Extending the human connectome project across ages: imaging protocols for the lifespan development and aging projects by Harms, MP, Somerville, LH, Ances, BM, Andersson, J, Barch, DM, Bastiani, M, Bookheimer, SY, Brown, TB, Buckner, RL, Burgess, GC, Coalson, TS, Chappell, MA, Dapretto, M, Douaud, GLA, Greve, DN, Hodge, C, Jamison, KW, Jbabdi, S, Kandala, S, Li, X, Mair, RW, Mangia, S, Marcus, D, Mascali, D, Moeller, S, Nichols, TEP, Robinson, EC, Salat, DH, Smith, SM, Sotiropoulos, SN, Terpstra, M, Thomas, KM, Tisdall, MD, Ugurbil, K, Van Der Kouwe, A, Woods, RP, Zöllei, L, Van Essen, DC, Yacoub, E

“…HCP-D is enrolling 1300 + healthy children, adolescents, and young adults (ages 5-21), and HCP-A is enrolling 1200 + healthy adults (ages 36-100+), with each study collecting longitudinal data in a subset of individuals at particular age ranges. …”

Risk of COVID-19 death in adults who received booster COVID-19 vaccinations in England by Ward, IL, Robertson, C, Agrawal, U, Patterson, L, Bradley, DT, Shi, T, de Lusignan, S, Hobbs, FDR, Sheikh, A, Nafilyan, V

“…We fitted cause-specific Cox models to examine the association between health conditions and the risk of COVID-19 death and all-other-cause death for adults aged 50-100-years in England vaccinated with a booster in autumn 2022. …”

External validation of the QCovid 2 and 3 risk prediction algorithms for risk of COVID-19 hospitalisation and mortality in adults: a national cohort study in Scotland by Kerr, S, Millington, T, Rudan, I, McCowan, C, Tibble, H, Jeffrey, K, Fagbamigbe, AF, Simpson, CR, Robertson, C, Hippisley-Cox, J, Sheikh, A

“…</p> <p><strong>Results:</strong> Our validation dataset comprised 465 058 individuals, aged 19–100. We found the following performance metrics (95% CIs) for QCovid 2 and 3: Harrell’s C 0.84 (0.82 to 0.86) for hospitalisation, and 0.92 (0.90 to 0.94) for death, observed-expected ratio of 0.24 for hospitalisation and 0.26 for death (ie, both the number of hospitalisations and the number of deaths were overestimated), and a Brier score of 0.0009 (0.00084 to 0.00096) for hospitalisation and 0.00036 (0.00032 to 0.0004) for death.…”

The study of Ni-Sn transient liquid phase bonded joints under high temperatures by Yan, Guangxu, Bhowmik, Ayan, Gill, Vincent, Gan, Chee Lip, Chen, Zhong

“…The joints aged for 50 h shear fractured mainly within the Ni3Sn2 IMCs, while the joints after aging for 100 h fractured mainly through the Ni3Sn IMCs.…”
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Mortality and adverse events associated with statin use in primary care patients with depression: a real-world, population-based cohort study by De Giorgi, R, De Crescenzo, F, Ostinelli, E, Cowen, P, Harmer, C, Fazel, S, Cipriani, A

“…We used electronic health records (QResearch database) of people aged 18–100 years with first-episode depression, registered with English primary care practices over January 1998–August 2020 for 12(+) months, divided into statin users versus non-users. …”

The prevalence of back and leg pain and the cross-sectional association with adverse health outcomes in community dwelling older adults in England by Williamson, E, Sanchez-Santos, M, Morris, A, Garret, AJ, Conway, O, Boniface, G, Fairbank, JCT, Lamb, S

“…</strong></p> A total of 5304 community-dwelling adults (aged 65–100 years) enrolled in the OPAL cohort study who provided data on BP and leg pain were included. …”

Mortality and adverse events associated with statin use in primary care patients with depression: a real-world, population-based cohort study by De Giorgi, R, De Crescenzo, F, Ostinelli, EG, Cowen, PJ, Harmer, CJ, Fazel, S, Cipriani, A

“…We used electronic health records (QResearch database) of people aged 18–100 years with first-episode depression, registered with English primary care practices over January 1998–August 2020 for 12(+) months, divided into statin users versus non-users. …”

Risk of COVID-19 related deaths for SARS-CoV-2 Omicron (B.1.1.529) compared with Delta (B.1.617.2) by Ward, IL, Bermingham, C, Ayoubkhani, D, Gethings, OJ, Pouwels, KB, Yates, T, Khunit, K, Hippisley-Cox, J, Banerjee, A, Walker, AS, Nafilyan, V

“…</p> <p><strong>Participants:</strong> 1,035,149 people aged 18-100 years who tested positive for SARS-CoV-2 in the national surveillance programme, and had an infection identified as either Omicron BA.1- or Delta compatible.…”

