Impact of vitamin D supplementation on the clinical outcomes of COVID-19 pneumonia patients: a single-center randomized controlled trial.

BACKGROUND: Vitamin D supplementation for infectious diseases has been discussed, but its role in COVID-19 is unclear. Therefore, this study examined the clinical outcomes of COVID-19 pneumonia patients who received vitamin D supplementation. METHODS: This prospective, open-label, randomized controlled trial was conducted in a university hospital between July 2020 and March 2022. The inclusion criteria were patients aged ≥ 18 years with COVID-19 pneumonia patients. The patients were randomized into two groups: an intervention group receiving vitamin D supplementation (alfacalcidol, two mcg orally daily) until discharge and a control group. The clinical outcomes were pneumonia treatment duration, length of hospital stay, and change in pneumonia severity index between enrollment and discharge. Subgroup analysis was conducted for supplemental oxygen use, high-dose corticosteroid administration, evidence of lymphopenia, C-reactive protein concentration, and total serum vitamin D concentration. Adverse events were monitored. RESULTS: Two hundred ninety-four patients were recruited (147 per group). The two groups did not differ in pneumonia treatment duration to discharge (p = 0.788) or length of hospital stay (p = 0.614). The reduction in the pneumonia severity index between enrollment and discharge was more significant in the intervention group (p = 0.007); a significant decrease was also observed among patients who had C-reactive protein > 30 mg/L (p < 0.001). No adverse reactions were recorded. CONCLUSIONS: Adding active vitamin D to standard treatment may benefit COVID-19 pneumonia patients who require supplemental oxygen or high-dose corticosteroid therapy or who have high C-reactive protein concentrations (> 30 mg/L) upon treatment initiation. TRIAL REGISTRATION: Thai Clinical Trials Registry TCTR20210906005 (retrospectively registered, 6 September 2021).

Association of body mass index and dietary intake with mild cognitive impairment and dementia: a retrospective cohort study.

BACKGROUND: The prevalence of cognitive impairment in older adults is gradually increasing, and this is leading to many adverse outcomes. Common causes of cognitive impairment in advancing age are mild cognitive impairment (MCI) and dementia. However, how the nutritional status and nutrient intake are related to MCI and dementia is controversial. Therefore, we aimed to evaluate the association of body mass index (BMI) and dietary intake with the risk of MCI and dementia. METHODS: This retrospective cohort study involved 821 participants aged ≥ 50 years from a previous population-based cohort study: the Electricity Generating Authority of Thailand (EGAT) study in 2013-2014 (baseline) and 2018-2019 (follow-up). Dietary intake was recorded using a 12-month self-reported food frequency questionnaire. MCI and dementia were diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria using the Montreal Cognitive Assessment with ADL and the Kessler Psychological Distress Scale (K10) at study entry and at the 5-year follow-up. RESULTS: Among the 821 participants, the mean age was 60.0 ± 4.3 years, and the incidence rate of MCI and dementia was 42.5 and 11.2 per 1,000 person-years, respectively. The rate of MCI and dementia was higher in participants aged ≥ 60 years and with an education level of < 7 years. The rate of MCI was also higher in those with a BMI of ≥ 25 kg/m2 and type 2 diabetes. Compared to BMI 18.5-22.9 kg/m2, BMI of ≥ 25 kg/m2 (odds ratio 1.91 [95% confidence interval, 1.12-3.26], p < 0.001) was associated with an increased risk of MCI after adjusted for age, education level, and type 2 diabetes. Regarding dietary intake, fresh red meat consumption was inversely associated with the risk of MCI (p = 0.037) and dementia (p = 0.011) after adjusting for age, education level, type 2 diabetes, and BMI. CONCLUSION: Obesity was associated with a greater risk of MCI. Moreover, low consumption of fresh red meat could be a risk factor for MCI and dementia. Further studies are required to confirm and explain these findings.

Relationship of body mass index with frailty and all-cause mortality among middle-aged and older adults.

