All Studies Meta Analysis

The risk of up normal values of two parameters obesity and vitamin D in incidence of coronavirus disease-19 among Iraqi patients

Allami et al., 1st Samarra International Conference for Pure and Applied Sciences (SICPS2021), doi:10.1063/5.0121166

Nov 2022

Post
Facebook

Source PDF All Studies Meta AnalysisMeta

Download Image

Vitamin D for COVID-19

8th treatment shown to reduce risk in October 2020, now with p < 0.00000000001 from 122 studies, recognized in 9 countries.

Lower risk for mortality, ICU admission, hospitalization, progression, recovery, cases, and viral clearance.

No treatment is 100% effective. Protocols combine treatments.

5,100+ studies for 109 treatments. c19early.org

Retrospective 86 COVID-19 hospitalized patients and 86 healthy controls in Iraq, showing COVID-19 cases associated with severe vitamin D deficiency.

This is the 150th of 209 COVID-19 sufficiency studies for vitamin D, which collectively show higher levels reduce risk with p<0.0000000001 (1 in 293,154,636 vigintillion).

Important missing comments or errors? Let us know.

risk of hospitalization, 92.5% lower, OR 0.07, p < 0.001, high D levels (≥10ng/mL) 91, low D levels (<10ng/mL) 80, adjusted per study, inverted to make OR<1 favor high D levels (≥10ng/mL), case control OR, multivariable.

Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates

Allami et al., 8 Nov 2022, retrospective, Iraq, peer-reviewed, 6 authors. Contact: ahmed.suleiman@uoanbar.edu.iq.

This Paper Vitamin D All

The Risk of Up Normal Values of Two Parameters Obesity and Vitamin D in Incidence of Coronavirus Disease-19 Among Iraqi Patients

Risala H Allami, Ahmed A Suleiman, Raghad S Mouhamad, Maha H Abdullah, Mustafa Y Alsudani, Ali H Adhiah

The new epidemic of coronavirus disease-19 outbreak has caused rapid morbidity and mortality rates worldwide, and health parameters have been proposed to influence disease progression. Among these parameters are index of body mass (BMI) and D vitamin. 86 patients with same number of control were studied( case-control) to find the relationship between the BMI, vitamin D and risk of COVID-19. Vitamin D (25-hydroxyvitamin D) serum level was estimated by ELISA. Results revealed that the age mean value was elevated significantly in cases compared to normal persons , and 50% of patients were 50 years of age or older. patients BMI were higher significantly in comparison with controls, and most of patients were overweight/obese (76.7%). The Vitamin D level decreased in patients significantly compared to control, and most of patients were severely-deficient (75.6%). Logistic-regression-analysis depicted a high risk of COVID-19 in obese cases (OR= 26.39; 95% interval of confidence [CI]: 7.02-99.24; p < 0.001), and in patients with severe deficient in vitamin D (OR = 13.34; 95% CI: 6.32-28.19; < 0.001). Moreover, overweight/obese patients severely deficient in vitamin D were at high risk of developing COVID-19 infection (OR = 230.55; 95% CI: 43.98-1208.67; p < 0.001). Curve analysis of ROC(Receiver-operating-characteristic) showed that BMI and vitamin D occupied under curve significant area (0.770 and 0.864, respectively). In conclusions, the study indicated that individuals who were overweight/obese and severely deficient in vitamin D were more susceptible to develop COVID-19.

References

Ali, None, J. Infect. Public Health, doi:10.1016/j.jiph.2020.06.021

Amiri, Behnezhad, Hasani, None, Obes. Med, doi:10.1016/j.obmed.2020.100196

Annweiler, Cao, Sabatier, None, Maturitas, doi:10.1016/j.maturitas.2020.06.003

De Heredia, Gómez-Martínez, Marcos, None, CUP

Ge, Wang, Yuan, Xiao, Wang et al., None, Eur. J. Clin. Microbiol. Infect. Dis, doi:10.1007/s10096-020-03874-z

Gombart, None, Future Microbiol

Hegde, Dhurandhar, None, Clin. Microbiol. Infect

Holick, None, Rev. Endocr. Metab. Disord, doi:10.1007/s11154-017-9424-1

Hussain, Mahawar, Xia, Yang, El-Hasani, None, Obes. Res. Clin. Pract, doi:10.1016/j.orcp.2020.07.002

Kennel, Drake, Hurley, None, Mayo Clin. Proc

Kościuczuk, Lisowski, Jarczak, Strzałkowska, Jóźwik et al., None, Mol. Biol. Rep

Lee, None, Best Pract. Res. Clin. Endocrinol. Metab, doi:10.1016/j.beem.2011.03.001

