Clinical and paraclinical manifestations at hospital admission (triage) and their association with severity inpatients for SARS-CoV-2 pneumonia

OBJECTIVE: To explored whether initial laboratory data and symptoms predict further clinical outcome. MATERIALS AND METHODS: Retrospective cohort study. Clinical records from March to September 2020 were revised to extract clinical-demographic characteristics, laboratory data and outcomes from patients with SARS-CoV-2 pneumonia, admitted to Centro Medico Nacional 20 de Noviembre, ISSSTE, Mexico City. RESULT(S): One thousand three patients were evaluated at the Emergency-Triage, diagnosed with SARS-CoV-2 and received further in-hospital medical attention. Most of the patients were younger than 65 years-old, male and showed co-morbid conditions, such as obesity, hypertension or diabetes mellitus. After standard therapy, 389 cases (39%) required mechanical ventilation, vasopressor agents or showed fatal outcome. Higher values of C-reactive protein, D-dimer, procalcitonin and low O2 saturation at triage significantly predicted mechanical ventilation (p <0.05) and mortality (p <0.05);while presenting symptoms like fever, myalgia, cough and ageusia showed a particular association with longer hospital stage (p < 0.05). CONCLUSION(S): Laboratory values and presenting symptoms, both evaluated at hospital admission, showed different ability to predict clinical severity, mortality and longer hospitalization time in patients with COVID-19 pneumonia. These results could be useful in possible future pandemic waves of SARS-CoV-2.Copyright © 2022 Comunicaciones Cientificas Mexicanas S.A. de C.V.. All rights reserved.

Exploring Language-Interfaced Fine-Tuning for COVID-19 Patient Survival Classification

We present Language-Interfaced Fine-Tuning (LIFT) in application to COVID-19 patient survival classification. LIFT describes translating tabular Electronic Health Records (EHRs) into text inputs for transformer neural networks. We study LIFT with a dataset of 5,371 COVID-19 patients. We focus on the predictive task of survival classification utilizing demographic and medical history features. We begin by presenting information about our dataset. We preface our investigation in text-based transformers by reporting the performances of conventional machine learning models such as Logistic Regression and Random Forest classifiers. We also present the results of a few configurations of tabular input-based Deep Multilayer Perceptron (MLP) networks. 86% of the patients in our database survived in the measured time window. Thus, predictive models are heavily biased to predict that a patient will survive. We emphasize that this problem of Class Imbalance was a major challenge in developing these models. Our balanced sampling strategy from examples in the majority and minority classes is crucial to achieving even reasonable predictive performance. For this reason, we also report performance based on Precision, Recall, and F-score metrics, in addition to Accuracy. Having established baselines with tabular inputs, we then shift our focus to the prompts for translating from tabular to text inputs. We report the performance of 5 prompts. The LIFT model achieves an F-score on the held-out test set of 0.21, slightly behind the Deep MLP with Tabular Features score of 0.23. Both models outperform the Random Forest with Tabular Features at 0.15. We believe that LIFT is a very exciting direction for machine learning in healthcare applications because text-based inputs enables us to take advantage of recent advances in Transfer Learning and Retrieval-Augmented Learning. This study illustrates the effectiveness of converting tabular EHRs to text inputs and utilizing transformer neural networks for prediction. © 2022 IEEE.

Late Complications of COVID-19; An Umbrella Review on Current Systematic Reviews.

Introduction: Several clinical manifestations have been discovered for COVID-19 since the emergence of SARS-CoV-2, which can be classified into early, medium, and long-term complications. However, late complications can be present after recovery from acute COVID-19 illness. The present study aims to comprehensively review the available evidence of late complications related to COVID-19. Method: A search was conducted, using keywords, through electronic databases, which included Scopus, Web of Science, PubMed, and Embase up to August 29, 2022. Study selection was performed according to a strict inclusion and exclusion criteria. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) checklist was followed, and studies were appraised using the National Institute of Health (NIH) quality assessment and risk of bias tool. Results: In total, 50 studies were included, and nine distinct COVID-19 late complication categories were identified. A review of these studies revealed that neurologic and psychiatric (n=41), respiratory (n=27), musculoskeletal and rheumatologic (n=22), cardiovascular (n=9), and hepatic and gastrointestinal (n=6) complications were the most prevalent complications of long COVID-19. Conclusion: Almost all human body systems are affected by late complications of COVID-19 with different severity and prevalence. Fatigue and some other neuropsychiatric symptoms are the most common late complications among long COVID-19 patients. Respiratory symptoms including dyspnea (during exercise), cough, and chest tightness were the next most prevalent long-term complications of COVID-19. Since these complications are persistent and late, being aware of the signs and symptoms is essential for the healthcare providers and patients.

