Exact(10)
Genetically characterised patients were identified as part of a longstanding programme of research into genetic and acquired forms of severe IR.
Moreover, no studies to date have elected to examine prediction of AHFS hospitalisation a priori in highly characterised patients in a number of centres.
Our study strengths include the large sampling frame, selection of participants from wide geographic areas, well characterised patients, standardised recruitment procedures and the use of a well validated instrument to measure functional status and well being.
What is really needed is a more systematic study of this important symptom in larger numbers of well characterised patients using validated ways of assessing the occurrence and impact of cough.
In this large study of well characterised patients with NSTE-ACS, the main finding was that OPG is robustly and independently associated with the 30 day and 1 year risk of cardiovascular mortality and hospitalisation for HF.
For example, Frank and Stollberg studied medical acupuncture in Germany and characterised patients as exhibiting passive rather than active consumerism: patients did evaluate the quality of their acupuncture, but neither sought information on nor compared different treatment options [ 29].
Similar(50)
300 301 There are numerous small, uncontrolled, retrospective studies in heterogeneous or poorly characterised patient populations.
The introduction of evidence-based practice, guidelines, performance measurements and feedback has characterised patient safety initiatives in hospitals during the last decade.
7 Han et al 7 have advocated the following process for selection of a COPD phenotype: identify a candidate phenotype, determine its relevance to clinical outcomes and then validate it with longitudinal data collection in carefully characterised patient groups.
This investment will require not only significant financial resourcing, but also appropriate infrastructure and collaborative working between investigators that care for carefully characterised patient and "HCV at-risk" cohorts, across national boundaries.
An initial analysis characterised patient status at different follow-up times (death from prostate cancer, death from other causes, alive with progression, alive without progression) in which censoring was done only if alive and progression free at last follow-up.
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