| Literature DB >> 33646505 |
Jesús Porta-Etessam1,2,3, Iván J Núñez-Gil4, Nuria González García4,5, Cristina Fernandez-Perez6, María C Viana-Llamas7, Charbel Maroun Eid8, Rodolfo Romero9, María Molina10, Aitor Uribarri11, Victor Manuel Becerra-Muñoz12, Marcos García Aguado13, Jia Huang14, Elisa Rondano15, Enrico Cerrato16, Emilio Alfonso17, Alex Fernando Castro Mejía18, Francisco Marin19, Sergio Raposeiras Roubin20, Martino Pepe21, Gisela Feltes22, Paloma Maté23, Bernardo Cortese24, Luis Buzón25, Jorge Játiva Mendez26, Vicente Estrada4.
Abstract
Olfactory and gustatory dysfunctions (OGD) are a frequent symptom of coronavirus disease 2019 (COVID-19). It has been proposed that the neuroinvasive potential of the novel SARS-CoV-2 could be due to olfactory bulb invasion, conversely studies suggest it could be a good prognostic factor. The aim of the current study was to investigate the prognosis value of OGD in COVID-19. These symptoms were recorded on admission from a cohort study of 5868 patients with confirmed or highly suspected COVID-19 infection included in the multicenter international HOPE Registry (NCT04334291). There was statistical relation in multivariate analysis for OGD in gender, more frequent in female 12.41% vs 8.67% in male, related to age, more frequent under 65 years, presence of hypertension, dyslipidemia, diabetes, smoke, renal insufficiency, lung, heart, cancer and neurological disease. We did not find statistical differences in pregnant (p = 0.505), patient suffering cognitive (p = 0.484), liver (p = 0.1) or immune disease (p = 0.32). There was inverse relation (protective) between OGD and prone positioning (0.005) and death (< 0.0001), but no with ICU (0.165) or mechanical ventilation (0.292). On univariable logistic regression, OGD was found to be inversely related to death in COVID-19 patients. The odds ratio was 0.26 (0.15-0.44) (p < 0.001) and Z was - 5.05. The presence of anosmia is fundamental in the diagnosis of SARS.CoV-2 infection, but also could be important in classifying patients and in therapeutic decisions. Even more knowing that it is an early symptom of the disease. Knowing that other situations as being Afro-American or Latino-American, hypertension, renal insufficiency, or increase of C-reactive protein (CRP) imply a worse prognosis we can make a clinical score to estimate the vital prognosis of the patient. The exact pathogenesis of SARS-CoV-2 that causes olfactory and gustative disorders remains unknown but seems related to the prognosis. This point is fundamental, insomuch as could be a plausible way to find a treatment.Entities:
Keywords: Anosmia; COVID-19; Hospital; Pathophysiology; Prognosis; SARS-COV-2
Year: 2021 PMID: 33646505 PMCID: PMC7917537 DOI: 10.1007/s15010-021-01587-9
Source DB: PubMed Journal: Infection ISSN: 0300-8126 Impact factor: 3.553
Baseline demographics and clinical findings of COVID-19 individuals with or without olfactive and gustatory disfunction with hospital admission determined using multivariate analysis
| OGD | |||||||
|---|---|---|---|---|---|---|---|
| Gender | |||||||
| Female | 2006 | 40.8% | 249 | 12.41% | 0.0001 | ||
