational level of ambulance crews. The main outcome measure was death, on scene or in hospital. Results: Adjusting for multiple potential confounders, PHTLS training appeared to be associated with a reduction in mortality, but the precision of this estimate was poor (odds ratio, 0.71; 95% confidence interval, 0.42–1.19). The mortality risk was 4.7% (36/763) without PHTLS training and 4.5% (94/2067) with PHTLS training. The predicted absolute risk reduction is estimated to correspond to 0.5 lives saved annually per 100,000 population with PHTLS fully implemented. Conclusions: PHTLS training of ambulance crew members may be associated with reduced mortality in trauma patients, but the precision in this estimate was low due to the overall low mortality. While there may be a relative risk reduction, the predicted absolute risk reduction in this population was low. [Copyright &y& Elsevier]

Objectives: To quantify the ability of two new comorbidity indices to adjust for confounding, by benchmarking a target trial emulation against the randomized controlled trial (RCT) result., Study Design and Setting: Observational study including 18,316 men from Prostate Cancer data Base Sweden 5.0, diagnosed with prostate cancer between 2008 and 2019 and treated with primary radical prostatectomy (RP, n = 14,379) or radiotherapy (RT, n = 3,937). The effect on adjusted risk of death from any cause after adjustment for comorbidity by use of two new comorbidity indices, the multidimensional diagnosis-based comorbidity index and the drug comorbidity index, were compared to adjustment for the Charlson comorbidity index (CCI)., Results: Risk of death was higher after RT than RP (hazard ratio [HR] = 1.94; 95% confidence interval [CI]: 1.70-2.21). The difference decreased when adjusting for age, cancer characteristics, and CCI (HR = 1.32, 95% CI: 1.06-1.66). Adjustment for the two new comorbidity indices further attenuated the difference (HR 1.14, 95% CI 0.91-1.44). Emulation of a hypothetical pragmatic trial where also older men with any type of baseline comorbidity were included, largely confirmed these results (HR 1.10; 95% CI 0.95-1.26)., Conclusion: Adjustment for comorbidity using two new indices provided comparable risk of death from any cause in line with results of a RCT. Similar results were seen in a broader study population, more representative of clinical practice., Competing Interests: Declaration of competing interest There are no competing interests for any author., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Importance: It is uncertain to what extent watchful waiting (WW) in men with nonmetastatic prostate cancer (PCa) and a life expectancy of less than 10 years is associated with adverse consequences., Objective: To report transitions to androgen deprivation therapy (ADT), castration-resistant prostate cancer (CRPC), death from PCa, or death from other causes in men treated with a WW strategy., Design, Setting, and Participants: This nationwide, population-based cohort study included men with nonmetastatic PCa diagnosed since 2007 and registered in the National Prostate Cancer Register of Sweden with WW as the primary treatment strategy and with life expectancy less than 10 years. Life expectancy was calculated based on age, the Charlson Comorbidity Index (CCI), and a drug comorbidity index. Observed state transition models complemented observed data to extend follow-up to more than 20 years. Analyses were performed between 2022 and 2023., Exposure: Nonmetastatic PCa., Main Outcomes and Measures: Transitions to ADT, CRPC, death from PCa, and death from other causes were measured using state transition modeling., Results: The sample included 5234 men (median [IQR] age at diagnosis, 81 [79-84] years). After 5 years, 954 men with low-risk PCa (66.2%) and 740 with high-risk PCa (36.1%) were still alive and not receiving ADT. At 10 years, the corresponding proportions were 25.5% (n = 367) and 10.4% (n = 213), respectively. After 10 years, 59 men with low-risk PCa (4.1%) and 221 with high-risk PCa (10.8%) had transitioned to CRPC. Ten years after diagnosis, 1330 deaths in the low-risk group (92.3%) and 1724 in the high-risk group (84.1%) were from causes other than PCa., Conclusions and Relevance: These findings suggest that the WW management strategy is appropriate for minimizing adverse consequences of PCa in men with a baseline life expectancy of less than 10 years.

