Literature DB >> 33788172

Severe vitamin D deficiency is not related to SARS-CoV-2 infection but may increase mortality risk in hospitalized adults: a retrospective case-control study in an Arab Gulf country.

Abdullah M Alguwaihes1, Shaun Sabico2, Rana Hasanato3, Mohammed E Al-Sofiani4,5,6, Maram Megdad7, Sakhar S Albader8, Mohammad H Alsari8, Ali Alelayan8, Ebtihal Y Alyusuf4, Saad H Alzahrani9, Nasser M Al-Daghri2, Anwar A Jammah4.   

Abstract

PURPOSE: As the world continues to cautiously navigate its way through the coronavirus disease 2019 (COVID-19) pandemic, several breakthroughs in therapies and vaccines are currently being developed and scrutinized. Consequently, alternative therapies for severe acute respiratory coronavirus 2 (SARS-CoV-2) prevention, such as vitamin D supplementation, while hypothetically promising, require substantial evidence from countries affected by COVID-19. The present retrospective case-control study aims to identify differences in vitamin D status and clinical characteristics of hospitalized patients screened for SARS-CoV-2, and determine associations of vitamin D levels with increased COVID-19 risk and mortality.
METHODS: A total of 222 [SARS-CoV-2 (+) N = 150 (97 males; 53 females); SARS-CoV-2 (-) N = 72 (38 males, 34 females)] out of 550 hospitalized adult patients screened for SARS-CoV-2 and admitted at King Saud University Medical City-King Khalid University Hospital (KSUMC-KKUH) in Riyadh, Saudi Arabia from May-July 2020 were included. Clinical, radiologic and serologic data, including 25(OH)D levels were analyzed.
RESULTS: Vitamin D deficiency (25(OH)D < 50 nmol/l) was present in 75% of all patients. Serum 25(OH)D levels were significantly lower among SARS-CoV-2 (+) than SARS-CoV-2 (-) patients after adjusting for age, sex and body mass index (BMI) (35.8 ± 1.5 nmol/l vs. 42.5 ± 3.0 nmol/l; p = 0.037). Multivariate regression analysis revealed that significant predictors for SARS-CoV-2 include age > 60 years and pre-existing conditions (p < 0.05). Statistically significant predictors for mortality adjusted for covariates include male sex [Odds ratio, OR 3.3 (95% confidence interval, CI 1.2-9.2); p = 0.02], chronic kidney disease [OR 3.5 (95% CI 1.4-8.7); p = 0.008] and severe 25(OH)D deficiency (< 12.5 nmol/l), but at borderline significance [OR 4.9 (95% CI (0.9-25.8); p = 0.06].
CONCLUSION: In hospital settings, 25(OH)D deficiency is not associated with SARS-CoV-2 infection, but may increase risk for mortality in severely deficient cases. Clinical trials are warranted to determine whether vitamin D status correction provides protective effects against worse COVID-19 outcomes.

Entities:  

Keywords:  COVID-19; Case–control; Saudi Arabia; Severe vitamin D deficiency; Vitamin D

Year:  2021        PMID: 33788172      PMCID: PMC8009930          DOI: 10.1007/s40520-021-01831-0

