Sentence examples for illness at baseline from inspiring English sources

Some of the studies included in their review excluded people with terminal illness at baseline, but not all did.

The predictors of poor psychosocial outcomes for women included being less than 55 years of age, being unemployed or retired, having poor psychosocial adjustment to illness at baseline, having readmission, or experiencing a stressful, personal event during follow-up.

As noted by Moore et al (2007), larger effect sizes have been reported in other analyses, but these were based on cross-sectional data or were not adjusted for factors such as cumulative cannabis use, presence of psychiatric illness at baseline, other concurrent drug use, or cannabis use at least once vs dependence (Arseneault et al, 2002; Henquet et al, 2005, Semple et al, 2005).

The higher rate of unfavourable 28-day outcome in patients with cirrhosis following CA and ROSC compared to critically ill patients with liver cirrhosis [3, 4, 33] may be explained mainly by the higher severity of illness at baseline in our cohort [4].

Also, it is possible that the lack of association between the receipt of corticosteroids and IRIS was due to confounding by indication, as IRIS has been associated with severity of underlying OI in some studies [5], [17], and subjects with more severe illness at baseline may have been more likely to have received corticosteroids.

Covariables include sex, age and severity of illness at baseline.

To determine prevalent long-standing illnesses at baseline and at Phase 9, participants were requested whether they had 'any longstanding illness, diseases or medical conditions for which [they] sought treatment in the last 12 months'.

In sensitivity analyses, adjustments were made for participants who reported musculoskeletal disorders, cancer and stroke/nervous system disorders as long-standing illnesses at baseline (13.2, 0.5 and 3.3%, respectively) and at follow-up (23.7, 1.4 and 4.1%, respectively).

In brief, a standardized case record form was used to record patient characteristics, baseline and sequential CD4 counts and plasma HIV RNA load (PVL), antimicrobial prophylaxis or treatment, antiretroviral therapy, occurrence of AIDS-defining opportunistic illnesses at baseline and during follow-up, pneumonia or other bacterial infections, and parasitic infections.

Illness variables at baseline and during the early course of the illness predicted outcome at 5 years, while insight scores and non-medical explanatory models later in the course of illness were associated with long-term outcome.

A patient's total number of symptoms at the time of seeking care proxied for illness severity at baseline.