Objective: To examine associations between objective signs of progression (triggers) and transition from active surveillance (AS) to radical treatment for prostate cancer (PC)., Patients and Methods: This case-control study included men with low- or favourable intermediate-risk PC in the region of Halland, with data from The National Prostate Cancer Register (NPCR), Sweden, starting AS between 2008 and 2020. Cases were men who transitioned to radical treatment. For each case, 10 controls who remained in AS were selected without further matching. Triggers for transition to treatment were histopathological progression, magnetic resonance imaging (MRI) progression and increases in prostate-specific antigen (PSA) levels. We compared the probabilities for triggers between cases and controls, in 2008-2014 and 2015-2020, using logistic regression., Results: Amongst 846 men, we identified 98 cases in 2008-2014 and 172 cases in 2015-2020. Histopathological progression was associated with transition, most strongly in the later period (2008-2014: odds ratios [OR] 6.88, 95% confidence interval [CI] 3.69-12.80; and 2015-2020: OR 75.29, 95% CI 39.60-143.17). MRI progression was associated with transition in 2015-2020 (OR 6.38, 95% CI 2.70-15.06), whereas an increase in PSA was weakly associated with transition in the early period. The absence of triggers was associated with no transition (2008-2014: OR 0.24, 95% CI 0.15-0.40, and 2015-2020: OR 0.09, 95% CI 0.06-0.14). The probability of no trigger was 27% in cases 2015-2020., Conclusion: The increase in association between histopathological trigger and transition to treatment indicates increased quality of AS. Still, amongst men treated from 2015 to 2020, 27% transitioned without any trigger.

Assessment of comorbidity is crucial for confounding adjustment and prediction of mortality in register-based studies, but the commonly used Charlson comorbidity index is not sufficiently predictive. We aimed to develop a multidimensional diagnosis-based comorbidity index (MDCI) that captures comorbidity better than the Charlson Comorbidity index. The index was developed based on 286,688 men free of prostate cancer randomly selected from the Swedish general population, and validated in 54,539 men without and 68,357 men with prostate cancer. All ICD-10 codes from inpatient and outpatient discharges during 10 years prior to the index date were used to define variables indicating frequency of code occurrence, recency, and total duration of related hospital admissions. Penalized Cox regression was used to predict 10-year all-cause mortality. The MDCI predicted risk of death better than the Charlson comorbidity index, with a c-index of 0.756 (95% confidence interval [CI] = 0.751, 0.762) vs 0.688 (95% CI = 0.683, 0.693) in the validation cohort of men without prostate cancer. Men in the lowest vs highest MDCI quartile had distinctively different survival in the validation cohort of men with prostate cancer, with an overall hazard ratio [HR] of 5.08 (95% CI = 4.90, 5.26). This was also consistent within strata of age and Charlson comorbidity index, e.g. HR = 5.90 (95% CI = 4.65, 7.50) in men younger than 60 years with CCI 0. These results indicate that comorbidity assessment in register-based studies can be improved by use of all ICD-10 codes and taking related frequency, recency, and duration of hospital admissions into account., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Westerberg et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

We aimed to estimate the absolute and age-standardized number of hip fractures in Sweden during the past two decades to produce time trends and future projections. We used nationwide register data from 1998 to 2019 and a validated algorithm to calculate the annual absolute and age-standardized number of incident hip fractures over time. The total hip fracture burden was 335,399 incident events over the 22 years, with a change from 16,180 in 1998 to 13,929 in 2019, a 14% decrease. One decade after the index hip fracture event, 80% of the patients had died, and 11% had a new hip fracture. After considering the steady growth of the older population, the decline in the age-standardized number of hip fractures from 1998 through 2019 was 29.2% (95% CI 28.1-30.2%) in women and 29.3% (95% CI 27.5-30.7%) in men. With a continued similar reduction in hip fracture incidence, we can predict that 14,800 hip fractures will occur in 2034 and 12,000 in 2050 despite doubling the oldest old (≥ 80 years). Without an algorithm, a naïve estimate of the total number of hip fractures over the study period was 539,947, with a second 10-year hip fracture risk of 35%. We note an ongoing decline in the absolute and age-standardized actual number of hip fractures in Sweden, with consequences for future projections., (© 2024. The Author(s).)

