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A probably reason for this sustained increase may be due to increase in admission population and perhaps poor infection control measures.
Until recently, it was assumed that patients with ESRF admitted to critical care have considerably increased morbidity and mortality in comparison with the general ICU admission population.
That patients aged 65 years and older accounted for almost 40% of the ILOS>30 group was reflective of our admission population, where these elderly patients comprised 28% of all trauma admissions to our institution.
This association (assumed to be causal) is complex and depends on the specific health outcome (death or hospital admission), population characteristics (age, sex, SES), exposure conditions and the efficiency of the health care system, which all vary with time [ 34].
The steady increase in the ADL dependency of the admission population is consistent with the number of diagnoses, but we don't see that increase in impairment reflected in either the level of cognitive impairment or acuity as reflected by the CHESS score.
It is likely that the overall effect of temperature strongly depends on the general climate of the area, cause and type of health outcome (death or hospital admission), population characteristics (age, sex, socio-economic status (SES)), and the efficiency of the health system.
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The mortality of the 26 patients admitted to critical care was considerably higher (23.1%) than the overall hospital mortality, which for the total emergency admissions population was 5.4%.
On admission, neither population showed a difference between temperature groups in physiological indices (such as systolic blood pressure and RTS), which are normally used acutely in evaluating the status of a patient.
Differences in frequency of pathogens may be due to healthcare delivery (primary vs. secondary care), hospital and ICU admission practices, population factors (comorbidities, alcoholism…) and study factors [ 1].
The region with the highest number of eating disorder admissions by population size was the north east - where there were 5.8 per 100,000 (150 admissions).
Both discharge and Census data can identify Willits residents for classifying admissions and population.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com