BACKGROUND: Parallel to growth of aging and obese populations, the prevalence of metabolic diseases is rising. How body mass index (BMI) relates to frailty and mortality across frailty levels is controversial. We examined the associations of high BMI with frailty and mortality and explored the effects of percent body fat on these associations. METHODS: We included 29,937 participants aged ≥50 years from the 2001-2006 National Health and Nutrition Examination Survey (NHANES) cohorts (N=6062; 53.7% females) and from wave 1 (2004) of Survey of Health, Ageing and Retirement in Europe (SHARE) (N=23,875; 54% females). BMI levels were categorized as: normal: 18.5-24.9 kg/m2, overweight: 25.0-29.9, obese grade 1: 30.0-34.9, and obese grade 2 or 3: >35.0. A frailty index (FI) was constructed excluding nutrition-related items: 36 items for NHANES and 57 items for SHARE. We categorized the FI using 0.1-point increments: FI ≤ 0.1 (non-frail), 0.1 < FI ≤ 0.2 (very mildly frail), 0.2 < FI ≤ 0.3 (mildly frail), and FI > 0.3 (moderately/severely frail). Percent body fat was measured using DXA for NHANES participants. All-cause mortality data were obtained until 2015 for NHANES and 2017 for SHARE to estimate 10-year mortality risk. All analyses were adjusted for age, sex, educational, marital, employment, and smoking statuses. RESULTS: Mean age of participants was 63.3±10.2 years for NHANES and 65.0±10.0 years for SHARE. In both cohorts, BMI levels ≥25 kg/m2 were associated with higher frailty, compared to normal BMI. In SHARE, having a BMI level greater than 35 kg/m2 increased mortality risk in participants with FI≤0.1 (HR 1.31, 95%CI 1.02-1.69). Overweight participants with FI scores >0.3 were at lower risk for mortality compared to normal BMI [NHANES (0.79, 0.64-0.96); SHARE (0.71, 0.63-0.80)]. Higher percent body fat was associated with higher frailty. Percent body fat significantly mediated the relationship between BMI levels and frailty but did not mediate the relationship between BMI levels and mortality risk. CONCLUSIONS: Being overweight or obese is associated with higher frailty levels. In this study, we found that being overweight is a protective factor of mortality in moderately/severely frail people and obesity grade 1 may be protective for mortality for people with at least a mild level of frailty. In contrast, obesity grades 2 and 3 may be associated with higher mortality risk in non-frail people. The relationship between BMI and frailty is partially explained by body fat.

Association between gut microbiota and prediabetes in people living with HIV.

The prevalence of prediabetes is rapidly increasing in general population and in people living with HIV (PLWH). Gut microbiota play an important role in human health, and dysbiosis is associated with metabolic disorders and HIV infection. Here, we aimed to evaluate the association between gut microbiota and prediabetes in PLWH. A cross-sectional study enrolled 40 PLWH who were receiving antiretroviral therapy and had an undetectable plasma viral load. Twenty participants had prediabetes, and 20 were normoglycemic. Fecal samples were collected from all participants. The gut microbiome profiles were analyzed using 16S rRNA sequencing. Alpha-diversity was significantly lower in PLWH with prediabetes than in those with normoglycemia (p<0.05). A significant difference in beta-diversity was observed between PLWH with prediabetes and PLWH with normoglycemia (p<0.05). Relative abundances of two genera in Firmicutes (Streptococcus and Anaerostignum) were significantly higher in the prediabetes group. In contrast, relative abundances of 13 genera (e.g., Akkermansia spp., Christensenellaceae R7 group) were significantly higher in the normoglycemic group. In conclusion, the diversity of gut microbiota composition decreased in PLWH with prediabetes. The abundances of 15 bacterial taxa in the genus level differed between PLWH with prediabetes and those with normoglycemia. Further studies on the effect of these taxa on glucose metabolism are warranted.

Metformin-associated lactic acidosis and factors associated with 30-day mortality.

BACKGROUND: Metformin-associated lactic acidosis (MALA) is a rare event but underrecognition may lead to unfavorable outcomes in type 2 diabetes patients. While many risk factors of MALA have been identified, how to reduce mortality from MALA is a matter of debate. This study aimed to explore the factors associated with 30-day mortality amongst MALA patients. METHODS: An observational study enrolled patients diagnosed with MALA between January 2014 and December 2017. MALA was defined by a history of metformin administration, metabolic acidosis (arterial blood gas pH <7.35 or HCO3 <15 mmol/L), and elevated plasma lactate level (>5 mmol/L). We examined risk factors including age, sex, underlying diseases, current medications, blood tests, disease severity, and dialysis data. Mortality status was identified from medical records or report on telephone. RESULTS: We included 105 MALA patients. Most patients (95.2%) were diagnosed acute kidney injury stage 3 according to KDIGO 2012 definition. The 30-day mortality rate was 36.2% and dialysis rate was 85.7%. The survivors had higher proportions of underlying chronic kidney disease, presence of metabolic acidosis, receiving renal replacement therapy within 6 hours, and haemodialysis, whereas the non-survivors had higher percentage of hypertension and disease severity. Lower APACHE II score (HR = 0.95; 95%CI, 0.91-0.99; p = 0.038), time to dialysis < 6 hours (0.31; 0.14-0.69; 0.004), and haemodialysis (0.20;0.06-0.67; 0.010) were associated with lower 30-day mortality, using multivariate Cox-regression analysis. CONCLUSIONS: Mortality rate amongst patients with MALA was high. Early dialysis treatment within 6 hours after admission and haemodialysis were independently associated with lower 30-day mortality. The large scale, well-designed studies need to confirm these encouraging results.

