Headache may not be linked with severity of coronavirus disease 2019 (COVID-19)

Ramphul, Kamleshun; Mejias, Stephanie G; Ramphul, Yogeshwaree

doi:10.5847/wjem.j.1920-8642.2020.04.014

Cited by 9 publications

(9 citation statements)

References 9 publications

(7 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Die Schwere der COVID-19-Infektion scheint zwar nicht in Zusammenhang mit dem Vorhandensein oder Nicht-Vorhandensein der Kopfschmerzen zu stehen [27]. Es gibt aber Hinweise darauf, dass Kopfschmerzen mit einem kürzeren Verlauf der Infektionserkrankung verbunden sein könnten [20].…”

Section: Kopfschmerzen Als Symptom Einer Covid-19-infektionunclassified

COVID-19 und Kopfschmerzen

Pohl

Gantenbein

2021

Praxis

View full text Add to dashboard Cite

Zusammenfassung. Kopfschmerzen sind ein häufiges Symptom einer COVID-19-Infektion und werden typischerweise als bilateral lokalisiert, frontal betont, drückend und mittelstark bis stark beschrieben. Die Unterscheidung von primären Kopfschmerzerkrankungen gelingt in der Regel durch die systematische Suche nach «Red Flags»; meist werden die Kopfschmerzen von Fieber, Husten oder erhöhten Entzündungsparametern im Blut begleitet. Früher geäusserte Bedenken gegen den Einsatz von Ibuprofen zur symptomatischen Kopfschmerztherapie bei Patientinnen und Patienten mit COVID-19 werden durch prospektive Studien nicht unterstützt. Während das Tragen von Masken sehr oft zu Kopfschmerzen führt, die wahrscheinlich durch Kompression sensibler Nerven ausgelöst werden, wirkt sich der Lockdown in der Regel positiv auf eine vorbestehende Migräne aus. Die Behandlung von Betroffenen mit primären Kopfschmerzen wird durch Quarantäneregeln erschwert, weshalb viele Zentren auf virtuelle Konsultationen setzen.

show abstract

Section: Kopfschmerzen Als Symptom Einer Covid-19-infektionunclassified

COVID-19 und Kopfschmerzen

Pohl

Gantenbein

2021

Praxis

View full text Add to dashboard Cite

show abstract

“…Almost a year later, it has infected about 85,892,625 people causing 1,857,399 deaths worldwide [1,3,4]. Since many countries have limited health care resources and intensive care units [3], many researchers studied early data to find possible risk factors that can lead to a more severe outcome of this virus [1,[5][6][7][8][9][10][11][12][13]. Analysis of SARS-COV-2 showed that the virus engages the angiotensin-converting enzyme 2 (ACE2) as a receptor to penetrate human cells [14].…”

Section: Introductionmentioning

confidence: 99%

Hypertension, diabetes mellitus, and cerebrovascular disease predispose to a more severe outcome of COVID-19

Ramphul¹,

Lohana²,

Ramphul³

et al. 2021

Arch Med Sci Atheroscler Dis

Self Cite

View full text Add to dashboard Cite

Introduction The world is currently facing the pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The total number of cases of coronavirus disease 2019 (COVID-19) is rising daily and no vaccine has yet been approved. While the pathophysiology behind the virus is still being studied, many possible several risk factors using small sample sizes have been found. Material and methods We conducted a pooled analysis using several databases such as Medline, Scopus, Wangfang, Web of Science, Research Square, medrxiv, and Google Scholar to identify studies reporting severe and non-severe groups of COVID-19 patients. The odds ratios as well as the 95% confidence intervals for hypertension, diabetes, and cerebrovascular disease leading to severe COVID-19 were calculated using R-software. Results Fifty-three articles were used for our analysis and they involved 30,935 confirmed cases of COVID-19 from several countries across the world. The odds ratio for severe COVID-19 in hypertensive patients, diabetics, and patients with a history of cerebrovascular disease was 2.58 (95% confidence interval (CI): 2.16–3.08, from 53 studies), 2.17 (95% CI: 1.72–2.74, from 44 studies), and 2.63 (95% CI: 1.80–3.85, from 25 studies), respectively. Conclusions Our analysis confirms that patients with hypertension, diabetes, or cerebrovascular disease are at a higher risk of a severe outcome of COVID-19. It is thus vital for physicians to identify the main risk factors for a severe outcome of this disease.

show abstract

“…Finally, we comprehensively analyzed the clinical characteristics and laboratory fi ndings, and screened out six diff erentiating factors for COVID-19: age >34 years, temperature ≤37.5 ℃, no sputum or myalgia, lymphocyte ratio ≥20% and CK-MB >9. patient with a score >18 was very likely to diagnose COVID-19. At present, viral nucleic acid detection may still be the most eff ective method to distinguish between different pathogen infections; [26,27] however, there is a certain false negative in nucleic acid detection, and there is a shortage of detection reagents in the outbreak of infectious disease. Although COVID-19 shares many similarities with H1N1, it has its own characteristics.…”

Section: Discussionmentioning

confidence: 99%

Comparison of clinical characteristics in patients with coronavirus disease and influenza A in Guangzhou, China

Liu¹,

Zhong²,

Huang³

et al. 2021

World Journal of Emergency Medicine

View full text Add to dashboard Cite

BACKGROUND: This study aims to compare the epidemiological, clinical and laboratory characteristics between patients with coronavirus disease (COVID-19) and influenza A (H1N1), and to develop a diff erentiating model and a simple scoring system. METHODS:We retrospectively analyzed the data from patients with COVID-19 and H1N1. The logistic regression model based on clinical and laboratory characteristics was constructed to distinguish COVID-19 from H1N1. Scores were assigned to each of independent discrimination factors based on their odds ratios. The performance of the prediction model and scoring system was assessed.RESULTS: A total of 236 patients were recruited, including 20 COVID-19 patients and 216 H1N1 patients. Logistic regression revealed that age >34 years, temperature ≤37.5 °C, no sputum or myalgia, lymphocyte ratio ≥20% and creatine kinase-myocardial band isoenzyme (CK-MB) >9.7 U/L were independent diff erentiating factors for COVID-19. The area under curves (AUCs) of the prediction model and scoring system in diff erentiating COVID-19 from H1N1 were 0.988 and 0.962, respectively. CONCLUSIONS:There are certain differences in clinical and laboratory features between patients with COVID-19 and H1N1. The simple scoring system may be a useful tool for the early identifi cation of COVID-19 patients from H1N1 patients.

show abstract

Headache may not be linked with severity of coronavirus disease 2019 (COVID-19)

Cited by 9 publications

References 9 publications

COVID-19 und Kopfschmerzen

COVID-19 und Kopfschmerzen

Hypertension, diabetes mellitus, and cerebrovascular disease predispose to a more severe outcome of COVID-19

Comparison of clinical characteristics in patients with coronavirus disease and influenza A in Guangzhou, China

Contact Info

Product

Resources

About