Gender Differences in the Presentation and Outcomes of Hospitalized Patients With COVID-19

Application of Artificial intelligence in COVID-19-related geriatric care: A scoping review

BACKGROUND

Older adults have been disproportionately affected by the COVID-19 pandemic. This scoping review aimed to summarize the current evidence of artificial intelligence (AI) use in the screening/monitoring, diagnosis, and/or treatment of COVID-19 among older adults.

METHOD

The review followed the Joanna Briggs Institute and Arksey and O'Malley frameworks. An information specialist performed a comprehensive search from the date of inception until May 2021, in six bibliographic databases. The selected studies considered all populations, and all AI interventions that had been used in COVID-19-related geriatric care. We focused on patient, healthcare provider, and healthcare system-related outcomes. The studies were restricted to peer-reviewed English publications. Two authors independently screened the titles and abstracts of the identified records, read the selected full texts, and extracted data from the included studies using a validated data extraction form. Disagreements were resolved by consensus, and if this was not possible, the opinion of a third reviewer was sought.

RESULTS

Six databases were searched , yielding 3,228 articles, of which 10 were included. The majority of articles used a single AI model to assess the association between patients' comorbidities and COVID-19 outcomes. Articles were mainly conducted in high-income countries, with limited representation of females in study participants, and insufficient reporting of participants' race and ethnicity.

DISCUSSION

This review highlighted how the COVID-19 pandemic has accelerated the application of AI to protect older populations, with most interventions in the pilot testing stage. Further work is required to measure effectiveness of these technologies in a larger scale, use more representative datasets for training of AI models, and expand AI applications to low-income countries.

Is There a Gender Difference in Terms of Inflammatory Biomarkers in Patients With Severe Covid-19 Pneumonia?

Background The men infected with COVID-19 have been shown to have more severe disease and a higher mortality rate. Morbidity and mortality associated with COVID-19 are mediated through intense viral inflammation and increased levels of inflammatory biomarkers. We aimed to retrospectively evaluate any gender difference in patients with severe COVID-19 pneumonia in terms of inflammatory biomarkers. Methods Our study included 132 patients. The general characteristics, radiological features and laboratory parameters of the patients were recorded. Results No difference was observed between the genders according to comorbidities, pulse steroid requirement and hypoxemia. There was no difference between the male and female participants in terms of age, white blood cell count, lymphocyte count, red cell distribution width, C-reactive protein, troponin, albumin and D-dimer. However, duration of hospitalization; percentage of polymorphonuclear leukocyte (PNL); and haemoglobin, alanine aminotransferase and ferritin values were higher in the males, and lymphocyte percentage and platelet count were higher in the women participants. Conclusion Larger studies with gender-specific reporting and robust analyses are required to clarify how gender alters the cellular and molecular pathways associated with COVID-19. This would improve the interpretation of biomarkers and the clinical management of COVID-19 patients by facilitating a personalised medical approach to risk stratification, prevention and treatment.

Impact of Physical Activity on COVID-19

INTRODUCTION

The coronavirus disease 2019 (COVID-19) pandemic, which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is seriously endangering human health worldwide. This study finds effective intervention modalities of physical activity on COVID-19 through a narrative review.

METHODS

In this study, 41 papers were selected for a narrative literature review after a comprehensive database search from 20 December 2019, to 30 August 2022.

RESULTS

41 articles meet the established criteria, and in this review, we comprehensively describe recent studies on exercise and COVID-19, including the impact and recommendations of exercise on COVID-19 prevention, patients with COVID-19, and noninfected populations.

CONCLUSIONS

The literature suggests that physical activity (PA) contributes to the prevention and treatment of COVID-19, can promote recovery of physical function, alleviate post-acute COVID-19 syndrome, and improve patients' psychological well-being. It is recommended to develop appropriate exercise prescriptions for different populations under the guidance of a physician.

Hematological Abnormalities in COVID-19 Disease: Association With Type I Interferon Pathway Activation and Disease Outcomes

Increased expression of interferon (IFN)-stimulated genes (ISGs) in peripheral blood, has been previously reported in viral infections, as well as in autoimmune disorders, in association with reduced leukocyte and platelet counts. Though cytopenias are common in patients with COVID-19 disease and predict severe outcomes, the underlying mechanisms have not been fully elucidated. In the current study, we aimed to determine the prevalence of hematological abnormalities in the setting of active COVID-19 infection and to explore whether they associate with disease outcomes and activation of type I IFN pathway. One-hundred-twenty-three consecutive SARS-CoV2 infected patients were included in the study. Clinical and laboratory parameters were recorded for all study participants. In 114 patients, total RNA was extracted from whole peripheral blood and subjected to real time PCR. The relative expression of three interferon stimulated genes (ISGs; IFIT1, MX-1, and IFI44) was determined and a type I IFN score reflecting peripheral type I IFN activity was calculated. The rates of anemia, leukopenia, and thrombocytopenia were 28.5, 14.6, and 24.4%, respectively. Among leukocytopenias, eosinopenia, and lymphopenia were the most prominent abnormalities being found in 56.9 and 43.1%, respectively. Of interest, patients with either eosinopenia and/or thrombocytopenia but no other hematological abnormalities displayed significantly increased peripheral type I IFN scores compared to their counterparts with normal/high eosinophil and platelet counts. While eosinopenia along with lymphopenia were found to be associated with increased risk for intubation and severe/critical disease, such an association was not detected between other hematological abnormalities or increased type I IFN scores. In conclusion, hematological abnormalities are commonly detected among patients with COVID-19 infection in association with severe disease outcomes and activation of the type I IFN pathway.