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


Background

There is universal acceptance that the exponential spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the novel pathogen responsible for coronavirus disease 2019 (COVID-19), had instantaneously and irreversibly disrupted normalcy both at an individual level and most, if not all of the global affairs for the year 2020. At present, majority of the people with COVID-19 eventually recover, given its mild to moderate course. Interestingly, approximately 45% of infected individuals are considered ‘asymptomatic’ and have been deemed ‘silent carriers’ of the pandemic [1]. Compared to its predecessors, SARS-CoV-2 is much more contagious, but with a lower death rate (2.3%) than SARS-CoV (9.5%) and even lower than the Middle Eastern Respiratory Syndrome (MERS-CoV) coronavirus (34.4%) [2]. In all coronavirus epidemics, management has been largely supportive. Nevertheless, and in the case of COVID-19, potential therapeutics for those with severe symptoms, such as convalescent plasma [3] and remdesivir [4], have been explored with promising results. In parallel, the race to provide effective vaccines are also being expeditiously developed for COVID-19 prevention [5], with the one from Pfizer® currently gaining attraction for mass production after a series of successful clinical trials [6]. Among the roster of potential therapies, one alternative treatment that has been widely accepted and in fact, included in the rapid COVID-19 management is the use of vitamin D, largely driven by empirical evidence on the association of vitamin D to viral infections [7, 8]. Vitamin D is a secosteroid pro-hormone with a well-established role in maintaining calcium homeostasis. More recently, vitamin D has gained prominence for its pleiotropic and extra-skeletal effects [9]. It is estimated that globally, more than a billion people have vitamin D deficiency, with the highest prevalence mostly coming from countries in the Middle East, including Saudi Arabia [10, 11]. Currently, vitamin D has established potency against several viral respiratory infections and has consistently been observed to accelerate healing of injured tissues, primarily the lungs [12], considered compelling reasons why vitamin D merits further exploration in its preventive role in COVID-19. Furthermore, accumulating evidence from retrospective studies done mostly in Europe [13, 14], USA [15] and China [16] indicate that lower vitamin D levels were commonly observed among hospitalized patients with confirmed COVID-19, and may have some role in determining the severity and outcome of COVID-19. To date, only two studies have been conducted in the Middle East to examine the association between vitamin D levels and risk of acquiring, and dying from, COVID-19. One large-scale study in Israel has reported vitamin D deficiency as an independent risk factor of COVID-19 infection in the general population [17]; and the retrospective study in Iran which reported that low vitamin D levels are associated with severe lung damage and higher mortality among hospitalized COVID-19 patients [18]. So far, no published studies have examined the link between vitamin D deficiency and risk of COVID-19 infection or mortality in Saudi Arabia or any Arabian Gulf countries. Data from this part of the world, which is notoriously underrepresented in medical literature, are of clinical value, given its geographic and ethnic differences as compared to other regions. In addition, the high prevalence of vitamin D deficiency in this homogenous population may offer a unique insight into the link between vitamin D levels and COVID-19 that is unique from that reported in other parts of the world. To fill this gap, the present retrospective, case–control study aims to examine the association between vitamin D levels and clinical profiles of hospitalized individuals screened for SARS-CoV-2, and whether low vitamin D levels are associated with increased risk of COVID-19 infection and mortality in this subpopulation.

Methods

Study design and participants

In this single-center retrospective study conducted from May to July, 2020, medical records of 550 adult residents of Riyadh, KSA, who were swabbed for SARS-CoV-2 [N = 439 SARS-CoV-2 (+) and N = 111 SARS-CoV-2 (−)] and consequently admitted at KSUMC-KKUH from May–July 2020, were included [19]. Children and pregnant women were excluded.

SARS-CoV-2 screening

Diagnosis of SARS-CoV-2 infection was based on national guidelines [20]. Swab samples were obtained from the patient’s nasopharyngeal and oropharyngeal orifice/s and sent to the Biosafety Level 2-facility (BSL-2) with Biological Safety Cabinet Class II (BSC-II) in KSUMC, Riyadh, KSA, following universal precautions, for reverse transcription polymerase chain reaction (RT-PCR) analysis. RNA amplification was performed using ViiA7 RT-PCR (Thermo Fisher Scientific, Waltham, MA, USA) and Altona reagents (Altona Diagnostics, Hamburg, Germany). COVID-19 Test validation was done through Chemagic™ 360-D (PerkinElmer, MA, USA). Final interpretation was based on cycle threshold (CT) values obtained from specimens using ViiA7 software. Assay specificity and sensitivity obtained were 100% based on 23 specimens. Sample investigations were performed by certified laboratory personnel following manufacturer’s recommendations for the defined cut-off cycle threshold (CT) value for each target gene.

Data collection

Clinical information included demographics (age and sex), medical history (known cases of diabetes mellitus (DM), hypertension (HPN), cardiovascular disease (CVD), congestive heart failure (CHF), chronic kidney disease (CKD), stroke as well as smoking history) and list of medications [β-blockers, angiotensin converting enzyme (ACE) inhibitors, angiotensin receptor blockers (ARB), calcium channel blockers (CCB), statins, insulin, oral hypoglycemic, anti-coagulants and anti-platelets] were noted on admission. Height and weight were recorded and body mass index (kg/m2) was calculated. Obesity was defined as having a BMI ≥ 30 kg/m2. Radiological findings, if available, were recorded.

