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Mortality rates among patients successfully treated for hepatitis C in the era of interferon-free antivirals: population based cohort study

Objectives To quantify mortality rates for patients successfully treated for hepatitis C in the era of interferon-free, direct acting antivirals and compare these rates with those of the general population.

Design Population based cohort study.

Setting British Columbia, Scotland, and England (England cohort consists of patients with cirrhosis only).

Participants 21 790 people who were successfully treated for hepatitis C in the era of interferon-free antivirals (2014-19). Participants were divided into three liver disease severity groups: people without cirrhosis (pre-cirrhosis), those with compensated cirrhosis, and those with end stage liver disease. Follow-up started 12 weeks after antiviral treatment completion and ended on date of death or 31 December 2019.

Main outcome measures Crude and age-sex standardised mortality rates, and standardised mortality ratio comparing the number of deaths with that of the general population, adjusting for age, sex, an ....

United Kingdom , William Irving , Data Access Request Service , Midlands Research Ethics Committee , Analysis Service , Research Foundation , National Cancer Registration , National Strategic Group For Viral , Services Plan , Behavioural Research Ethics Board , National Ambulatory Care Reporting System , Public Health Scotland , Privacy Public Benefit Panel For Health , Bc Vital Statistics Agency , Bc Vital Statistics Agency Death Registry , Tissue Data Access Committee , University Of British Columbia , Bc Centre For Disease , Gilead Sciences , Office For National Statistics , World Health Organization , Research United Kingdom England , British Columbia , Medical Services Plan , Discharge Abstracts Dataset , Statistics Agency Death ,

Report urges more data sharing between NHS and private healthcare

Report urges more data sharing between NHS and private healthcare
ukauthority.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from ukauthority.com Daily Mail and Mail on Sunday newspapers.

James Austin , Jon Fistein , Ian Paterson , Data Alignment Programme , Digital Data Access Request Service , Healthcare Information Network , Acute Data Alignment Programme , Private Healthcare Information Network , Data Access Request Service , Social Care Jeremy Hunt ,

Predicting major complications in patients undergoing laparoscopic and open hysterectomy for benign indications

Background: Hysterectomy, the most common gynecological operation, requires surgeons to counsel women about their operative risks. We aimed to develop and validate multivariable logistic regression models to predict major complications of laparoscopic or abdominal hysterectomy for benign conditions.

Methods: We obtained routinely collected health administrative data from the English National Health Service (NHS) from 2011 to 2018. We defined major complications based on core outcomes for postoperative complications including ureteric, gastrointestinal and vascular injury, and wound complications. We specified 11 predictors a priori. We used internal–external cross-validation to evaluate discrimination and calibration across 7 NHS regions in the development cohort. We validated the final models using data from an additional NHS region.

Results: We found that major complications occurred in 4.4% (3037/68 599) of laparoscopic and 4.9% (6201/125 971) of abdominal hysterecto ....

United Kingdom , United States , West Midlands , United Kingdom General , City Of , Khalid Khan , Silvia Fernandez Garcia , Borja Fernandez Felix , Krupa Madhvani , Beatriz Galindo , Javier Zamora , English National Health Service , Data Access Request Service , Classification Of Surgical Operations , Drug Administration , University Of Granada , National Institute For Health , Office Of Population Censuses , English National Health System , British Society For Gynaecological Endoscopy , Health Problems , National Health Service Digital , International Statistical Classification Of Diseases , Ministry Of Science , Episode Statistics , International Statistical Classification ,