Relationship between diet quality scores and the risk of frailty and mortality in adults across a wide age spectrum.

BACKGROUND: Beyond intakes of total energy and individual nutrient, eating patterns may influence health, and thereby the risk of adverse outcomes. How different diet measures relate to frailty-a general measure of increased vulnerability to unfavorable health outcomes-and mortality risk, and how this might vary across the life course, is not known. We investigated the associations of five dietary indices (Nutrition Index (NI), the energy-density Dietary Inflammatory Index (E-DII™), Healthy Eating Index-2015 (HEI-2015), Mediterranean Diet Score (MDS), and Dietary Approaches to Stop Hypertension (DASH)) with frailty and mortality. METHODS: We included 15,249 participants aged ≥ 20 years from the 2007-2012 cohorts of the National Health and Nutrition Examination Survey (NHANES). The NI combined 31 nutrition-related deficits. The E-DII is a literature-derived dietary index associated with inflammation. The HEI-2015 assesses adherence to the Dietary Guidelines of Americans. The MDS represents adherence to the traditional Mediterranean diet. DASH combines macronutrients and micronutrients to prevent hypertension. Frailty was evaluated using a 36-item frailty index. Mortality status was ascertained up to December 31, 2015. RESULTS: Participants' mean age was 47.2 ± 16.7 years and 51.7% were women. After adjusting for age, sex, race, educational level, marital and employment status, smoking, BMI, and study cohort, higher NI and E-DII scores and lower HEI-2015, MDS, and DASH scores were individually significantly associated with frailty. All dietary scores were significantly associated with 8-year mortality risk after adjusting for basic covariates and frailty: NI (hazard ratio per 0.1 point, 1.15, 95%CI 1.10-1.21), E-DII (per 1 point, 1.05, 1.01-1.08), HEI-2015 (per 10 points, 0.93, 0.89-0.97), MDS (per 1 point, 0.94, 0.90-0.97), and DASH (per 1 point, 0.96, 0.93-0.99). The associations of E-DII, HEI-2015, and MDS scores with 8-year mortality risk persisted after additionally adjusting for NI. CONCLUSIONS: NI, E-DII, HEI-2015, MDS, and DASH scores are associated with frailty and 8-year mortality risk in adults across all ages. Nevertheless, their mechanisms and sensitivity to predict health outcomes may differ. Nutrition scores have the potential to include measures of both consumption and laboratory and physical measures of exposure.

The association between body mass index and severity of Coronavirus Disease 2019 (COVID-19): A cohort study.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) has become a worst pandemic. The clinical characteristics vary from asymptomatic to fatal. This study aims to examine the association between body mass index (BMI) levels and the severity of COVID-19. METHODS AND STUDY DESIGN: A cohort study included 147 adult patients with confirmed COVID-19 were categorized into 4 groups by BMI levels on admission: <18.5 (underweight), 18.5-22.9 (normal weight), 23.0-24.9 (overweight), and ≥25.0 kg/m2 (obese). Rates of pneumonia, severe pneumonia, acute kidney injury (AKI), and ICU stay during hospitalization across BMI group was determined. Logistic regression analysis was used to determine the association between BMI and severe pneumonia. RESULTS: Of the totals, patients having a BMI <18.5, 18.5-22.9, 23.0-24.9, and ≥25.0 kg/m2 were 12.9%, 38.1%, 17.7%, and 31.3%, respectively. The rates of pneumonia and severe pneumonia tended to be higher in patients with higher BMI, whereas the rates of AKI and ICU stay were higher in patients with BMI <18.5 kg/m2 and ≥ 25 kg/m2, when compared to patients with normal BMI. After controlling for age, sex, diabetes, hypertension and dyslipidemia in the logistic regression analysis, having a BMI ≥25.0 kg/m2 was associated with higher risk of severe pneumonia (OR 4.73; 95% CI, 1.50-14.94; p = 0.003) compared to having a BMI 18.5-22.9 kg/m2. During admission, elevated hemoglobin and alanine aminotransferase levels on day 7 and 14 of illness were associated with higher BMI levels. In contrast, rising of serum creatinine levels was observed in underweight patients on days 12 and 14 of illness. CONCLUSIONS: Obesity in patients with COVID-19 was associated with severe pneumonia and adverse outcomes such as AKI, transaminitis and ICU stay. Underweight patients should be closely monitored for AKI. Further studies in body composition are warranted to explore the links between adiposity and COVID-19 pathogenesis.