Serological tests

Non-fasting and fasting blood samples were obtained in all admitted patients. All samples were analyzed in the KKUH-KSUMC central laboratory, a participating and accredited member of the College of American Pathologists (CAP) Laboratory Accreditation Program. Laboratory investigations included glycemic [glycated hemoglobin (HbA1c), random and fasting blood glucose (RBG and FBG, respectively)], lipids [triglycerides, low-density lipoprotein (LDL-) and high-density lipoprotein (HDL)-cholesterol)] profiles of liver [alanine transferase (ALT), aspartate aminotransferase (AST) and lactate dehydrogenase (LDH)], renal [blood urea nitrogen (BUN) and creatinine] and inflammatory markers [ferritin, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP)] if available, were obtained. Serum 25(OH)D was assessed using CDC-approved vitamin D total assay kits (ADVIA Centaur®, Siemens Healthcare GmbH, Erlangen, Germany) as certified by the Vitamin D Standardization-Certification Program (VDSCP) [21], with an assay range of 9.3 to 375 nmol/l. For the purpose of this study, patients whose 25(OH)D levels were not assessed (N = 328), were excluded. The remaining 222 patients (N = 135 males and N = 87 females) were included in the data analysis. A flowchart of participants is provided in Fig. 1. Vitamin D deficiency [25(OH)D < 50 nmol/l] and severe vitamin D deficiency [25(OH)D < 12.5 nmol/l] were defined based on national and regional recommendations [22, 23].
Fig. 1

Flowchart of participants

Flowchart of participants

Data analysis

Data were analyzed using SPSS version 21.0 (IBM, Chicago, IL, USA). Categorical variables were presented as frequencies (N) and percentages (%). Continuous variables were presented as mean ± standard error (SE). Differences in categorical variables according to SARS-CoV-2 status were compared using Chi-Square test. Comparisons between continuous variables according to SARS-CoV-2 status were done using independent Student T test for normally distributed data and Mann–Whitney U test for non-normally distributed data. Analysis of covariance (ANCOVA) was used to obtain p values after adjusting with age, sex and BMI. Multivariate logistic regression analysis was done to determine independent predictors for outcomes of interest [death and SARS-CoV-2 (+)] using age, sex and BMI as covariates. Significance was set at p < 0.05. Post hoc power analysis was done using the G*Power software [24]. While the given the sample size and obtained 25(OH)D levels between groups yield 100% power to detect significant difference, the study was underpowered to detect an association between severe 25(OH)D deficiency and COVID-19 mortality, having only 21% power (odds ratio of 1.45), given α = 0.05.

Results

Table 1 shows the differences in the characteristics of hospitalized patients according to SARS-CoV-2 status. Overall, more than 60% of the patients were males. Males were also more common among those who tested positive (65%) and slightly higher in the negative group (52.8%) (not shown in table). No significant differences were observed in age and BMI. A significantly higher prevalence of Saudis tested negative as opposed to other nationalities (p = 0.004). In terms of pre-existing conditions, the negative group had a significantly higher prevalence of hypertension (p < 0.001), DM (p = 0.02), CVD (p = 0.003), CHF (p < 0.001), CKD (p < 0.001) and smoking (p < 0.001) than the positive group. In terms of medications, the negative group was also more likely to use β-blocker (p < 0.001), ACE inhibitors (p = 0.04), CCB, p = 0.04), statins (p = 0.03) and insulin (p = 0.002). While vitamin D deficiency was highly prevalent in all patients (75.1%), no significant differences were seen between groups. The rest of the comparisons were not significant (Table 1).
Table 1

General characteristics of patients

ParametersAllSARS-CoV-2 Statusp value
PositiveNegative
N (%)22215072
Sex (M/F)135/8797/5338/34
Age (years)56.6 ± 16.255.5 ± 15.859.1 ± 16.80.12
BMI (kg/m2)29.6 ± 7.729.6 ± 6.729.7 ± 9.40.93
Nationality (%)

 Saudi

 Non-Saudi

134 (60.4)

88 (39.6)

76 (50.7)

74 (49.3)

58 (80.6)

14 (19.4)

0.004
Pre-existing conditions (%)
 Obesity84 (37.8)57 (38)27 (37.5)0.99
 Hypertension121 (54.5)68 (45.3)53 (73.6)< 0.001
 Diabetes mellitus114 (47.3)68 (45.4)46 (63.8)0.02
 Cardiovascular disease34 (15.3)15 (10)19 (26.4)0.003
 Congestive heart failure27 (12.2)5 (3.3)22 (30.6)< 0.001
 Chronic kidney disease39 (17.6)15 (10)24 (33.3)< 0.001
 Stroke19 (8.6)10 (6.7)9 (12.5)0.20
 Smoking6 (2.7)1 (0.9)5 (6.9)< 0.001
 25(OH)D < 50 nmol/l166 (75.1)117 (78)49 (69)0.18
Medications (%)
 β-Blockers54 (24.3)24 (16.0)30 (41.7)< 0.001
 ACE inhibitors33 (14.9)17 (11.3)16 (22.2)0.04
 ARB29 (13.1)22 (14.7)7 (9.7)0.40
 CCB69 (31.1)40 (26.7)29 (40.3)0.04
 Statins77 (34.7)45 (30)32 (44.4)0.03
 Insulin46 (20.7)22 (14.7)24 (33.3)0.002
 Oral hypoglycemic78 (35.1)55 (36.7)23 (31.9)0.55
 Anti-coagulants11 (5.0)6 (4.0)5 (7.0)0.50
 Anti-platelets63 (28.4)38 (25.3)25 (34.7)0.16

