Sentence examples for discharges p from inspiring English sources

YLLs (p = 0.03), inpatient hospital discharges (p = 0.05), and total hospital days (p = 0.02) were also associated with funding levels.

From 2001/2002 to 2009/2010, the age-adjusted rate of hospitalizations associated with PH increased by 44%, from 91 per 100,000 discharges to 131 per 100,000 discharges (P <.001).

There were also clear differences in the median times at which epileptiform discharges (P = 0.0002) occurred compared to generalized slowing, and the few cortical MRI changes were earlier than the equally uncommon subcortical MRI changes (P = 0.04).

However, model estimates of these patterns were different from the actual pattern when the model did not include data on the duration of illness (P < 0.001 for discharges; P = 0.001 to 0.040 for deaths).

The model's estimates of the daily pattern of deaths, discharges, and SOFA scores over time were not statistically different from the actual pattern when information about how long patients had been ill was included in the model (P = 0.91 to 0.98 for discharges; P = 0.26 to 0.68 for deaths).

Statistical association exits between longer duration of IMV and severity of sequels at discharge (p = 0.015).

Abnormal polysomnographic recordings (P = 0.09) and abnormal neurologic examination on discharge (P < 0.01) were correlated with postnatal epilepsy.

Overall FIM scores were also significantly different both at admission and discharge (p <.001, p =.025, respectively).

Of the 31 variables evaluated, families averaged 5.9 moderate/serious problems at admission, decreasing to 2.2 at discharge (p < .001).001

For the 15 patients, median mHLA-DR expression on day 1 2 was significantly lower to that at ICU discharge (p = 0.005), and at 6 months after ICU discharge (p < 0.0001); median mHLA-DR expression 6 months after ICU discharge was significantly higher from median mHLA-DR at ICU discharge (p = 0.0002).

In multivariate analysis, both admission (P =.001) and discharge (P <.001) FIM scores were the best predictors of patients' discharge disposition to home.