Background: Randomised controlled trials have demonstrated prolonged survival with new upfront treatments in addition to standard androgen deprivation therapy (ADT) in men with de novo metastatic castration-sensitive prostate cancer. We describe patient characteristics, time trends and regional differences in uptake of these new treatment strategies in clinical practice., Material and Methods: This descriptive study consisted of men registered in the National Prostate Cancer Register of Sweden from 1 January 2018 to 31 March 2022 with de novo metastatic castration-sensitive prostate cancer defined by the presence of metastases on imaging at the time of diagnosis. Life expectancy was calculated based on age, Charlson Comorbidity Index and a Drug Comorbidity Index., Results: Within 6 months from diagnosis, 57% (1,677/2,959) of men with de novo metastatic castration-sensitive prostate cancer and more than 3 years of life expectancy had received docetaxel, abiraterone, enzalutamide, apalutamide and/or radiotherapy. Over time, there was a 2-fold increase in uptake of any added treatment, mainly driven by a 6-fold increase in use of abiraterone, enzalutamide or apalutamide, with little change in use of other treatments., Conclusions: Slightly more than half of men diagnosed with de novo metastatic castration-sensitive prostate cancer and a life expectancy of at least 3 years received additions to standard ADT as recommended by national guidelines in 2019-2022 in Sweden. There was a 2-fold increase in use of these treatments during the study period; however, efforts to further increase adherence to guidelines are warranted.

Importance: Recently, life-prolonging treatments for patients with advanced prostate cancer have been introduced in clinical practice., Objective: To investigate if the introduction of doublet therapy is associated with changes in survival on a population-basis., Design, Setting, and Participants: This nationwide population-based cohort study used data from the Prostate Cancer data Base Sweden from 2008 to 2020. Men registered with de novo metastatic castration-sensitive prostate cancer (mCSPC) were included., Exposure: The proportion of men with mCSPC who received doublet therapy, ie, androgen deprivation therapy plus androgen receptor pathway inhibitor drugs or chemotherapy was assessed., Main Outcomes and Measures: Standardized overall survival, taking age, comorbidity, and cancer characteristics into consideration, was estimated by use of a parametric survival model., Results: A total of 11 382 men were included in this study (median [IQR] age, 74.0 [68-81] years). There was a shift toward less advanced prostate cancer during the study period with a decrease in median (IQR) prostate-specific antigen at diagnosis in men with mCSPC from 145 (39-571) ng/mL to 107 (27-426) ng/mL. Upfront treatment with doublet therapy in these men simultaneously increased from 1% (7 of 991) in 2016 to 44% (402 of 922) in 2020. The adjusted 5-year overall survival increased from 26% (95% CI, 25%-28%) from 2008 to 2012 to 35% (95% CI, 31%-40%) from 2017 to 2020. During the first 5 years after diagnosis, there was an increase in mean survival of 6 months, from 2.7 (95% CI, 2.6-2.8) years from 2008 to 2012 to 3.2 (95% CI, 3.1-3.1) years from 2017 to 2020., Conclusions and Relevance: In parallel with improvements in treatment of advanced prostate cancer, a clinically meaningful increase in mean survival was observed in men with de novo mCSPC in Sweden between 2008 and 2020 in this study.

