scholarly journals Iron-Replete Reference Intervals to Increase Sensitivity of Hematologic and Iron Status Laboratory Tests in the Elderly

2002 ◽  
Vol 48 (9) ◽  
pp. 1586-1589 ◽  
Author(s):  
Timo I Takala ◽  
Pauli Suominen ◽  
Raimo Isoaho ◽  
Sirkka-Liisa Kivelä ◽  
Minna Löppönen ◽  
...  
1983 ◽  
Vol 31 (7) ◽  
pp. 389-395 ◽  
Author(s):  
PHILIP J. GARRY ◽  
JAMES S. GOODWIN ◽  
WILLIAM C. HUNT
Keyword(s):  

2018 ◽  
Vol 3 (3) ◽  
pp. 366-377 ◽  
Author(s):  
Nadav Rappoport ◽  
Hyojung Paik ◽  
Boris Oskotsky ◽  
Ruth Tor ◽  
Elad Ziv ◽  
...  

Abstract Background The results of clinical laboratory tests are an essential component of medical decision-making. To guide interpretation, test results are returned with reference intervals defined by the range in which the central 95% of values occur in healthy individuals. Clinical laboratories often set their own reference intervals to accommodate variation in local population and instrumentation. For some tests, reference intervals change as a function of sex, age, and self-identified race and ethnicity. Methods In this work, we develop a novel approach, which leverages electronic health record data, to identify healthy individuals and tests for differences in laboratory test values between populations. Results We found that the distributions of >50% of laboratory tests with currently fixed reference intervals differ among self-identified racial and ethnic groups (SIREs) in healthy individuals. Conclusions Our results confirm the known SIRE-specific differences in creatinine and suggest that more research needs to be done to determine the clinical implications of using one-size-fits-all reference intervals for other tests with SIRE-specific distributions.


2018 ◽  
Vol 175 ◽  
pp. 55-73 ◽  
Author(s):  
Anna A. Wawer ◽  
Amy Jennings ◽  
Susan J. Fairweather-Tait
Keyword(s):  

2011 ◽  
Vol 85 (1) ◽  
pp. 50-54 ◽  
Author(s):  
Laurens Manning ◽  
Stephen P. Chubb ◽  
Peter M. Siba ◽  
Ivo Mueller ◽  
Timothy M. E. Davis ◽  
...  

2009 ◽  
Vol 11 (9) ◽  
pp. 738-746 ◽  
Author(s):  
Sarah Caney

Practical relevance Improvements in general health care and nutrition have meant that more cats are living to an advanced age. Weight loss is one of the most common presenting signs in the older cat. Many causes of weight loss in older cats are at least amenable to supportive care and some are curable. Clinical challenges Weight loss is a non-specific change and, while often a sensitive indicator of ill health, does not readily point to the diagnosis. Careful history taking and physical examination may indicate a specific cause but, as discussed in this article, further tests are generally required to confirm the diagnosis. In those cats where common causes of weight loss have been eliminated by initial tests, it is often harder to reach a diagnosis. A logical approach to case-solving is required, making use of imaging and advanced laboratory tests. Occult gastrointestinal disease should be suspected and investigated in cats where another cause of weight loss cannot be found. Patient group While the average lifespan of a pet cat is probably around 13–14 years, many will live longer than this if well cared for, and some considerably longer. Recently, the life stages have been redefined to help predict the changes that might be occurring in terms of a cat's physical and mental health. Cats are considered ‘senior’ at 11–14 years old and ‘geriatric’ at 15 years and above. Audience Geriatric medicine is forming an increasing part of the case load of first opinion and many referral veterinarians. Weight loss is common in older cats and is often the result of several, sometimes interacting, conditions.


Author(s):  
Kiyoshi Ichihara ◽  
Yoshikazu Yomamoto ◽  
Taeko Hotta ◽  
Shigemi Hosogaya ◽  
Hayato Miyachi ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Rosita Fontes ◽  
Patricia de Fatima dos Santos Teixeira ◽  
Mario Vaisman

Background. Studies have suggested that hypothyroidism is more frequent in the elderly with diabetes mellitus. However, an adaptation of TSH levels to age should be considered in this assessment. Some antidiabetes drugs reportedly interfere with TSH levels. The objectives of this study were to evaluate the prevalence of undiagnosed hypothyroidism in patients with diabetes and the influence of antidiabetes drugs.Material and Methods. 1160 subjects, 60 years and older (751 with diabetes), were studied; results were compared according to diabetes treatment and with persons without diabetes. TSH, FT4, antithyroperoxidase, fasting glucose, and HbA1c were measured.Results and Discussion. 6.4% of patients with diabetes had hypothyroidism, a higher prevalence compared with persons without diabetes (5.1%), but lower than observed in many studies. The use of age-specific TSH reference interval (RI) could explain this difference. Patients taking metformin (MTF) had TSH (showed in medians) slightly lower (2.8 mU/L) than those not on MTF (3.3 mU/L),p<0.05. MTF doses influenced TSH levels.Conclusions. The use of specific TSH RI could avoid the misdiagnosis of hypothyroidism in elderly with diabetes. Patients in use of MTF as single drug had lower TSH than those using other medications and persons without diabetes.


1989 ◽  
Vol 85 (1) ◽  
pp. 333-338 ◽  
Author(s):  
Eugene L. Coodley
Keyword(s):  

Vaccines ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 5
Author(s):  
Kinga Izabela Stańczak-Mrozek ◽  
Adam Sobczak ◽  
Leszek Lipiński ◽  
Elżbieta Sienkiewicz ◽  
Dorota Makarewicz ◽  
...  

In this study, we used publicly available data from the Centrum e-Zdrowia (CeZ) Polish Databank proposing a possible correlation between influenza vaccination and mortality due to COVID-19. We limited our search to the patients with positive COVID‑19 laboratory tests from 1 January 2020 to 31 March 2021 and who filled a prescription for any influenza vaccine during the 2019–2020 influenza season. In total, we included 116,277 patients and used a generalized linear model to analyze the data. We found out that patients aged 60+ who received an influenza vaccination have a lower probability of death caused by COVID-19 in comparison to unvaccinated, and the magnitude of this difference grows with age. For people below 60 years old, we did not observe an influence of the vaccination. Our results suggest a potential protective effect of the influenza vaccine on COVID-19 mortality of the elderly. Administration of the influenza vaccine before the influenza season would reduce the burden of increased influenza incidence, the risk of influenza and COVID‑19 coinfection and render the essential medical resources accessible to cope with another wave of COVID-19. To our knowledge, this is the first study showing a correlation between influenza vaccination and the COVID-19 mortality rate in Poland.


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