Hematology and serum biochemistry variables in apparently normal Arabian Oryx (Oryx leucoryx)

Background and Aim

Hematology and serum biochemical analyses are integral parts of the clinical evaluation of sick animals. This is especially true regarding the clinical care of wildlife species, where clinical signs and historical data relating to the particular illness are often not available. Therefore, this study was designed to report various hematology and serum biochemistry parameters in Arabian oryx (Oryx leucoryx).

Materials and Methods

Various hematology and serum biochemistry parameters were determined in 49 Arabian oryx of various ages and sexes. Hematology parameters included total red blood cells (RBC), packed cell volume (PCV), hemoglobin concentration, mean corpuscular volume, mean corpuscular hemoglobin (MCH), MCH concentration, and total leukocyte count (white blood cell) using an automated hematology analyzer. Serum biochemistry variables included glucose (Trinder method), total protein (biuret method), albumin using the Bromcresol Green (BCG) method, and blood urea nitrogen (colorimetric method). In addition, serum electrolyte concentrations of calcium, magnesium, and phosphorus were determined using colorimetric methods.

Results

There was a significant difference in RBC count, PCV, and serum glucose concentration between adult and young Arabian oryx. The RBC count was significantly higher in males than in females, whereas the serum glucose concentration was significantly higher in females.

Conclusion

Results of this study showed significant differences in RBC, PCV, and serum glucose concentration between apparently normal young and Adult Arabian oryx. Similar differences were also detected between normal males and females. Knowledge of these data could prove vital in the clinical evaluation of the health status of this wildlife species.

Clustering Analysis Identified Three Long COVID Phenotypes and Their Association with General Health Status and Working Ability

BACKGROUND/AIM

This study aimed to distinguish different phenotypes of long COVID through the post-COVID syndrome (PCS) score based on long-term persistent symptoms following COVID-19 and evaluate whether these symptoms affect general health and work ability. In addition, the study identified predictors for severe long COVID.

METHOD

This cluster analysis included cross-sectional data from three cohorts of patients after COVID-19: non-hospitalized (n = 401), hospitalized (n = 98) and those enrolled at the post-COVID outpatient's clinic (n = 85). All the subjects responded to the survey on persistent long-term symptoms and sociodemographic and clinical factors. K-Means cluster analysis and ordinal logistic regression were used to create PCS scores that were used to distinguish patients' phenotypes.

RESULTS

506 patients with complete data on persistent symptoms were divided into three distinct phenotypes: none/mild (59%), moderate (22%) and severe (19%). The patients with severe phenotype, with the predominating symptoms were fatigue, cognitive impairment and depression, had the most reduced general health status and work ability. Smoking, snuff, body mass index (BMI), diabetes, chronic pain and symptom severity at COVID-19 onset were factors predicting severe phenotype.

CONCLUSION

This study suggested three phenotypes of long COVID, where the most severe was associated with the highest impact on general health status and working ability. This knowledge on long COVID phenotypes could be used by clinicians to support their medical decisions regarding prioritizing and more detailed follow-up of some patient groups.

Severe Air Pollution Exposure and Long-Term Health Outcomes

BACKGROUND

There is a large literature that documents the negative health implications of exposure to air pollution, particularly PM2.5. Much of this literature, however, relies on short-term cross-sectional data, which cannot establish a true causal link between pollution and health. There are also very few studies that document long- and very long-term effects.

PURPOSE

This study intends to estimate a causal relationship between exposure to severe air pollution and negative health outcomes that persist over long periods of time.

METHODS

We use a large longitudinal dataset that spans almost 2 decades and that allows us to not only document the persistence of negative health effects, but also a pattern of recovery from a severe pollution episode. We use multivariate regression methods to estimate a causal link between air pollution and health over time. A large pollution shock that occurred in 1997 in Indonesia is used as a natural experiment to pinpoint the true causal effects of pollution exposure and not mere correlations.