Significant at p < 0.05

General characteristics of patients Saudi Non-Saudi 134 (60.4) 88 (39.6) 76 (50.7) 74 (49.3) 58 (80.6) 14 (19.4) Significant at p < 0.05 Table 2 shows the unadjusted and adjusted differences in radiologic and laboratory investigations of admitted patients based on SARS-CoV-2 status. Majority of those who tested positive presented with bilateral lung infiltrates (69.3%) which was significantly higher than those who tested negative (38.5%) (p < 0.001). The positive group also had significantly worse liver and lipid profiles than the negative group in terms of higher AST, LDH and triglycerides (adjusted p values 0.01, < 0.001 and 0.007, respectively). On the other hand, the negative group had significantly higher levels of BUN and creatinine than the positive group (adjusted p values 0.001 and < 0.001, respectively). With regard to inflammatory profile, only CRP levels were significantly higher in the positive than the negative group (adjusted p = 0.03). The positive group also had significantly higher HbA1c and FBG than the negative group (adjusted p values both at 0.02). (Table 2). Lastly, the positive group had significantly lower circulating 25(OH)D levels compared to the negative group, both in unadjusted (p = 0.025) and adjusted (p = 0.037) p values. In terms of outcome, however, no significant differences were seen in the vitamin D status of those discharged versus those who died (Fig. 2).
Table 2

Clinical characteristics of Covid-19 patients on admission

ParametersSARS-CoV-2 statusp value
PositiveNegativeUnadjustedAdjusted
N15072
Chest X-ray

 No infiltrates

 Unilateral infiltrates

 Bilateral infiltrates

29 (19.3)

17 (11.3)

104 (69.3)

22 (42.3)

10 (19.2)

20 (38.5)

< 0.001< 0.001
Liver profile
 ALT (U/l) (20–65)#52.9 ± 3.943.4 ± 7.7< 0.0010.63
 AST (U/l) (15–37)#52.3 ± 3.233.2 ± 3.9< 0.0010.01
 LDH (U/l) (84–246)#452.1 ± 15.0300.5 ± 18.4< 0.001< 0.001
Renal profile
 BUN (mmol/l) (2.5–6.4)#8.9 ± 0.713.9 ± 1.3< 0.0010.001
 Creatinine (µmol/l) (49–90)#160.1 ± 17.8331.1 ± 50.30.001< 0.001
Lipid profile
 Triglycerides (mmol/l)2.0 ± 0.11.4 ± 0.10.0040.007
 HDL-cholesterol (mmol/l)0.9 ± 0.081.1 ± 0.080.160.18
 LDL-cholesterol (mmol/l)2.0 ± 0.11.9 ± 0.20.550.80
Inflammatory profile
 Ferritin (µg/ml) (13–150)#1000.9 ± 106.9601.9 ± 149.4< 0.0010.11
 ESR (mm/h) (0–24)#76.8 ± 2.773.4 ± 4.80.640.23
 CRP (mg/l) (< 10.0)#110.4 ± 6.379.2 ± 11.9< 0.0010.03
Glycemic profile
 HbA1c (%)7.8 ± 0.27.1 ± 0.20.010.02
 FBG (mmol/l)9.7 ± 0.47.8 ± 0.50.0040.02
 RBG (mmol/l)9.9 ± 0.411.3 ± 0.90.180.17
 25(OH)D
 25(OH)D (nmol/l) (75–250)35.8 ± 1.542.5 ± 3.00.0250.037

#Non-normal variables; covariates include age, sex and BMI; significant at p < 0.05

Fig. 2

Differences in 25(OH)D levels according to a SARS-CoV-2 Status and b Outcome of hospitalized patients. Covariates for adjusted p value include age, sex and BMI