Validity of On-Line Supervised Fitness Tests in People with Low Back Pain.

This study aimed to investigate the concurrent validity between online evaluations (OEs) and face-to-face evaluations (IPEs) of a Senior Fitness Test and two balance tests in people with low back pain (LBP). Forty participants of 58.48 (9.87) years were included. The 30 s chair stand-up, arm curl, 2 min step, chair-sit and reach, back scratch, 8 foot up-and-go, sharpened Romberg, and one-legged stance tests were administrated using both OE and IPE methods. The results indicated no significant differences (p > 0.05) between the two methods except in the 8-foot up-and-go test (p = 0.007). Considering the ICC values and Bland-Altman plots, excellent agreement was found for the chair-sit and reach test, moderate agreement for the arm-curl and 8-foot up-and-go tests, and good agreement for the other tests. Strong correlations (p < 0.001) were observed in all variables except for the arm-curl and 8-foot up-and-go tests, where moderate correlations were found (p < 0.05). These results support the validity of OEs and IPEs in all tests, except for the arm-curl and 8-foot up-and-go tests, where lower ICC values and moderate correlations were found. However, it is important to consider the range of fluctuation of the ICC and the significant values obtained through correlations.

Patients with COVID-19 versus non-COVID-19 community-acquired pneumonia

Background: SARS-CoV-2 has emerged as a novel pathogen of community-acquired pneumonia (CAP). Aims and objectives: We aimed to compare characteristics, clinical outcomes and pneumococcal identification in patients with COVID-19 vs non-COVID-19 CAP. Method(s): EGNATIA is an ongoing, prospective study of adults >=19yo hospitalized with clinical and radiographicallyconfirmed CAP in Greece. The primary objective is to estimate the proportion of CAP due to pneumococcal serotypes included in 13-valent pneumococcal conjugate vaccine (PCV13). Pneumococcus was identified using serotype-specific urinary antigen detection assays (UAD 1/2), BinaxNow and conventional cultures. Testing for SARS-CoV-2 was performed as per national guidelines. Result(s): We compared 202 patients with COVID-19 pneumonia during Apr2020-Mar2021 vs 1033 patients with nonCOVID-19 CAP during Nov2017-Oct2020. Patients with COVID-19 were younger (median age 68.8 vs 75.8 years) and had fewer comorbidities (67.8% with >=1 underlying condition vs 79.2%) than non-COVID-19 patients. Patients with COVID-19 less frequently reported past pneumonia episodes (0.5% vs 7.7%) but were more frequently nursing home residents (13.9% vs 6%). Patients with COVID-19 had less severe pneumonia presentation (CURB 65 3-5 6.4% vs 30.5%;PSI IV-V 41.1% vs 55.2%) but required mechanical ventilation more frequently (7.4% vs 1.9%) and had a longer hospital stay (mean 17.4 vs 9.6 days). In-hospital mortality was similar between the 2 groups (7.9% in COVID-19 vs 8.9% in non-COVID-19). Pneumococcus was identified less frequently in patients with COVID-19 vs non-COVID-19 CAP (4% vs 11.1%). Conclusion(s): Significant differences were identified in patients with COVID-19 vs non-COVID-19 CAP.

