Sentence examples for score length from inspiring English sources

Exact(49)

Among the 3 groups, no significant differences were present in Glasgow Coma Scale score, length of coma, or time since brain injury.

Analysis of variance and chi-square analyses revealed statistically significant associations between the incidence of fecal incontinence at rehabilitation admission and admission GCS score, length of coma and PTA, LOS, and incidence of UTI and frontal contusion.

Fecal incontinence at rehabilitation discharge was significantly associated with several variables, including age, discharge disposition, admission GCS score, length of coma, PTA, LOS, FIM scores, and incidence of pelvic fracture and frontal contusion.

Significant associations were also found between fecal incontinence at 1-year follow-up and age, discharge and current 1-year disposition, admission GCS score, length of coma, LOS, FIM scores, and incidence of UTI (P[lt ].05).

Main Outcome Measures: Incidence of fecal incontinence, length of coma, length of posttraumatic amnesia (PTA), admission Glasgow Coma Scale (GCS) score, length of stay (LOS), FIM[trade ] instrument scores, disposition at discharge and follow-up, and incidences of pelvic fracture, frontal contusion, and urinary tract infection (UTI).

Demographic information, injured body region and diagnosis, surgical intervention, admission to the intensive care unit (ICU), Glasgow Coma Scale (GCS) score, length of hospital stay (LOS), in-hospital mortality, and disposition at hospital discharge were analysed.

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Similar(11)

Main Outcome Measures: Outcomes of interest were change in FIM scores, length of rehabilitation hospital stay, need for intercurrent transfer back to the acute hospital, final discharge destination, and survival status.

From the Clinical Information System, we analysed patient age, sex, diagnosis, illness severity scores, pre-CRRT creatinine levels, AKIN scores, length of CRRT and ICU admission.

Patient demographics, medical history, severity scores, length of stay, physiologic data and hospital mortality were collected from the Finnish Intensive Care Consortium prospective database (Tieto Ltd ,Helsinki, Finland) and with a study-specific case report form.

Several variables concerning patient demographics, APACHE and SAPS II scores, length of ICU stay (LOS) and outcome were recorded and further statistically analyzed using χ[2], Mann-Whitney and Kruskal-Wallis tests.

Age, sex, APACHE II scores, length of stay (LOS), and the Nursing Activities Score (NAS) were also registered.

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