Lymphopenia as a Predictor for Adverse Clinical Outcomes in Hospitalized Patients with COVID-19: A Single Center Retrospective Study of 4485 Cases

Lymphopenia is commonly present in patients with COVID-19. We sought to determine if lymphopenia on admission predicts COVID-19 clinical outcomes. A retrospective chart review was performed on 4485 patients with laboratory-confirmed COVID-19, who were admitted to the hospital. Of those, 2409 (57.3%) patients presented with lymphopenia (absolute lymphocyte count < 1.1 × 10⁹/L) on admission, and had higher incidences of ICU admission (17.9% versus 9.5%, p < 0.001), invasive mechanical ventilation (14.4% versus 6.5%, p < 0.001), dialysis (3.4% versus 1.8%, p < 0.001) and in-hospital mortality (16.6% versus 6.6%, p < 0.001), with multivariable-adjusted odds ratios of 1.86 (95% confidence interval [CI], 1.55–2.25), 2.09 (95% CI, 1.69–2.59), 1.77 (95% CI, 1.19–2.68), and 2.19 (95% CI 1.76–2.72) for the corresponding outcomes, respectively, compared to those without lymphopenia. The restricted cubic spline models showed a non-linear relationship between lymphocyte count and adverse outcomes, with an increase in the risk of adverse outcomes for lower lymphocyte counts in patients with lymphopenia. The predictive powers of lymphopenia, expressed as areas under the receiver operating characteristic curves, were 0.68, 0.69, 0.78, and 0.79 for the corresponding adverse outcomes, respectively, after incorporating age, gender, race, and comorbidities. In conclusion, lymphopenia is a useful metric in prognosticating outcomes in hospitalized COVID-19 patients.

Epidemiology of SARS-CoV-2 Infection in Italy Using Real-World Data: Methodology and Cohort Description of the Second Phase of Web-Based EPICOVID19 Study

Digital technologies have been extensively employed in response to the SARS-CoV-2 pandemic worldwide. This study describes the methodology of the two-phase internet-based EPICOVID19 survey, and the characteristics of the adult volunteer respondents who lived in Italy during the first (April-May 2020) and the second wave (January-February 2021) of the epidemic. Validated scales and ad hoc questionnaires were used to collect socio-demographic, medical and behavioural characteristics, as well as information on COVID-19. Among those who provided email addresses during phase I (105,355), 41,473 participated in phase II (mean age 50.7 years ± 13.5 SD, 60.6% females). After a median follow-up of ten months, 52.8% had undergone nasopharyngeal swab (NPS) testing and 13.2% had a positive result. More than 40% had undergone serological test (ST) and 11.9% were positive. Out of the 2073 participants with at least one positive ST, 72.8% had only negative results from NPS or never performed it. These results indicate that a large fraction of individuals remained undiagnosed, possibly contributing to the spread of the virus in the community. Participatory online surveys offer a unique opportunity to collect relevant data at individual level from large samples during confinement.

Atrial fibrillation and COVID-19 in older patients: how disability contributes to shape the risk profile. An analysis of the GeroCovid registry

BACKGROUND AND AIMS

Atrial fibrillation (AF) is often complicated by disabling conditions in the elderly. COVID-19 has high mortality in older people. This study aimed at evaluating the relationship of pre-infection AF with characteristics and survival of older COVID-19 patients.

METHODS

We retrospectively analyzed inpatients aged ≥ 60 years enrolled in GeroCovid Observational, a multicenter registry endorsed by the Italian and the Norwegian Societies of Gerontology and Geriatrics. Pre-COVID-19 sociodemographic, functional, and medical data were systematically collected, as well as in-hospital mortality.

RESULTS

Between March and June 2020, 808 COVID-19 subjects were enrolled (age 79 ± 9 years; men 51.7%). The prevalence of AF was 21.8%. AF patients were older (82 ± 8 vs. 77 ± 9 years, p < 0.001), had a higher CHA₂DS₂-VASc score (4.1 ± 1.5 vs. 3.2 ± 1.5, p < 0.001) and were more likely to present almost all comorbidities. At multivariable analysis, advanced age, white blood cell count, the presence of heart and peripheral artery diseases were significantly associated with the presence of AF. In-hospital mortality was higher in AF patients (36.9 vs. 27.5%; OR = 1.55, 95% CI = 1.09-2.20; p = 0.015). A decision tree analysis showed that, in AF subjects, preserved functional status at admission was the most important factor associated with survival. In patients without AF, baseline COVID-19 severity was the most relevant variable related to clinical prognosis.

CONCLUSIONS

AF is frequent in older patients with COVID-19, in whom it associates with clinical complexity and high mortality. Pre-infection disability shapes the prognosis of this extremely vulnerable segment of hospitalized subjects.

CLINICAL TRIAL REGISTRATION

GeroCovid Observational was registered at www.clinicaltrials.gov (NCT04379440).