Complete Blood Count Reference Ranges from a Rural Haitian Ambulatory Care Clinic

Downey, Robert F.

doi:10.1093/labmed/lmw074

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…Even the definition of population reference intervals—intervals that define a majority of the population as “normal” or “healthy” individuals—remains elusive. Further still, biomarkers used in clinical diagnostic testing may vary substantially between different demographics, including in children ( 35 ), as well as racial ( 36 ) or ethnic groups ( 37 ), and socio-economic strata ( 38 – 41 ). We focused on quantifying the risk for mortality across an array of biomarkers and found that, while reproducible across independent survey waves, the individual risk between biomarker values and death in otherwise healthy individuals was modest ( 42 , 43 ).…”

Section: Discussionmentioning

confidence: 99%

Association of 152 Biomarker Reference Intervals with All-Cause Mortality in Participants of a General United States Survey from 1999 to 2010

et al. 2020

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Background Physicians sometimes consider whether or not to perform diagnostic testing in healthy people, but it is unknown whether nonextreme values of diagnostic tests typically encountered in such populations have any predictive ability, in particular for risk of death. The goal of this study was to quantify the associations among population reference intervals of 152 common biomarkers with all-cause mortality in a representative, nondiseased sample of adults in the United States. Methods The study used an observational cohort derived from the National Health and Nutrition Examination Survey (NHANES), a representative sample of the United States population consisting of 6 survey waves from 1999 to 2010 with linked mortality data (unweighted N = 30 651) and a median followup of 6.1 years. We deployed an X-wide association study (XWAS) approach to systematically perform association testing of 152 diagnostic tests with all-cause mortality. Results After controlling for multiple hypotheses, we found that the values within reference intervals (10–90th percentiles) of 20 common biomarkers used as diagnostic tests or clinical measures were associated with all-cause mortality, including serum albumin, red cell distribution width, serum alkaline phosphatase, and others after adjusting for age (linear and quadratic terms), sex, race, income, chronic illness, and prior-year healthcare utilization. All biomarkers combined, however, explained only an additional 0.8% of the variance of mortality risk. We found modest year-to-year changes, or changes in association from survey wave to survey wave from 1999 to 2010 in the association sizes of biomarkers. Conclusions Reference and nonoutlying variation in common biomarkers are consistently associated with mortality risk in the US population, but their additive contribution in explaining mortality risk is minor.

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Section: Discussionmentioning

confidence: 99%

Association of 152 Biomarker Reference Intervals with All-Cause Mortality in Participants of a General United States Survey from 1999 to 2010

et al. 2020

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“…More than half (57.1%) of the patients were considered to be moderate to severe cases upon hospitalization. Some of the laboratory findings of the patients upon presentation deviated from the reference ranges, for example, haemoglobin Hb, white blood cells WBC, and ANC, were measured as 11.5 (SD:4.2), 11.2 (SD:35.5), 7.0 (SD:28.2), respectively 35 . This deviation is believed to be expected, one that can happen at any stage of cancer during exposure to therapy 36,37 .…”

Section: Predictors Of Icu Admissionsmentioning

confidence: 99%

Clinical and therapeutic characteristics of hospitalized cancer patients in the Najran Region of Saudi Arabia: a cross-sectional study

Alyami,

Naser,

Alyami

et al. 2023

J. Manaj. dan Pelayanan Farm.

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There are limited studies in the Southern region of Saudi Arabia on the characteristics of hospitalised patients with cancer. The aim of this study was to explore the clinical and therapeutic characteristics of hospitalized cancer patients in the Najran Region of Saudi Arabia. A retrospective cross-sectional observational study was conducted using cancer patients’ medical records at the oncology unit in the King Khalid Hospital in Najran situated in the southern region of Saudi Arabia. Hospitalized patients’ records were extracted between 2014 and 2020. Logistic regression analysis was conducted to identify determinants of ICU admission among cancer patients. A total of 1,678 patients were involved in this study. The mean age was 52.5 (SD: 21.1) years. The average duration of stay was 8.7 days (SD: 13.4). The most commonly reported types of cancer were breast cancer, rectum cancer and colon cancer, accounting for 13.6%, 6.9%, and 6.7%, respectively. A total of 13.9% of the study participants required ICU admission. More than half (57.1%) of the patients were complaining of a moderate to severe case upon hospitalization. Older age (52.5 years and above) and the presence of comorbidities were risk factors that significantly increased the risk of ICU admission (P<.001). Patients with diabetes mellitus, hypertension, heart diseases, stroke, and kidney diseases were more likely to require ICU admissions. Patients with liver cancer were more likely to require ICU admission. Healthcare professionals should give extra care and health education for high risk cancer patients including elderly patients and those with other comorbidities to prevent complications and its associated hospitalization.

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Complete Blood Count Reference Ranges from a Rural Haitian Ambulatory Care Clinic

Cited by 2 publications

References 8 publications

Association of 152 Biomarker Reference Intervals with All-Cause Mortality in Participants of a General United States Survey from 1999 to 2010

Association of 152 Biomarker Reference Intervals with All-Cause Mortality in Participants of a General United States Survey from 1999 to 2010

Clinical and therapeutic characteristics of hospitalized cancer patients in the Najran Region of Saudi Arabia: a cross-sectional study

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