Lisowski, Jarczak, Strzałkowska, Jóźwik, Horbańczuk et al., None, Mol. Biol. Rep

Liu, Zhang, Li, Li, Zhou et al., None, J. Clin. Virol

Maresova, Javanmardi, Barakovic, Barakovic, Husic et al., None, BMC Public Health, doi:10.1186/s12889-019-7762-5

Montecino-Rodriguez, Berent-Maoz, Dorshkind, None, J. Clin. Invest

Muscogiuri, Pugliese, Barrea, Savastano, Colao, None, Metabolism, doi:10.1016/j.metabol.2020.154251

Nuttall, None, Nutr. Today, doi:10.1097/NT.0000000000000092

O'shea, Corrigan, Dunne, Jackson, Woods et al., None, Int. J. Obes, doi:10.1038/ijo.2013.16

Palacios, Gonzalez, None, J. Steroid Biochem. Mol. Biol, doi:10.1016/j.jsbmb.2013.11.003

Pan, Liu, Wang, Guo, Hao et al., None, JAMA -J. Am. Med. Assoc, doi:10.1001/jama.2020.6130

Peng, None, Biomed. Pharmacother, doi:10.1016/j.biopha.2020.110499

Prietl, Treiber, Pieber, Amrein, None, Nutrients, doi:10.3390/nu5072502

Quesada-Gomez, Castillo, Bouillon, None, J. Steroid Biochem. Mol. Biol, doi:10.1016/j.jsbmb.2020.105719

Rojas-Osornio, Cruz-Hernández, Drago-Serrano, Campos-Rodríguez, None, Obes. Res. Clin. Pract, doi:10.1016/j.orcp.2019.05.003

Tamara, Tahapary, None, Diabetes Metab. Syndr. Clin. Res. Rev, doi:10.1016/j.dsx.2020.05.020

Wilder-Smith, Chiew, Lee, None, Lancet Infect. Dis, doi:10.1016/S1473-3099(20)30129-8

Yang, Liu, Zhang, Li, Li et al., None, J. Clin. Virol, doi:10.1016/j.jcv.2020.104475

Yegorov, Bromage, Boldbaatar, Ganmaa, None, Front. Nutr, doi:10.3389/fnut.2019.00166

