L Jayakumar, R Jothi Chitra, J Sivasankari, S Vidhya, Laura Alimzhanova, Gulnur Kazbekova, Bakhytzhan Kulambayev, Alma Kostangeldinova, S Devi, Dawit Mamiru Teressa
QoS Analysis for Cloud-Based IoT Data Using Multicriteria-Based Optimization Approach
Computational intelligence and neuroscience
preexisting cardiovascular disease cvd cardiovascular risk factors associated increased risk complications following hospitalisation covid19 impact rate recovery following discharge known determine whether rate patientperceived recovery following hospitalisation covid19 affected presence cvd cardiovascular risk factors multicentre prospective cohort study patients recruited following discharge hospital covid19 undertaking two comprehensive assessments 5 months 12 months patients stratified presence either cvd cardiovascular risk factors prior hospitalisation covid19 compared controls neither full recovery determined response patientperceived evaluation full recovery covid19 context physical physiological cognitive determinants health total population 2545 patients 388 women 472 185 1355 532 cvd cardiovascular risk factors respectively compared controls n718 patients cvd cardiovascular risk factors older likely severe covid19 full recovery significantly lower 12 months patients cvd adjusted aor 062 95 ci 043 089 cardiovascular risk factors aor 066 95 ci 050 086 patients cvd cardiovascular risk factors delayed recovery 12 months following hospitalisation covid19 targeted interventions reduce impact covid19 patients cardiovascular disease remain unmet need isrctn10980107