Clinical characteristics of Covid-19 patients on admission No infiltrates Unilateral infiltrates Bilateral infiltrates 29 (19.3) 17 (11.3) 104 (69.3) 22 (42.3) 10 (19.2) 20 (38.5) #Non-normal variables; covariates include age, sex and BMI; significant at p < 0.05 Differences in 25(OH)D levels according to a SARS-CoV-2 Status and b Outcome of hospitalized patients. Covariates for adjusted p value include age, sex and BMI In terms of clinical outcomes, no significant differences in groups were observed, with the exception of discharged patients, being significantly higher in the positive than the negative group (81.4 versus 65.3%; p = 0.01) (Table 3).
Table 3

Differences in outcomes

Outcome (%)AllSARS-CoV-2 statusp value
PositiveNegative
N22215072
Intubated30 (13.6)24 (16.0)6 (8.3)0.14
Admitted in ICU60 (27.3)46 (30.7)14 (19.4)0.08
Discharged165 (76.0)118 (81.4)47 (65.3)0.01
Death28 (12.8)21 (14.0)7 (9.7)0.39

Data presented as N (%); significant at p < 0.05

Differences in outcomes Data presented as N (%); significant at p < 0.05 In the last Table 4, predictors for SARS-CoV-2 (+) and death were determined using multivariate logistic regression analysis. Age above 60 years, presence of bilateral lung infiltrates and most pre-existing conditions (DM, HPN, CVD, CHF and CKD) were significantly associated with higher risk for SARS-CoV-2 even after adjusting for covariates (p values < 0.05). Both vitamin D deficiency at the mild [Odds ratio, OR 1.6 (95% confidence interval, CI 0.8–3.0)] and severe levels [OR 5.3 (95% CI 0.6–45.7)] also showed increased risk but were not statistically significant in both unadjusted (p = 0.10) and adjusted (p = 0.18) models. For death, significant predictors included male sex [OR 1.4 (0.63–3.1); p = 0.02], CVD [OR 2.5 (1.0–6.3); p = 0.048], CKD [OR 3.2 (1.3–7.6); p = 0.009] and severe vitamin D deficiency [OR 4.7 (1.0–21.3); p = 0.04]. CKD was the only significant predictor for death independent of age, sex and BMI [OR 3.5 (1.4–8.7); adjusted p = 0.008]. Worthy to note is that severe vitamin D deficiency was also associated with mortality but at borderline significance [OR 4.9 (0.9–25.8); p = 0.06]. The rest of the odds ratios and are shown in Table 4.
Table 4

Significant predictors of SARS-CoV-2 (+) and death using multivariate logistic regression analysis

PredictorSARS-CoV-2 ( +)Death
UnadjustedAdjustedUnadjustedAdjusted
OR (95% CI)p valueOR (95% CI)p valueOR (95% CI)p valueOR (95% CI)p value
Age > 60 years1.9 (1.1)0.031.4 (0.63–3.1)0.41
Male1.6 (0.9–2.9)0.093.3 (1.2–9.2)0.02
BMI > 30 kg/m21.0 (0.6–1.8)0.990.7 (0.3–1.6)0.39
Smoking12.5 (0.8–186)0.0712.8 (0.8–210)0.081.2 (0.1–13.2)0.851.7 (0.2–20.0)0.66
Bilateral infiltrates3.9 (1.9–8.2)< 0.0013.6 (1.7–7.1)0.0013.2 (0.9–11.2)0.072.9 (0.8–10.9)0.11
DM2.1 (1.2–3.8)0.012.1 (1.1–4.0)0.021.6 (0.7–3.6)0.251.7 (0.7–4.0)0.26
HPN3.4 (1.8–6.2) < 0.0013.2 (1.6–6.4)0.0011.2 (0.5–2.6)0.691.0 (0.4–2.6)0.99
CVD3.2 (1.5–6.8)0.0023.2 (1.4–7.2)0.0042.5 (1.0–6.3)0.0482.3 (0.8–6.1)0.10
CHF12.8 (4.6–36)< 0.00113.8 (4.7–39.9) < 0.0011.7 (0.6–4.8)0.351.4 (0.4–4.3)0.58
CKD4.5 (2.2–9.2)< 0.0013.8 (1.8–8.2)0.0013.2 (1.3–7.6)0.0093.5 (1.4–8.7)0.008
Stroke2.0 (0.8–5.2)0.151.7 (0.6–4.9)0.292.3 (0.7–7.5)0.182.0 (0.5–7.1)0.35
25(OH)D < 50 nmol/l1.6 (0.8–3.0)0.151.4 (0.7–2.8)0.301.2 (0.5–2.9)0.671.3 (0.5–3.2)0.61
25(OH)D < 12.5 nmol/l5.3 (0.6–45.7)0.104.5 (0.5–39.4)0.184.7 (1.0–21.3)0.044.9 (0.9–25.8)0.06