Risk of serious adverse events after primary shoulder replacement: development and external validation of a prediction model using linked national data from England and Denmark by Valsamis, EM, Jensen, ML, Coward, G, Sayers, A, Pinedo-Villanueva, R, Rasmussen, JV, Collins, GS, Rees, JL

“…<p><strong>Methods</strong></p> Linked data from the National Joint Registry, National Health Service Hospital Episode Statistics Admitted Patient Care of England, and Civil Registration Mortality databases and Danish Shoulder Arthroplasty Registry and National Patient Register were used for our modelling study. Patients aged 18–100 years who had a primary shoulder replacement between April 1, 2012, and Oct 2, 2020, in England, and April 1, 2012, and Oct 2, 2018, in Denmark, were included. …”

Predicting persistent back pain causing severe interference with daily activities among community-dwelling older adults: the OPAL cohort study by Williamson, E, Sanchez-Santos, MT, Fairbank, J, Wood, L, Lamb, SE

“…Methods: Participants were 2,109 community-dwelling adults (aged 65–100 years; mean age 74.2 (SD 6.3)) enrolled in a prospective cohort study who reported back pain at baseline and provided back pain data at 2 years follow-up. …”

Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study by Clift, AK, Coupland, CAC, Keogh, RH, Diaz-Ordaz, K, Williamson, E, Harrison, EM, Hayward, A, Hemingway, H, Horby, P, Mehta, N, Benger, J, Khunti, K, Spiegelhalter, D, Sheikh, A, Valabhji, J, Lyons, RA, Robson, J, Semple, MG, Kee, F, Johnson, P, Jebb, S, Williams, T, Hippisley-Cox, J

“…SETTING AND PARTICIPANTS:QResearch database, comprising 1205 general practices in England with linkage to covid-19 test results, Hospital Episode Statistics, and death registry data. 6.08 million adults aged 19-100 years were included in the derivation dataset and 2.17 million in the validation dataset. …”

Development and validation of QMortality risk prediction algorithm to estimate short term risk of death and assess frailty: cohort study by Hippisley-Cox, J, Coupland, C

“…Objectives To derive and validate a risk prediction equation to estimate the short term risk of death, and to develop a classification method for frailty based on risk of death and risk of unplanned hospital admission.Design Prospective open cohort study.Participants Routinely collected data from 1436 general practices contributing data to QResearch in England between 2012 and 2016. 1079 practices were used to develop the scores and a separate set of 357 practices to validate the scores. 1.47 million patients aged 65-100 years were in the derivation cohort and 0.50 million patients in the validation cohort.Methods Cox proportional hazards models in the derivation cohort were used to derive separate risk equations in men and women for evaluation of the risk of death at one year. …”

Real-world outcomes of concomitant antidepressant and statin use in primary care patients with depression: a population-based cohort study by De Giorgi, R, De Crescenzo, F, Cowen, PJ, Harmer, CJ, Cipriani, A

“…</p> <p><strong>Methods</strong> We conducted a population-based cohort study investigating QResearch primary care research database, which comprises the anonymised electronic healthcare records of 35 + million patients over 1574 English general practices. Patients aged 18–100 years, registered between January 1998 and August 2020, diagnosed with a new episode of depression, and commencing an antidepressant were included. …”

Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records by Rahimian, F, Khorshidi, G, Payberah, AH, Tran, J, Solares, JR, Raimondi, F, Nazarzadeh, N, Canoy, D, Rahimi, K

“…<strong>Methods and findings</strong> We used longitudinal data from linked electronic health records of 4.6 million patients aged 18–100 years from 389 practices across England between 1985 to 2015. …”

Risk prediction of covid-19 related death and hospital admission in adults after covid-19 vaccination: national prospective cohort study by Hippisley-Cox, J, Coupland, CA, Mehta, N, Keogh, RH, Diaz-Ordaz, K, Khunti, K, Lyons, RA, Kee, F, Sheikh, A, Rahman, S, Valabhji, J, Harrison, EM, Sellen, P, Haq, N, Semple, MG, Johnson, PWM, Hayward, A, Nguyen-Van-Tam, JS

“…</p> <p><strong>Settings</strong> Adults aged 19-100 years with one or two doses of covid-19 vaccination between 8 December 2020 and 15 June 2021.…”

Risk prediction of covid-19 related death or hospital admission in adults testing positive for SARS-CoV-2 infection during the omicron wave in England (QCOVID4): cohort study by Hippisley-Cox, J, Khunti, K, Sheikh, A, Nguyen-Van-Tam, JS, Coupland, CAC

“…</p> <p><strong>Participants:</strong>&nbsp;1.3 million adults in the derivation cohort and 0.15 million adults in the validation cohort, aged 18-100 years, with a positive test result for SARS-CoV-2 infection.…”