| Male | 2906 | 59.2% | 252 | 8.67% | |||
| Age | |||||||
| 52 | 1190 | 24.7% | 188 | 15.80% | 0.0001 | ||
| 53–65 | 1150 | 23.8% | 178 | 15.48% | |||
| 66–76 | 1249 | 25.9% | 88 | 7.05% | |||
| > 76 | 1238 | 25.6% | 43 | 3.47% | |||
| Ethnicity | |||||||
| Afro-American | 29 | 0.6% | 17 | 58.62% | 0.0001 | ||
| Caucasian | 4152 | 84.5% | 331 | 7.97% | |||
| Latino-American | 563 | 11.5% | 142 | 25.22% | |||
| Asian | 133 | 2.7% | 7 | 5.26% | |||
| Other | 35 | 0.7% | 4 | 11.43% | |||
| Pregnant | |||||||
| No | 4893 | 99.6% | 498 | 10.18% | 0.505 | ||
| Yes | 19 | 0.4% | 3 | 15.79% | |||
| HTA | |||||||
| No | 2475 | 50.5% | 287 | 11.60% | 0.003 | ||
| Yes | 2423 | 49.5% | 211 | 8.71% | |||
| Dyslipidemia | |||||||
| No | 3217 | 65.9% | 367 | 11.41% | 0.0001 | ||
| Yes | 1666 | 34.1% | 128 | 7.68% | |||
| DM | |||||||
| No | 3960 | 80.6% | 436 | 11.01% | 0.0001 | ||
| Yes | 952 | 19.4% | 65 | 6.83% | |||
| Smoking | |||||||
| Ex | 799 | 18% | 63 | 7.88% | 0.0001 | ||
| No | 3403 | 76.8% | 346 | 10.17% | |||
| Yes | 230 | 5.2% | 64 | 27.83% | |||
| Renal insufficiency | |||||||
| No | 4582 | 93.3% | 482 | 10.52% | 0.012 | ||
| Yes | 329 | 6.7% | 19 | 5.78% | |||
| Lung disease | |||||||
| No | 3965 | 80,7% | 428 | 10,79% | 0.010 | ||
| Yes | 947 | 19.3% | 73 | 7.71% | |||
| Heart disease | |||||||
| 0 | 3721 | 76.4% | 405 | 10.88% | 0.011 | ||
| 1 | 1148 | 23.6% | 92 | 8.01% | |||
| Neurological disease | |||||||
| No | 4442 | 91.8% | 478 | 10.76% | 0.0001 | ||
| Yes | 395 | 8.2% | 15 | 3.80% | |||
| Connective tissue disease | |||||||
| No | 4713 | 97,3% | 477 | 10,12% | 0.484 | ||
| Yes | 131 | 2.7% | 16 | 12.21% | |||
| Liver disease | |||||||
| No | 4645 | 96.1% | 482 | 10.38% | 0.1 | ||
| Yes | 189 | 3.9% | 12 | 6.35% | |||
| Cancer | |||||||
| No | 4180 | 86.2% | 446 | 10.67% | 0.003 | ||
| Yes | 667 | 13.8% | 44 | 6.60% | |||
| Immune disease | |||||||
| No | 4229 | 92.5% | 437 | 10.33% | 0.329 | ||
| Yes | 344 | 7.5% | 42 | 12.21% | |||
Risk estimation in OGD vs no OGD patients
| Variable | No OGD | OGD | OR | Interval | |
|---|---|---|---|---|---|
| ICU admission | 303 (6.02%) | 37 (7.4%) | 1.213 | 0.851–1.729 | 0.165 |
| Prone positioning | 495 (10.40%) | 33 (6.70%) | 0.626 | 0.434–0.902 | 0.005 |
| Mechanical ventilation | 346 (7.20%) | 39 (8.00%) | 1.116 | 0.79–1.576 | 0.292 |
| Death | 1079 (22.00%) | 30 (6.00%) | 0.226 | 0.155–0.329 | > 0.0001 |
Cox multivariate regression analysis regarding anosmia and other risk factors associated with in-hospital death
| Variable | OR | 95% Confidence Interval | ||||
|---|---|---|---|---|---|---|
| Olfactive disorder | 0.26 | 0.15 | 0.44 | -5.05 | ||
| Hypertension | 1.61 | 1.31 | 1.98 | 4.51 | ||
| Obesity | 1.12 | 0.91 | 1.39 | 0.292 | 1.05 | |
| Renal insufficiency | 3.58 | 2.61 | 4.89 | 7.96 | ||
| Autoimmune disease | 2.43 | 1.76 | 3.34 | 5.44 | ||
| Sat O2 < 92% | 5.72 | 4.71 | 6.95 | 17.57 | ||
| Increase CRP | 1.86 | 1.20 | 2.89 | 2.77 | ||
| Age > 70 years | 4.00 | 3.23 | 2.89 | 4.94 | ||
Fig. 1Cox multivariate regression OR analysis regarding anosmia and other risk factors associated with in-hospital death. Y axis diseases, X axis odds ratio