| Literature DB >> 35510532 |
Rahul Chaturvedi1, Briana Lui2, Jamie A Aaronson1, Robert S White1, Jon D Samuels1.
Abstract
Aim: To provide a comprehensive understanding of the varying effects of SARS-CoV-2 infection based on sex.Entities:
Keywords: COVID-19; SARS-CoV-2; gender; hospitalization; mortality; sex
Mesh:
Year: 2022 PMID: 35510532 PMCID: PMC9149780 DOI: 10.2217/cer-2022-0027
Source DB: PubMed Journal: J Comp Eff Res ISSN: 2042-6305 Impact factor: 2.040
A summary of available studies on sex and COVID-19 outcomes.
| Source (year) | Study design | Country | Sample size (n =) | Defined comparator | COVID-19 outcome | Findings | Limitations | Ref. |
|---|---|---|---|---|---|---|---|---|
| Baden | Randomized, observer blinded, placebo-controlled trial | USA | 30,420 | Males vs females | Vaccine efficacy | Vaccine efficacy was similar in males vs females | Short duration of efficacy | [ |
| Bignucolo | Meta-analysis | Global | >30,000 (multiple studies) | Males vs females | Vaccine efficacy | Higher odds of vaccine being efficacious in males compared with females | End point timelines differed between studies | [ |
| Fortunato | Retrospective epidemiological | Italy | 55,131 | Males vs females | Hospitalization rates, viral clearance, mortality | Males had increased hospitalization rates and mortality | Lifestyle, behavioral and social differences not assessed | [ |
| Gomez | Retrospective cohort | USA | 8108 | Males vs females | Hospitalization, ICU admission, endotracheal intubation, mortality | Males had higher rates of hospitalization and ICU transfers | Single health system, early on data from pandemic | [ |
| Gupta | Multicenter retrospective cohort | USA | 2215 | Males vs females | 28-day in-hospital mortality | Males had increased odds of 28-day mortality | Baseline risks may have differed between patients of different hospitals | [ |
| Hur | Retrospective observational | USA | 486 | Males vs females | Predictors of intubation in COVID-19 patients | Male sex, age and several other factors predictive of intubation | Intubation criteria differ among providers | [ |
| Klang | Retrospective observational | USA | 6760 | Males vs females | Age, comorbidities (cardiovascular, renal), mortality in those who passed from COVID-19 | Males had increased mortality but similar cardiovascular disease profiles; female age was higher than males for those who passed | Urban population, observational study | [ |
| Moiseev | Retrospective cohort | Russia | 1522 | Males vs females | Requirement for mechanical ventilation and mortality rates in the ICU | Under 50 years of age, males had increased ventilation requirements but similar mortality; over 50 years, males had greater mortality rates | Specific subgroup studied (those in ICU on ventilatory support – fairly high overall mortality rate compared with general population) | [ |
| Moula | Meta-analysis | Global | 8497 | Males vs females | Mortality risk | Males had 16% higher mortality risk | Increased heterogeneity in primary end points between papers | [ |
| Nepogodiev | Retrospective case control | Global | 1128 | Males vs females | 30-day postoperative mortality in patients with COVID | Males had increased odds of postoperative 30-day mortality | Some patients included based on clinical diagnosis; all types of surgeries included | [ |
| Nguyen | Multicenter retrospective observational | USA | 308, 010 | Males vs females | In-hospital mortality, length of hospital stay, intubation rates | Males had high odds of hospital mortality, length of hospital stay and intubation rates | Vizient database may have inaccurate coding | [ |
| Peckham | Meta-analysis | Global | 3,111,714 | Males vs females | ICU admission and death | Males have three-times odds of requiring ICU admission and increased odds of death | Data on comorbidities such as age, ethnicity and comorbidities not present | [ |
| Polack | Placebo-controlled, observer-blinded efficacy trial | Global | 43,548 | Males vs females | Vaccine efficacy | Vaccine efficacy was similar between males and females | Short follow-up times | [ |