Association of fatty acid consumption with frailty and mortality among middle-aged and older adults.

OBJECTIVES: Despite their role in health and disease, the relationship between fatty acids (FAs) and frailty and mortality remains unclear. The aim of this study was to explore how FA intake is associated with frailty and mortality. METHODS: This observational study included 4062 participants ≥50 y of age from the 2003-2006 cohorts of the National Health and Nutrition Examination Survey. A 36-item frailty index (FI) and a 14-item nutrition index (NI) were constructed. We analyzed 29 dietary FA variables. RESULTS: After adjustment for potential covariates and the NI, higher total FAs, saturated FAs (SFAs), and butanoic acid intake were associated with a higher degree of frailty. After an additional adjustment for the FI, higher SFA intake (total, hexanoic acid, octanoic acid, decanoic acid, tetradecanoic acid, hexadecanoic acid, and octadecanoic acid) was associated with higher mortality risk, whereas higher polyunsaturated FAs (total and octadecadienoic acid), ω-3 FAs (total, octadecatrienoic acid, and docosapentaenoic acid), and eicosenoic acid intake was associated with lower mortality risk. CONCLUSIONS: Only a higher percentage of SFA intake was associated with both higher frailty and mortality even after considering the degree of nutritional deficits. The effect of SFAs on mortality was evident across levels of frailty. FAs were associated with long-term mortality more often than they with degree of frailty.

Effects of Probiotics and Prebiotics on Frailty and Ageing: A Narrative Review.

Globally, the population over the age of 60 is growing fast, but people age in different ways. Frailty, shown by the accumulation of age-related deficits, is a state of increased vulnerability to adverse outcomes among people of the same chronological age. Ageing results in a decline in diversity and homeostasis of microbiomes, and gut flora changes are related to health deficit accumulation and adverse health outcomes. In older people, health deficits including inappropriate intake, sarcopenia, physical inactivity, polypharmacy, and social vulnerability are factors associated with gut dysbiosis. The use of probiotics and prebiotics is a cost-effective and widely available intervention. Intake of probiotics and prebiotics may improve the homeostasis of gut microflora and prevent frailty and unhealthy aging. However, health effects vary among probiotics and prebiotics and among individual populations. This narrative review summarizes recent evidence about the relationship between prebiotic and probiotic consumption with health outcomes in older people.

Impact of nutritional status on length of stay and hospital costs among patients admitted to a tertiary care hospital in Thailand.

BACKGROUND AND OBJECTIVES: Malnutrition has high prevalence among hospitalized patients but goes unrecognized in many patients. Early detection of malnutrition using an effective screening tool is required. This study aimed to examine the effects of nutritional status determined by the Nutrition Alert Form (NAF) and its individual sections on length of stay (LOS) and hospital costs in hospitalized patients, to investigate their associated factors, and to determine hospital malnutrition prevalence. METHODS AND STUDY DESIGN: This retrospective cohort study enrolled 2,906 hospitalized patients aged >=15 years in Ramathibodi Hospital between January and September 2016. At admission, nutritional status was screened using NAF. Nutrition status was defined as: NAF-A (normal/mild malnutrition; scores of 0-5), NAF-B (moderate malnutrition; 6-10), and NAF-C (severe malnutrition; >=11). Information regarding LOS and hospital costs during patients' hospitalization was also collected. RESULTS: The prevalence of malnutrition was 15.3%. After adjusting for age, sex and primary diagnosis, we found significantly longer LOS and higher hospital costs among those with NAF-B and NAF-C, in comparison with patients having NAF-A. The highest increase in LOS was in male patients aged >=60 years with NAF-C. The highest increase in LOS and hospital costs was associated with higher scores for functional capacity. CONCLUSIONS: Higher levels of malnutrition screened using the NAF were significantly associated with longer LOS and higher hospital costs. Older adult patients had the highest risk of being malnourished and developing negative consequences. A prospective study of nutritional support by a nutrition care team is underway.