COVID-19 Infection an Individual Risk Factor of Stroke

Background: COVID-19 infection is associated with multi-organ involvement. Neurological manifestations are seen in COVID-19 infection due to endothelial damage and prothrombotic state. Thus the importance of early detection or identifying the patients with high risk for developing cerebrovascular manifestations that could end up in disability and a worse overall prognosis has lead to the study of stroke characteristics in association with COVID-19. Objective(s): To study the acute cerebrovascular accident (CVA) manifestations in patients infected with coronavirus disease 19 (COVID-19). Methods and Materials: Our study is a retrospective from July 2020 to September 2020 for a period of 3 months done in confirmed Covid-19 infection (SARS-CoV-2 RT-PCR-positive) who are admitted in our tertiary care hospital. Diagnosing of stroke was confirmed either by Computed Tomography(CT) or Magnetic Resonance Imaging (MRI) of the brain. The inclusion criteria were as follows: RT PCR confirmed Covid 19 cases, who developed acute cerebrovascular accident in the patient. Exclusion Criteria Include: Known case of stroke, hyperlipidemia, diabetes mellitus, hypertensive cases and morbid obesity patients. Result(s): Out of 8489 covid-19 confirmed cases in our hospital nearly 10 cases developed neurological manifestations who had no other co morbidities or risk factors. Out of 10 patients, 7 patients were male and 3 patients were female. Out of 10 cases 20% of cases were among the age group of 25-40 years of age, another 70% belongs to 40-50 years of age & 10% of cases belongs to age group 50-60years. Thus majority of our cases were around age group 40-50 years. Majority of our patients (60%) developed cerebrovascular accident on day 3-6 of onset of symptoms. All our patients had high sensitivity C-reactive protein above 10mg/ml and 60% had their serum ferritin value >550ng/ml. Majority of our patients had their D-dimer value >10000ng/ml. Most of our patients(50%) belongs to severe category of National Institute of Health Stroke Scale (NIHSS).Majority of our patients who developed stroke had improved (70%), nearly 10% had no improvement and 20% died. All our patients developed ischemic stroke. Conclusion(s): From our study we seen that middle aged male between 40-50 yrs. who are infected with covid-19 infection with no comorbiditites and with higher inflammatory markers had developed ischemic stroke when compared to the usual age >60 years with comorbidities in non-covid patients. Thus we conclude that covid 19 infection is to be considered as an individual risk factor for developing stroke. D-dimer level more than 3 fold increase and high C-reactive protein should alarm the physician to start on early treatment of steroids and anticoagulants.. Thus early detection of inflammatory markers and early start of anticoagulants and steroids resulted in good outcome of the patients. Repeat inflammatory markers should be done at the end of the treatment and if it is still elevated, patient should be discharged with oral steroids, antiplatelets and statins even with no comorbidities and symptoms. Anyhow studies with bigger sample size is needed to validate these results.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.

New Insights into the Identification of Metabolites and Cytokines Predictive of Outcome for Patients with Severe SARS-CoV-2 Infection Showed Similarity with Cancer.

SARS-CoV-2 infection is characterized by several clinical manifestations, ranging from the absence of symptoms to severe forms that necessitate intensive care treatment. It is known that the patients with the highest rate of mortality develop increased levels of proinflammatory cytokines, called the "cytokine storm", which is similar to inflammatory processes that occur in cancer. Additionally, SARS-CoV-2 infection induces modifications in host metabolism leading to metabolic reprogramming, which is closely linked to metabolic changes in cancer. A better understanding of the correlation between perturbed metabolism and inflammatory responses is necessary. We evaluated untargeted plasma metabolomics and cytokine profiling via 1H-NMR (proton nuclear magnetic resonance) and multiplex Luminex assay, respectively, in a training set of a limited number of patients with severe SARS-CoV-2 infection classified on the basis of their outcome. Univariate analysis and Kaplan-Meier curves related to hospitalization time showed that lower levels of several metabolites and cytokines/growth factors, correlated with a good outcome in these patients and these data were confirmed in a validation set of patients with similar characteristics. However, after the multivariate analysis, only the growth factor HGF, lactate and phenylalanine retained a significant prediction of survival. Finally, the combined analysis of lactate and phenylalanine levels correctly predicted the outcome of 83.3% of patients in both the training and the validation set. We highlighted that the cytokines and metabolites involved in COVID-19 patients' poor outcomes are similar to those responsible for cancer development and progression, suggesting the possibility of targeting them by repurposing anticancer drugs as a therapeutic strategy against severe SARS-CoV-2 infection.

Differences in Perception of Healthcare Management between Patients and Professionals.