Covariates entered in the model: sex, age and BMI; significant at p < 0.05

Significant predictors of SARS-CoV-2 (+) and death using multivariate logistic regression analysis Covariates entered in the model: sex, age and BMI; significant at p < 0.05

Discussion

While the quest for effective therapies and vaccines against COVID-19 is still on-going with modest success, remedies aimed at SARS-CoV-2 prevention remain particularly imperative as the world learns to coexist with the pandemic. In the present retrospective, case–control study, results from the clinical data of hospitalized patients in Riyadh, Saudi Arabia indicate a very high prevalence of vitamin D deficiency over-all, and significantly lower 25(OH)D levels among SARS-CoV-2-positive as compared to SARS-CoV-2-negative patients. This statistical significance persisted even after adjusting for age, sex and BMI. Furthermore, severe vitamin D deficiency appears to be an independent predictor for COVID-19 mortality by as much as 5 times compared to those whose 25(OH)D levels were higher. The present study is one of the few to use confirmed SARS-CoV-2-negative patients as controls, and the first in the Arabian Gulf region. The significantly lower 25(OH)D levels among hospitalized COVID-19 patients are in harmony with other case–control findings obtained in Spain [13] and China [16], although the controls used in the mentioned studies were apparently healthy individuals from population-based cohorts that were matched for age and sex. It also supports the growing evidence linking vitamin D deficiency with severity of COVID-19 outcomes [25-27]. A big difference in the present study as compared to other case–control investigations is that all patients were not only confirmed hospital admissions, but all have been screened for SARS-CoV-2 before stratification to positive and negative groups in the same time frame, potentially narrowing selection bias which is a limitation of previous studies. In the present study, all the pre-existing conditions where vitamin D deficiency is known to be prevalent (DM, HPN, CVD, CHF, CKD and stroke) were significant predictors for COVID-19 infection independent of age, sex and BMI. Furthermore, CKD was an important predictor of COVID-19 mortality in the present cohort even after adjusting for established covariates. While severe vitamin D deficiency was a significant predictor of death only in the unadjusted model, the risk is nevertheless elevated even in the adjusted models, albeit at borderline significance. CKD, and kidney diseases in general, impairs vitamin D catabolism [28]. Levels of circulating 25(OH)D were observed to substantially fall parallel to decreasing glomerular filtration rate (GFR) [29]. Severe vitamin D deficiency can therefore be linked to COVID-19 mortality indirectly, depending on the extent of renal damage and existing renal disorders. The absence of significant risk in mortality observed in SARS-CoV-2-positive patients with DM alone and/or obesity alone has been documented in similar retrospective studies done within the Arab Gulf region [19, 30], and suggests that the increased risk for COVID-19 death is multifactorial and is probably associated more on the cumulative effects of DM and/or obesity clustering with other chronic diseases, or cardiometabolic multi-morbidity, which are exacerbated in acute complications [31]. Finally, it is worthy to note that more men had COVID-19 than women in the present study, confirming other retrospective studies done in Saudi Arabia where males also had worse outcomes than their female counterparts [19, 30]. The male sex being an independent risk factor for SARS-CoV-2 can be attributed to many factors, but mostly for the lack of immune-boosting estrogen. 17β-estradiol, in particular, a female hormone in which biosynthesis is regulated by vitamin D via calcium homeostasis [32], has many physiologic actions in terms of the RAS system activation, anti-inflammation, anti-viral protection and endolysosomal degradation [33]. The authors acknowledge some limitations. The lack of statistical significance in eliciting an association between severe vitamin D deficiency and mortality was clearly due to low sample size. Furthermore, the findings only apply to hospitalized patients with pre-existing conditions and not the general community to eliminate selection bias (Berkson’s). This is especially true in the present study, given the nature of 25(OH)D as a negative acute-phase reactant for both acute and chronic inflammatory-state diseases [34, 35]. Having mentioned such, it is nevertheless safe to assume that the majority of the participants already had vitamin D deficiency, given their age and pre-existing conditions, all of which are associated with chronic, low-grade systematic inflammation [36]. Lastly, the nature of the retrospective design and the small number of admitted patients swabbed made it difficult to properly match the positive and negative cases, hence the discrepancy in the presence of pre-existing conditions. Nevertheless, the study is the first of its kind to compare the clinical characteristics of hospitalized patients screened for SARS-COV2 in the Gulf region, and to demonstrate differences and associations of vitamin D levels to COVID-19 and mortality among hospitalized patients. In summary, the prevalence of vitamin D deficiency among hospitalized patients screened for SARS-CoV-2 in Saudi Arabia is remarkably high and is significantly lower in SARS-CoV-2-positive patients, even after adjusting for covariates known to influence vitamin D. Severe vitamin D deficiency, however, is not associated with SARS-CoV-2 infection and is more related to increased mortality risk. The present findings support large-scale clinical trials to confirm whether manipulating vitamin D status through supplementation offers beneficial effects in COVID-19 prevention and treatment, particularly among high-risk individuals living in regions where both vitamin D deficiency and SARS-CoV-2 infection are highly prevalent.
  8 in total