Correction to: Frailty, nutrition-related parameters, and mortality across the adult age spectrum.

The original article [1] contained an error whereby Table 5 within the Appendix is presented incorrectly. This error has now been corrected and Table 5 is presented appropriately.

Frailty, nutrition-related parameters, and mortality across the adult age spectrum.

BACKGROUND: Nutritional status and individual nutrients have been associated with frailty in older adults. The extent to which these associations hold in younger people, by type of malnutrition or grades of frailty, is unclear. Our objectives were to (1) evaluate the relationship between individual nutrition-related parameters and frailty, (2) investigate the association between individual nutrition-related parameters and mortality across frailty levels, and (3) examine whether combining nutrition-related parameters in an index predicts mortality risk across frailty levels. METHODS: This observational study assembled 9030 participants aged ≥ 20 years from the 2003-2006 cohorts of the National Health and Nutrition Examination Survey who had complete frailty data. A 36-item frailty index (FI) was constructed excluding items related to nutritional status. We examined 62 nutrition-related parameters with established cut points: 34 nutrient intake items, 5 anthropometric measurements, and 23 relevant blood tests. The 41 nutrition-related parameters which were associated with frailty were combined into a nutrition index (NI). All-cause mortality data until 2011 were identified from death certificates. RESULTS: All 5 anthropometric measurements, 21/23 blood tests, and 19/34 nutrient intake items were significantly related to frailty. Although most nutrition-related parameters were directly related to frailty, high alcohol consumption and high levels of serum alpha-carotene, beta-carotene, beta-cryptoxanthin, total cholesterol, and LDL-c were associated with lower frailty scores. Only low vitamin D was associated with increased mortality risk across all frailty levels. Seventeen nutrition-related parameters were associated with mortality in the 0.1-0.2 FI group, 11 in the 0.2-0.3 group, and 16 in the > 0.3 group. Overall, 393 (5.8%) of the participants had an NI score less than 0.1 (abnormality in ≤ 4 of the 41 parameters examined). Higher levels of NI were associated with higher mortality risk after adjusting for frailty and other covariates (HR per 0.1: 1.19 [95%CI 1.133-1.257]). CONCLUSIONS: Most nutrition-related parameters were correlated to frailty, but only low vitamin D was associated with higher risk for mortality across levels of frailty. As has been observed with other age-related phenomena, even though many nutrition-related parameters were not significantly associated with mortality individually, when combined in an index, they strongly predicted mortality risk.

Evaluation of Body Composition in Hemodialysis Thai Patients: Comparison between Two Models of Bioelectrical Impedance Analyzer and Dual-Energy X-Ray Absorptiometry.

BACKGROUND: Body composition measurement is very important for early nutritional care in hemodialysis patients. Dual-energy X-ray absorptiometry (DXA) is a gold standard test, but clinically limited. Bioelectrical impedance analysis (BIA) with multifrequency technique is a practical and reliable tool. OBJECTIVE: This cross-sectional study was aimed to compare the agreement of BIA with DXA in measurement of body composition in hemodialysis patients and to evaluate their associated factors. METHODS: Body composition was measured by 2 BIA methods (InBody S10 and InBody 720) and DXA after a hemodialysis session. A total of 69 measurements were included. Pearson's correlation and Bland and Altman analysis were used to determine the correlation of body composition between methods and to compare the methods agreement, respectively. RESULTS: The correlation coefficients of body compositions were strong between DXA and InBody S10 (fat mass index (FMI): r=0.95, fat-free mass index (FFMI): r=0.78) and also between DXA and InBody 720 (FMI: r=0.96, FFMI: r=0.81). Comparing to DXA, the means of each body composition measured by InBody S10 method were not significantly different in each gender, but differences were found in FM, %FM, and FMI measured by InBody 720. CONCLUSIONS: In maintenance hemodialysis patients, the measurement of body composition with DXA and both BIA methods had highly significant correlations; practically, BIA method could be used as an instrument to follow FM and FFM and to measure the edematous stage. Further studies with large populations are warranted.

Unusual manifestation of vitamin A deficiency presenting with generalized xerosis without night blindness.

Vitamin A deficiency from malabsorption syndromes, including bariatric surgery, has become an emerging problem in developed countries. Early detection and prompt treatment lead to rapid and complete recovery. Nevertheless, it may result in irreversible blindness or death if left untreated. Health care personnel should be aware of this condition.