Background: Coronavirus disease 2019 (COVID-19) mRNA vaccines are associated with an increased risk of myocarditis using hospital discharge diagnoses as an outcome. The validity of these register-based diagnoses is uncertain., Methods: Patient records for subjects < 40 years of age and a diagnosis of myocarditis in the Swedish National Patient Register were manually reviewed. Brighton Collaboration diagnosis criteria for myocarditis were applied based on patient history, clinical examination, laboratory data, electrocardiograms, echocardiography, magnetic resonance imaging and myocardial biopsy. Poisson regression was used to estimate incidence rate ratios, comparing the register-based outcome variable to validated outcomes. Interrater reliability was assessed by a blinded re-evaluation., Results: Overall, 95.6% (327/342) of cases registered as myocarditis were confirmed (definite, probable or possible myocarditis according to Brighton Collaboration diagnosis criteria, positive predictive value 0.96 [95% CI 0.93-0.98]). Of the 4.4% (15/342) cases reclassified as no myocarditis or as insufficient information, two cases had been exposed to the COVID-19 vaccine no more than 28 days before the myocarditis diagnosis, two cases were exposed >28 days before admission and 11 cases were unexposed to the vaccine. The reclassification had only minor impact on incidence rate ratios for myocarditis following COVID-19 vaccination. In total, 51 cases were sampled for a blinded re-evaluation. Of the 30 randomly sampled cases initially classified as either definite or probably myocarditis, none were re-classified after re-evaluation. Of the in all 15 cases initially classified as no myocarditis or insufficient information, 7 were after re-evaluation re-classified as probable or possible myocarditis. This re-classification was mostly due to substantial variability in electrocardiogram interpretation., Conclusion: This validation of register-based diagnoses of myocarditis by manual patient record review confirmed the register diagnosis in 96% of cases and had high interrater reliability. Reclassification had only a minor impact on the incidence rate ratios for myocarditis following COVID-19 vaccination., Competing Interests: Dr Sundström reported participating in research funded by governmental agencies, universities, Astellas Pharma, Janssen Biotech, AstraZeneca, Pfizer, Roche, (then) Abbott Laboratories, (then) Schering-Plough, UCB Nordic and Sobi, with all funds paid to Karolinska Institutet, outside the submitted work. Dr Grünewald reported being involved in the European Medicines Agency regulatory assessment of Comirnaty; being previously employed at a drug development consultancy firm with cross-product responsibilities and being involved on a project for pertussis vaccines funded by Sanofi Pasteur, Merck Sharp & Dohme Corp, and GlaxoSmithKline at the Swedish Agency of Infectious Disease Control. Dr Ljung reported receiving grants from Sanofi Aventis paid to his institution outside the submitted work and receiving personal fees from Pfizer outside the submitted work., (© 2023 The Author(s). Published by Upsala Medical Society.)

Objectives: To evaluate the risks of any menstrual disturbance and bleeding following SARS-CoV-2 vaccination in women who are premenopausal or postmenopausal., Design: A nationwide, register based cohort study., Setting: All inpatient and specialised outpatient care in Sweden from 27 December 2020 to 28 February 2022. A subset covering primary care for 40% of the Swedish female population was also included., Participants: 2 946 448 Swedish women aged 12-74 years were included. Pregnant women, women living in nursing homes, and women with history of any menstruation or bleeding disorders, breast cancer, cancer of female genital organs, or who underwent a hysterectomy between 1 January 2015 and 26 December 2020 were excluded., Interventions: SARS-CoV-2 vaccination, by vaccine product (BNT162b2, mRNA-1273, or ChAdOx1 nCoV-19 (AZD1222)) and dose (unvaccinated and first, second, and third dose) over two time windows (one to seven days, considered the control period, and 8-90 days)., Main Outcome Measures: Healthcare contact (admission to hospital or visit) for menstrual disturbance or bleeding before or after menopause (diagnosed with the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes N91, N92, N93, N95)., Results: 2 580 007 (87.6%) of 2 946 448 women received at least one SARS-CoV-2 vaccination and 1 652 472 (64.0%) 2 580 007 of vaccinated women received three doses before the end of follow-up. The highest risks for bleeding in women who were postmenopausal were observed after the third dose, in the one to seven days risk window (hazard ratio 1.28 (95% confidence interval 1.01 to 1.62)) and in the 8-90 days risk window (1.25 (1.04 to 1.50)). The impact of adjustment for covariates was modest. Risk of postmenopausal bleeding suggested a 23-33% increased risk after 8-90 days with BNT162b2 and mRNA-1273 after the third dose, but the association with ChAdOx1 nCoV-19 was less clear. For menstrual disturbance or bleeding in women who were premenopausal, adjustment for covariates almost completely removed the weak associations noted in the crude analyses., Conclusions: Weak and inconsistent associations were observed between SARS-CoV-2 vaccination and healthcare contacts for bleeding in women who are postmenopausal, and even less evidence was recorded of an association for menstrual disturbance or bleeding in women who were premenopausal. These findings do not provide substantial support for a causal association between SARS-CoV-2 vaccination and healthcare contacts related to menstrual or bleeding disorders., Competing Interests: Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: MG reports personal fees from AstraZeneca, Gilead, GSK/ViiV, MSD, Biogen, Novocure, Amgen, Novo Nordisk, outside the submitted work. SL reports consulting for Scandinavian Biopharma and is an employee of AstraZeneca since 16 January 2023. The work in this article was performed before this employment commenced. FN reports prior employment at AstraZeneca until 2019, and ownership of some AstraZeneca shares. MB and YX declare no competing interests. AS reported participating in research funded by governmental agencies, universities, Astellas Pharma, Janssen Biotech, AstraZeneca, Pfizer, Roche, (then) Abbott Laboratories, (then) Schering-Plough, UCB Nordic, and Sobi, with all funds paid to Karolinska Institutet, outside of the submitted work. RL reported receiving grants from Sanofi Aventis paid to his institution outside the submitted work; and receiving personal fees from Pfizer outside of the submitted work., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: To study how handling missing data on M stage in a clinical cancer register affects estimates of incidence of metastatic prostate cancer., Study Design and Setting: Estimates of age-standardized incidence of metastatic prostate cancer were obtained by the use of data in a population-based clinical cancer register in Sweden and using four methods for imputation of missing M stage. Adjusted survival was used to compare men with known and imputed M stage., Results: The proportion of men with missing M stage was high (66%) and varied according to the risk group and over calendar time. The estimated incidence of metastatic disease varied depending on imputation method, with all methods indicating a decreasing incidence over time. A combination of deterministic imputation (DI) and multiple imputation (MI) produced adjusted survival curves for men with imputed M stage that best resembled the survival for men with known M stage., Conclusions: Plausible estimates of incidence of metastatic prostate cancer in clinical cancer registers can be obtained by the use of a combination of DI of missing M stage and MI., (Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)