1.  Mitochondrial Fatty Acid β-Oxidation Inhibition Promotes Glucose Utilization and Protein Deposition through Energy Homeostasis Remodeling in Fish.

Authors:  Ling-Yu Li; Jia-Min Li; Li-Jun Ning; Dong-Liang Lu; Yuan Luo; Qiang Ma; Samwel Mchele Limbu; Dong-Liang Li; Li-Qiao Chen; Irfan J Lodhi; Pascal Degrace; Mei-Ling Zhang; Zhen-Yu Du
Journal:  J Nutr       Date:  2020-09-01       Impact factor: 4.798

2.  Vitamin D status correction in Saudi Arabia: an experts' consensus under the auspices of the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis, and Musculoskeletal Diseases (ESCEO).

Authors:  Nasser M Al-Daghri; Yousef Al-Saleh; Naji Aljohani; Riad Sulimani; Abdulaziz M Al-Othman; Hanan Alfawaz; Mona Fouda; Fahad Al-Amri; Awad Shahrani; Mohammed Alharbi; Fahad Alshahrani; Waleed Tamimi; Shaun Sabico; Rene Rizzoli; Jean-Yves Reginster
Journal:  Arch Osteoporos       Date:  2016-12-21       Impact factor: 2.617

3.  Does Serum Vitamin D Level Affect COVID-19 Infection and Its Severity?-A Case-Control Study.

Authors:  Kun Ye; Fen Tang; Xin Liao; Benjamin A Shaw; Meiqiu Deng; Guangyi Huang; Zhiqiang Qin; Xiaomei Peng; Hewei Xiao; Chunxia Chen; Xiaochun Liu; Leping Ning; Bangqin Wang; Ningning Tang; Min Li; Fan Xu; Shao Lin; Jianrong Yang
Journal:  J Am Coll Nutr       Date:  2020-10-13       Impact factor: 3.169

4.  Low plasma 25(OH) vitamin D level is associated with increased risk of COVID-19 infection: an Israeli population-based study.

Authors:  Eugene Merzon; Dmitry Tworowski; Alessandro Gorohovski; Shlomo Vinker; Avivit Golan Cohen; Ilan Green; Milana Frenkel-Morgenstern
Journal:  FEBS J       Date:  2020-08-28       Impact factor: 5.622

5.  Prevalence of diabetes, management and outcomes among Covid-19 adult patients admitted in a specialized tertiary hospital in Riyadh, Saudi Arabia.

Authors:  Eman Sheshah; Shaun Sabico; Rashed M Albakr; Anmar A Sultan; Khalaf S Alghamdi; Khaled Al Madani; Hadil A Alotair; Nasser M Al-Daghri
Journal:  Diabetes Res Clin Pract       Date:  2020-11-13       Impact factor: 8.180

6.  Possible association of vitamin D status with lung involvement and outcome in patients with COVID-19: a retrospective study.

Authors:  Alireza Abrishami; Nooshin Dalili; Peyman Mohammadi Torbati; Reyhaneh Asgari; Mehran Arab-Ahmadi; Behdad Behnam; Morteza Sanei-Taheri
Journal:  Eur J Nutr       Date:  2020-10-30       Impact factor: 5.614

7.  Vitamin D status and outcomes for hospitalised older patients with COVID-19.

Authors:  Vadir Baktash; Tom Hosack; Nishil Patel; Shital Shah; Pirabakaran Kandiah; Koenraad Van den Abbeele; Amit K J Mandal; Constantinos G Missouris
Journal:  Postgrad Med J       Date:  2020-08-27       Impact factor: 2.401

8.  Possible protective role of 17β-estradiol against COVID-19.

Authors:  Nabab Khan
Journal:  J Allergy Infect Dis       Date:  2020-08-19
  8 in total
  34 in total

1.  Vitamin D 25OH Deficiency and Mortality in Moderate to Severe COVID-19: A Multi-Center Prospective Observational Study.