{ 'indexed': {'date-parts': [[2023, 4, 20]], 'date-time': '2023-04-20T05:31:33Z', 'timestamp': 1681968693308}, 'reference-count': 29, 'publisher': 'AIP Publishing', 'content-domain': {'domain': [], 'crossmark-restriction': False}, 'published-print': {'date-parts': [[2022]]}, 'DOI': '10.1063/5.0121166', 'type': 'proceedings-article', 'created': {'date-parts': [[2022, 11, 9]], 'date-time': '2022-11-09T01:30:26Z', 'timestamp': 1667957426000}, 'source': 'Crossref', 'is-referenced-by-count': 0, 'title': 'The risk of up normal values of two parameters obesity and vitamin D in incidence of coronavirus ' 'disease-19 among Iraqi patients', 'prefix': '10.1063', 'author': [ {'given': 'Risala H.', 'family': 'Allami', 'sequence': 'first', 'affiliation': []}, {'given': 'Ahmed A.', 'family': 'Suleiman', 'sequence': 'additional', 'affiliation': []}, {'given': 'Raghad S.', 'family': 'Mouhamad', 'sequence': 'additional', 'affiliation': []}, {'given': 'Maha H.', 'family': 'Abdullah', 'sequence': 'additional', 'affiliation': []}, {'given': 'Mustafa Y.', 'family': 'Alsudani', 'sequence': 'additional', 'affiliation': []}, {'given': 'Ali H.', 'family': 'Adhiah', 'sequence': 'additional', 'affiliation': []}], 'member': '317', 'reference': [ { 'key': '10.1063/5.0121166_c1', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.jiph.2020.06.021'}, { 'key': '10.1063/5.0121166_c2', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.obmed.2020.100196'}, { 'key': '10.1063/5.0121166_c3', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.maturitas.2020.06.003'}, { 'key': '10.1063/5.0121166_c4', 'doi-asserted-by': 'crossref', 'unstructured': 'F.P. De Heredia, S. Gómez-Martínez, A. Marcos. CUP. 332–338. (2012).', 'DOI': '10.1017/S0029665112000092'}, { 'key': '10.1063/5.0121166_c5', 'doi-asserted-by': 'publisher', 'DOI': '10.1007/s10096-020-03874-z'}, {'key': '10.1063/5.0121166_c6', 'unstructured': 'A.F. Gombart. Future Microbiol. (2009).'}, { 'key': '10.1063/5.0121166_c7', 'unstructured': 'V. Hegde, N. V. Dhurandhar. Clin. Microbiol. Infect. (2013).'}, { 'key': '10.1063/5.0121166_c8', 'doi-asserted-by': 'publisher', 'DOI': '10.1007/s11154-017-9424-1'}, { 'key': '10.1063/5.0121166_c9', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.orcp.2020.07.002'}, { 'key': '10.1063/5.0121166_c10', 'unstructured': 'K.A. Kennel, M.T. Drake, D.L. Hurley. Mayo Clin. Proc. (2010).'}, { 'key': '10.1063/5.0121166_c11', 'unstructured': 'E.M. Kościuczuk, P.Lisowski, J. Jarczak, N. Strzałkowska, A. Jóźwik, J. ' 'Horbańczuk, J. Krzyżewski, L. Zwierzchowski, E. Bagnicka. Mol. Biol. ' 'Rep. (2012).'}, { 'key': '10.1063/5.0121166_c12', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.beem.2011.03.001'}, { 'key': '10.1063/5.0121166_c13', 'doi-asserted-by': 'publisher', 'DOI': '10.1186/s12889-019-7762-5'}, { 'key': '10.1063/5.0121166_c14', 'unstructured': 'E. Montecino-Rodriguez, B. Berent-Maoz, K. Dorshkind. J. Clin. Invest. ' '(2013).'}, { 'key': '10.1063/5.0121166_c15', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.metabol.2020.154251'}, { 'key': '10.1063/5.0121166_c16', 'doi-asserted-by': 'publisher', 'DOI': '10.1097/NT.0000000000000092'}, { 'key': '10.1063/5.0121166_c17', 'unstructured': 'P.Lisowski, J. Jarczak, N. Strzałkowska, A. Jóźwik, J. Horbańczuk, J. ' 'Krzyżewski, L. Zwierzchowski, E. Bagnicka. Mol. Biol. Rep. (2013).'}, { 'key': '10.1063/5.0121166_c18', 'doi-asserted-by': 'publisher', 'DOI': '10.1038/ijo.2013.16'}, { 'key': '10.1063/5.0121166_c19', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.jsbmb.2013.11.003'}, { 'key': '10.1063/5.0121166_c20', 'doi-asserted-by': 'publisher', 'DOI': '10.1001/jama.2020.6130'}, { 'key': '10.1063/5.0121166_c21', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.biopha.2020.110499'}, {'key': '10.1063/5.0121166_c22', 'doi-asserted-by': 'publisher', 'DOI': '10.3390/nu5072502'}, { 'key': '10.1063/5.0121166_c23', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.jsbmb.2020.105719'}, { 'key': '10.1063/5.0121166_c24', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.orcp.2019.05.003'}, { 'key': '10.1063/5.0121166_c25', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.dsx.2020.05.020'}, { 'key': '10.1063/5.0121166_c26', 'unstructured': 'J. Liu, R. Zhang, M. Li, Z. Li, X. Zhou, C. Hu, F. Tian, F. Zhou, Y. ' 'Lei. J. Clin. Virol. 129. 104475. (2019).'}, { 'key': '10.1063/5.0121166_c27', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/S1473-3099(20)30129-8'}, { 'key': '10.1063/5.0121166_c28', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.jcv.2020.104475'}, { 'key': '10.1063/5.0121166_c29', 'doi-asserted-by': 'publisher', 'DOI': '10.3389/fnut.2019.00166'}], 'event': '1ST SAMARRA INTERNATIONAL CONFERENCE FOR PURE AND APPLIED SCIENCES (SICPS2021): SICPS2021', 'container-title': '1ST SAMARRA INTERNATIONAL CONFERENCE FOR PURE AND APPLIED SCIENCES (SICPS2021): ' 'SICPS2021', 'original-title': [], 'link': [ { 'URL': 'http://aip.scitation.org/doi/pdf/10.1063/5.0121166', 'content-type': 'unspecified', 'content-version': 'vor', 'intended-application': 'similarity-checking'}], 'deposited': { 'date-parts': [[2023, 4, 20]], 'date-time': '2023-04-20T01:58:33Z', 'timestamp': 1681955913000}, 'score': 1, 'resource': {'primary': {'URL': 'https://pubs.aip.org/aip/acp/article/2820933'}}, 'subtitle': [], 'short-title': [], 'issued': {'date-parts': [[2022]]}, 'references-count': 29, 'URL': 'http://dx.doi.org/10.1063/5.0121166', 'relation': {}, 'ISSN': ['0094-243X'], 'published': {'date-parts': [[2022]]}}

Download Image

Please send us corrections, updates, or comments. c19early involves the extraction of 100,000+ datapoints from thousands of papers. Community updates help ensure high accuracy. Treatments and other interventions are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment or intervention is 100% available and effective for all current and future variants. We do not provide medical advice. Before taking any medication, consult a qualified physician who can provide personalized advice and details of risks and benefits based on your medical history and situation. FLCCC and WCH provide treatment protocols.

Submit

Post

@CovidAnalysis

FAQ

Public domain CC0 1.0