Purpose: Studies of rare side effects of new drugs with limited exposure may require pooling of multiple data sources. Federated Analyses (FA) allow real-time, interactive, centralized statistical processing of individual-level data from different data sets without transfer of sensitive personal data., Methods: We review IT-architecture, legal considerations, and statistical methods in FA, based on a Swedish Medical Products Agency methodological development project., Results: In a review of all post-authorisation safety studies assessed by the EMA during 2019, 74% (20/27 studies) reported issues with lack of precision in spite of mean study periods of 9.3 years. FA could potentially improve precision in such studies. Depending on the statistical model, the federated approach can generate identical results to a standard analysis. FA may be particularly attractive for repeated collaborative projects where data is regularly updated. There are also important limitations. Detailed agreements between involved parties are strongly recommended to anticipate potential issues and conflicts, document a shared understanding of the project, and fully comply with legal obligations regarding ethics and data protection. FA do not remove the data harmonisation step, which remains essential and often cumbersome. Reliable support for technical integration with the local server architecture and security solutions is required. Common statistical methods are available, but adaptations may be required., Conclusions: Federated Analyses require competent and active involvement of all collaborating parties but have the potential to facilitate collaboration across institutional and national borders and improve the precision of postmarketing drug safety studies., (© 2022 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd.)

An inverse association between use of antiepileptic drugs (AEDs) and prostate cancer (PCa) has been suggested, putatively due to the histone deacetylases inhibitory (HDACi) properties of the AEDs. In a case-control study in Prostate Cancer data Base Sweden (PCBaSe), PCa cases diagnosed between 2014 and 2016 were matched to five controls by year of birth and county of residence. AED prescriptions were identified in the Prescribed Drug Registry. Odds ratios (ORs) and 95% confidence intervals for risk of PCa were estimated using multivariable conditional logistic regression, adjusted for civil status, education level, Charlson comorbidity index, number of outpatient visits, and cumulative duration of hospital stay. Dose responses in different PCa risk categories and HDACi properties of specific AED substances were further explored. 1738/31591 (5.5%) cases and 9674/156802 (6.2%) controls had been exposed to AED. Overall, users of any AED had a reduced risk of PCa as compared to nonusers (OR: 0.92; 95% CI: 0.87-0.97) which was attenuated by adjustment to healthcare utilisation. A reduced risk was also observed in all models for high-risk or metastatic PCa in AED users compared to nonusers (OR: 0.89; 95% CI: 0.81-0.97). No significant findings were observed for dose response or HDACi analyses. Our findings suggest a weak inverse association between AED use and PCa risk, which was attenuated by adjustment for healthcare utilisation. Moreover, our study showed no consistent dose-response pattern and no support for a stronger reduction related to HDAC inhibition. Further studies focusing on advanced PCa and PCa treatments are needed to better analyse the association between use of AED and risk of PCa., Competing Interests: Region Uppsala has, on behalf of NPCR, made agreements on quarterly reports from Patient-overview Prostate Cancer (part of NPCR) with Astellas, Sanofi, Janssen, and Bayer, as well as research projects with Astellas, Bayer, and Janssen. Rolf Gedeborg and Kristin Elf are employed by the Medical Products Agency (MPA) in Sweden. The other authors have no conflicts of interest., (Copyright © 2023 Gincy George et al.)

Androgen deprivation therapy (ADT) has been hypothesized to protect against COVID-19, but previous observational studies of men with prostate cancer on ADT have been inconsistent regarding mortality risk from coronavirus disease 2019 (COVID-19). Using data from the Prostate Cancer data Base Sweden (PCBaSe), we identified a cohort of 114 547 men with prevalent prostate cancer on the start of follow-up in February 2020, and followed them until 16 December 2020 to evaluate the association between ADT and time to test positive for COVID-19. Among men testing positive for COVID-19, we used regression analyses to estimate the association between ADT and risk of COVID-19-related hospital admission/death from any cause within 30 days of the positive test. In total, 1695 men with prostate cancer tested positive for COVID-19. In crude analyses, exposure to ADT was associated with a 3-fold increased risk of both testing positive for COVID-19 infection and subsequent hospital admission/death. Adjustment for age, comorbidity and prostate cancer risk category substantially attenuated the associations: HR 1.3 (95% CI: 1.1-1.5) for testing positive for COVID-19, and OR 1.4 (95% CI: 1.0-1.9) for risk of subsequent hospital admission/death. In conclusion, although these results suggest increased risks of a positive COVID-19 test, and COVID-19-related hospital admission/death in men on ADT, these findings are likely explained by confounding by old age, cancer-associated morbidity and other comorbidities being more prevalent in men on ADT, rather than a direct effect of the therapy., (© 2022 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)

Background: We aimed to optimize prediction of long-term all-cause mortality of intensive care unit (ICU) patients, using quantitative register-based comorbidity information assessed from hospital discharge diagnoses prior to intensive care treatment., Material and Methods: Adult ICU admissions during 2006 to 2012 in the Swedish intensive care register were followed for at least 4 years. The performance of quantitative comorbidity measures based on the 5-year history of number of hospital admissions, length of stay, and time since latest admission in 36 comorbidity categories was compared in time-to-event analyses with the Charlson comorbidity index (CCI) and the Simplified Acute Physiology Score (SAPS3)., Results: During a 7-year period, there were 230,056 ICU admissions and 62,225 deaths among 188,965 unique individuals. The time interval from the most recent hospital stays and total length of stay within each comorbidity category optimized mortality prediction and provided clear separation of risk categories also within strata of age and CCI, with hazard ratios (HRs) comparing lowest to highest quartile ranging from 1.17 (95% CI: 0.52-2.64) to 6.41 (95% CI: 5.19-7.92). Risk separation was also observed within SAPS deciles with HR ranging from 1.07 (95% CI: 0.83-1.38) to 3.58 (95% CI: 2.12-6.03)., Conclusion: Baseline comorbidity measures that included the time interval from the most recent hospital stay in 36 different comorbidity categories substantially improved long-term mortality prediction after ICU admission compared to the Charlson index and the SAPS score. Trial registration ClinicalTrials.gov ID NCT04109001, date of registration 2019-09-26 retrospectively., (© 2022. The Author(s).)