Authors:  Laura Bogliolo; Emanuele Cereda; Catherine Klersy; Ludovico De Stefano; Federica Lobascio; Sara Masi; Silvia Crotti; Serena Bugatti; Carlomaurizio Montecucco; Stefania Demontis; Annalisa Mascheroni; Nadia Cerutti; Alberto Malesci; Salvatore Corrao; Riccardo Caccialanza
Journal:  Front Nutr       Date:  2022-07-05

Review 2.  Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Abraham Degarege; Zaeema Naveed; Josiane Kabayundo; David Brett-Major
Journal:  Pathogens       Date:  2022-05-10

Review 3.  Calcifediol for Use in Treatment of Respiratory Disease.

Authors:  Marta Entrenas-Castillo; Lourdes Salinero-González; Luis M Entrenas-Costa; Rubén Andújar-Espinosa
Journal:  Nutrients       Date:  2022-06-13       Impact factor: 6.706

4.  The impact of obesity on hospitalized patients with COVID-19 infection in the Eastern Province of Saudi Arabia.

Authors:  Dania AlKhafaji; Reem Al Argan; Salma Albahrani; Abdulmohsen Al Elq; Waleed Albaker; Mohammed Al-Hariri; Abrar Alwaheed; Safi Alqatari; Alaa Alzaki; Abir Alsaid; Marwan Alwazzeh; Fatimah AlRubaish; Zainab Alelq; Tariq Alsaif; Mohammad Zeeshan; Nada Alzahrani; Abdulrahman Alhusil; Batool Gasmelseed; Fatma Zainuddin; Amani Alhwiesh; Nafie Alrubaish
Journal:  J Med Life       Date:  2022-03

5.  A systematic review and meta-analysis of effect of vitamin D levels on the incidence of COVID-19.

Authors:  Luiza Szarpak; Zubaid Rafique; Aleksandra Gasecka; Francesco Chirico; Wladyslaw Gawel; Jacek Hernik; Halla Kaminska; Krzysztof J Filipiak; Milosz J Jaguszewski; Lukasz Szarpak
Journal:  Cardiol J       Date:  2021-07-26       Impact factor: 2.737

Review 6.  Vitamin D and coronavirus disease 2019 (COVID-19): rapid evidence review.

Authors:  Zahra Raisi-Estabragh; Adrian R Martineau; Elizabeth M Curtis; Rebecca J Moon; Andrea Darling; Susan Lanham-New; Kate A Ward; Cyrus Cooper; Patricia B Munroe; Steffen E Petersen; Nicholas C Harvey
Journal:  Aging Clin Exp Res       Date:  2021-06-12       Impact factor: 3.636

7.  COVID-19 Disease Severity and Death in Relation to Vitamin D Status among SARS-CoV-2-Positive UAE Residents.

Authors:  Habiba AlSafar; William B Grant; Rafiq Hijazi; Maimunah Uddin; Nawal Alkaabi; Guan Tay; Bassam Mahboub; Fatme Al Anouti
Journal:  Nutrients       Date:  2021-05-19       Impact factor: 5.717

Review 8.  Shedding light on vitamin D: the shared mechanistic and pathophysiological role between hypovitaminosis D and COVID-19 risk factors and complications.

Authors:  Esraa Menshawey; Rahma Menshawey; Omnia Azmy Nabeh
Journal:  Inflammopharmacology       Date:  2021-06-29       Impact factor: 4.473

9.  Dietary Intake and Supplement Use Among Saudi Residents during COVID-19 Lockdown.

Authors:  Hanan A Alfawaz; Nasiruddin Khan; Ghadah A Aljumah; Syed D Hussain; Nasser M Al-Daghri
Journal:  Int J Environ Res Public Health       Date:  2021-06-14       Impact factor: 3.390

10.  Investigating the Relationship between Vitamin D and Persistent Symptoms Following SARS-CoV-2 Infection.

Authors:  Liam Townsend; Adam H Dyer; Patrick McCluskey; Kate O'Brien; Joanne Dowds; Eamon Laird; Ciaran Bannan; Nollaig M Bourke; Cliona Ní Cheallaigh; Declan G Byrne; Rose Anne Kenny
Journal:  Nutrients       Date:  2021-07-15       Impact factor: 5.717

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.