RESULTS

Exposure to an additional unit of pollution in 1997 leads to a loss of roughly six units of lung capacity and to an increase of 4.3% in the probability of being in poor general health, as measured ten years after the pollution exposure. These effects somewhat diminish over time, to a loss of roughly three units of lung capacity and to an increase of only about 3% in the probability of being in poor general health, as measured 17 years after exposure.

CONCLUSIONS

Our study finds significant health consequences of exposure to air pollution, which persist over long periods of time, with some patterns of recovery. Policymakers should pay special attention to such massive sources of pollution and try to mitigate these negative health consequences.

Establishment of reference intervals of selected blood biochemical parameters in Shami goats

BACKGROUND

Reference intervals (RIs) of various blood biochemical parameters are used in assessing the clinical health and nutritional status of animals. Blood biochemical analyte RIs are not currently available in Shami goats.

OBJECTIVES

This study aimed to determine the RIs of selected blood biochemical analytes in Shami goats.

METHODS

Blood from 120 animals (females N = 70; males N = 50) was used to determine the RIs of total protein (TP), albumin (ALB), globulin, fibrinogen (FIB), urea, creatinine (CRT), AST, ALT, ALP, GGT, glucose (GLU), calcium (Ca), sodium (Na), potassium (K), and chloride (CL) using commercially available kits.

RESULTS

The RIs for selected blood biochemical analytes in Shami goats were: TP (34.9-83.5 g/L), ALB (22.3-55.1 g/L), globulin (9.9-50 g/L), FIB (2.19-5.45 g/L), urea (0.55-9.5 mmol/L), CRT (11.4-221 µmol/L), aspartate aminotransferase (7.9-299 U/L), ALT (2.3-49 U/L), ALP (7.7-950 U/L), GGT (4.5-185 U/L), GLU (1.3-6.8 mmol/L), Ca (1.65-2.6 mmol/L), Na (120-180 mmol/L), K (3.7-6.3 mmol/L), CL (91.9- 125 mmol/L), and the albumin:globulin ratio (0.45-3.9).

CONCLUSIONS

The RIs of the selected blood biochemical analytes in Shami goats were determined in this study. These results can be used in the clinical diagnosis of diseases in Shami goats and to evaluate their general health and nutritional status.

Self-rated oral health status and social and health determinants among community dwelling adults in Kenya

Background

The aims of this study were to estimate the self-rated oral health status and its associated factors in a national community dwelling population in Kenya.

Methods

A cross-sectional study based on a stratified cluster random sampling was conducted in 2015. The total sample included 4,459 individuals 18–69 years (M=40.4 years, SD=13.9). Questionnaire interview, blood pressure and anthropometric measurements, and biochemistry tests were conducted, including questions on the oral health status, general health status, oral health behaviour and socio-demographic information.

Results

Overall, 13.7% of participants reported poor self-rated oral health. In adjusted logistic regression analysis, older age (Odds Ratio-OR: 1.70, Confidence Interval-CI: 1.07, 2.69), having a lower number lover number of teeth (OR: 0.19, CI: 0.06, 0.62), having dentures (OR: 1.92, CI: 1.22, 3.03), having pain in the mouth or teeth (OR: 5.62, CI: 3.58, 8.90), impaired Oral Health Related Quality of Life (OR: 3.01, CI: 2.03, 4.47) and frequent soft drink consumption (OR: 3.62, CI: 1.89, 6.97) were associated with poor self-rated oral health.

Conclusion

High unsatisfied self-rated oral health status was found and several risk factors for poor self-rated oral health were identified that can help in guiding oral health care programming in Kenya.

Self-Rated Oral Health Status And Social And Health Determinants Among 35-65 Year-Old Persons In One Region In Myanmar: A Cross-Sectional Study

BACKGROUND

Oral diseases may be a population health problem in Myanmar. Community-based surveys may help in the selection of risk groups that may require priority attention. The study aimed to estimate the prevalence and correlates of self-rated oral health (SROH) status in an adult community sample in Myanmar.