| Quaresima | Retrospective | Italy | 1000 | Males vs females | Hospitalization age, latency between symptom onset and hospitalization | No differences found between age of hospitalization and latency of hospitalization | Reference center hospital for severe illnesses include hematologic, renal and neurological issues | [ |
| Raparelli | Retrospective observational | Italy | 3517 | Males vs females | Comorbidities (ischemic heart disease, chronic kidney disease), dementia, autoimmune diseases) in those who passed from COVID-19 | Increased odds for males to experience ischemic heart disease compared with females for those who passed from COVID-19 | Only deceased individuals included with unclear baseline comorbidity severity | [ |
| Toth-Manikowski | Retrospective cohort | USA | 4407 | Males vs females | 28-day in-hospital mortality, acute kidney injury and respiratory failure within 14 days of ICU admission | Males had increased risk of mortality, severe acute kidney injury and respiratory failure | Immune system response/sex hormone data not ascertained; USA only; acute kidney injury and respiratory failure information only acquired within first 14 days | [ |
| Vassilaki | Prospective cohort | Greece | 1643 | Males vs females | IgG antibody responses to Pfizer vaccine | Females had 1.2-fold higher antibody response | Comorbidities not controlled for; duration of antibody responses followed for short time period | [ |
| Xu | Retrospective cohort | China | 659 | Males vs females | Characteristics of ARDS patients with COVID-19, artificial intelligence model for predicting ARDS | Males had increased risk for ARDS progression | Limited ARDS data, no CT scan imaging for corroboration of diagnosis | [ |
ARDS: Acute respiratory distress syndrome; ICU: Intensive care unit.
A summary of studies exploring mechanisms for differing COVID-19 outcomes by sex.
| Source (year) | Study design | Country | Sample size (n =) | Defined comparator | COVID-19 outcome | Findings | Limitations | Ref. |
|---|---|---|---|---|---|---|---|---|
| Dhindsa | Retrospective cohort | USA | 152 | Hormone levels | Cytokine concentration and disease severity | Lower testosterone associated with increased severity of disease | Did not measure free testosterone | [ |
| Leung | Cross-sectional | Global | 16 datasets (analyzed separately) | COPD vs control, males vs females | ACE2 expression in those with COPD vs controls, also controlling for sex | Increased ACE2 expression in males with COPD | Bronchodilators/other medications could be impacting ACE2 expression | [ |
| Li | Retrospective cohort | Global | 31 | Males vs females | Tissue expression ACE2 | Testis, small intestine, kidneys, heart, thyroid and adipose tissue had highest ACE2 expression | Small sample size, no protein expression data | [ |
| Montopoli | Retrospective cohort | Italy | 9280 | Male prostate cancer with androgen deprivation therapy vs without | Infectivity rates | Those with androgen deprivation therapy had decreased infectivity rates | Cancer population specifically | [ |
| Solomou | Cross-sectional | Cyprus | 1642 | Males vs females | Depression, anxiety and precautionary compliance related to COVID-19 | Males demonstrated decreased COVID-19 precautionary compliance | Response bias (survey-based), no data for those >60 | [ |
| Takahashi | Experimental | USA | 98 | Males vs females | T-cell differentiation, disease severity | Males had decreased T-cell differentiation compared with females | Possible confounding variables when comparing healthy controls with those with disease not accounted for when matching | [ |
| Yan | Retrospective cohort | China | 1004 | Males vs females | In-hospital mortality, neutrophil to lymphocyte ratio | Males had an increased neutrophil to lymphocyte ratio, which corresponded to increased mortality | Comorbidities and medications affect all-cause mortality | [ |
| Zeng | Cross-sectional | China | 331 | Males vs females | IgG response based on disease severity | Females mounted an increased IgG response in severe disease but a similar response in mild to moderate cases | Small sample size, single hospital | [ |
COPD: Chronic obstructive pulmonary disease.