METHODS

The study design was a cross-sectional household survey in the Magway region Myanmar. In all, 633 persons aged 35 to 65 years, responded to questions on the oral health status, general health status, oral health knowledge and behaviour and socio-demographic information.

RESULTS

Overall, 13.6% of participants reported poor SROH, and 78.5% average or poor SROH. In adjusted logistic regression analysis, oral conditions (tooth loss, cavities, bleeding gums, and teeth that are sensitive to heat or cold), better oral health knowledge, dental care attendance, and skipping breakfast were associated with poor SROH.

CONCLUSION

A high proportion of poor or average SROH status was found and several associated variables were found that can facilitate in guiding oral health care programming in Myanmar.

The Relationship between Health Behavior and General Health Status: Based on 2011 Korea National Health and Nutrition Examination Survey

OBJECTIVES

The aim of the present study is to investigate the relationship between health behavior and general health status.

METHODS

We used data from the 2011 Korea National Health and Nutrition Examination Survey. Mental health was measured by stress recognition and depression. Dietary habit was measured by mixed grain diet. Life pattern was measured by sleeping time and working pattern. Physical activity was measured by walking and exercise. We defined general health status as Euro Quality of Life-5 Dimension (EQ-5Dindex), Euro Quality of Life Visual Analogue Scale (EQ-5Dvas), number of people experienced lying in a sickbed for the last one month, number of days lying in a sickbed for the last one month, and activity limitations.

RESULTS

Mental health, dietary habit, life pattern, and physical activity have seven factors. Most of the factors have a significant correlation with EQ-5Dindex, EQ-5Dvas, number of people experienced lying in a sickbed for the last one month, number of days lying in a sickbed for the last one month, and activity limitations.

CONCLUSION

Health behavior and general health status have a positive correlation.

General Health Status in a Cohort of Iranian Patients with Intentional Self-poisoning: A Preventive Approach

Background:

Prevention of suicide is one of the most important issues of community medicine in the world. Because of high accessibility of people to different drugs in our society, one of the easiest ways of suicide is intentional self-poisoning. In this study, demographic factors and health status of the patients with intentional self-poisoning were evaluated.

Methods:

A cross-sectional study was conducted in the poisoning referral center on 384 patients aged 15–40 years who committed intentional self-poisoning. Information was gathered using two questionnaires about demographic characteristics and the general health status of the patients.

Results:

70.5% of the patients had easy accessibility to drugs. Most of the patients were women (62.5%) and single (51%). History of psychological disease was demonstrated in 82.5% of patients. In terms of general health status, the most common problems were social dysfunction (97.57%) and depression (88.9%).

Conclusion:

Easy accessibility to drugs and psychological problems may increase the risk of intentional self-poisoning. Being religious and the consequent hopefulness may have a positive protecting effect for the prevention of intentional self-poisoning.

Quantitative estimation and correlation of serum albumin levels in clinically healthy subjects and chronic periodontitis patients

Aim:

The aim of this study was to evaluate the relationship between periodontal disease and general health status in adults using the serum albumin concentration.

Materials and Methods:

A total of 100 patients of both genders with age range of 40 to 70 years were included in the study. Patients were divided into the following two groups: clinically healthy subjects and patients with periodontitis, that is, loss of attachment ≥5 mm. Dental examinations were carried out at baseline and clinical attachment levels were measured at four sites. Serum albumin concentration was estimated by bromocresol green albumin method.

Results:

The mean serum albumin levels for Group I was 4.47 g/dl with standard deviation (SD) of 0.276 and for Group II, the mean value of serum albumin was 4.61 g/dl with SD of 0.273. Using Student's unpaired ′t′ test, the difference between the serum albumin levels in Group I and Group II were found to be statistically significant (P=0.020). The mean body mass index values for Group I was 22.63 with a SD of 3.85, whereas the same for Group II was 22.23 with a SD of 4.21, which were on comparison, found to be nonsignificant (P=0.462).

Conclusion:

The findings of the clinical trial suggest an inverse relationship between the serum albumin concentration and chronic periodontal disease.