Patient perception and the organizational and safety culture of health professionals are an indirect indicator of the quality of care. Both patient and health professional perceptions were evaluated, and their degree of coincidence was measured in the context of a mutual insurance company (MC Mutual). This study was based on the secondary analysis of routine data available in databases of patients' perceptions and professionals' evaluations of the quality of care provided by MC Mutual during the period 2017-2019, prior to the COVID-19 pandemic. Eight dimensions were considered: the results of care, coordination of professionals, trust-based care, clinical and administrative information, facilities and technical means, confidence in diagnosis, and confidence in treatment. The patients and professionals agreed on the dimension of confidence in treatment (good), and the dimensions of coordination and confidence in diagnosis (poor). They diverged on confidence in treatment, which was rated worse by patients than by professionals, and on results, information and infrastructure, which were rated worse by professionals only. This implies that care managers have to reinforce the training and supervision activities of the positive coincident aspects (therapy) for their maintenance, as well as the negative coincident ones (coordination and diagnostic) for the improvement of both perceptions. Reviewing patient and professional surveys is very useful for the supervision of health quality in the context of an occupational mutual insurance company.

Clinical Outcomes After Use of Inhaled Corticosteroids or Oral Steroids in a COVID-19 Telemedicine Clinic Cohort: Retrospective Chart Review.

BACKGROUND: COVID-19 concerns remain among health care providers, as there are few outpatient treatment options. In the early days of the pandemic, treatment options for nonhospitalized patients were limited, and symptomatic treatment and home-grown guidelines that used recommendations from the Global Initiative for Asthma Management and Treatment were used. OBJECTIVE: The possibility that inhaled corticosteroids (ICS) might reduce the risk of respiratory symptoms and promote recovery was the impetus for this review, as it has already been shown that in the nonhospitalized patient population, oral corticosteroids (OCS) in the acute phase could have an adverse effect on recovery. We investigated if (1) patients treated with ICS were less likely to require referral to a post-COVID-19 clinic or pulmonary specialist than patients without ICS treatment or with OCS therapy, and (2) if OCS use was associated with worse health outcomes. METHODS: In a retrospective chart review, we identified all patients with acute illness due to COVID-19 that were followed and managed by a telemedicine clinic team between June and December 2020. The data were electronically pulled from electronic medical records through April 2021 and reviewed to determine which patients eventually required referral to a post-COVID-19 clinic or pulmonary specialist due to persistent respiratory symptoms of COVID-19. The data were then analyzed to compare outcomes between patients prescribed OCS and those prescribed ICS. We specifically looked at patients treated acutely with ICS or OCS that then required referral to a pulmonary specialist or post-COVID-19 clinic. We excluded any patients with a history of chronic OCS or ICS use for any reason. RESULTS: Prescribing ICS during the acute phase did not reduce the possibility of developing persistent symptoms. There was no difference in the referral rate to a pulmonary specialist or post-COVID-19 clinic between patients treated with OCS versus ICS. However, our data may not be generalizable to other populations, as it represents a patient population enrolled in a telemedicine program at a single center. CONCLUSIONS: We found that ICS, as compared to OCS, did not reduce the risk of developing persistent respiratory symptoms. This finding adds to the body of knowledge that ICS and OCS medications remain potent treatments in patients with acute and postacute COVID-19 seen in an outpatient setting.

Acute Mesenteric Ischemia in COVID-19 While Receiving Prophylactic Enoxaparin.

COVID-19 infection is known to cause thromboembolic complications. This is why patients hospitalized with COVID-19 are put on prophylactic anticoagulation. We present the case of a Caucasian woman, aged 71 years, with risk factors of class 1 obesity, hyperlipidemia, and hypertension, initially admitted for COVID-19 pneumonia, and later developed acute mesenteric ischemia followed by pulmonary embolism. These incidents occurred while the patient was receiving high-dose prophylactic enoxaparin (40 mg twice daily). COVID-19 associated acute mesenteric ischemia is a complication with high mortality. Therefore, high suspicion, early recognition, and surgical management is necessary. Apart from that, this case emphasizes the question of whether there is a need for proactively administering therapeutic anticoagulation for high thrombotic risk COVID-19 patients to prevent deadly complications.

Mental Health Outcomes for Youths With Public Versus Private Health Insurance Attending a Telehealth Intensive Outpatient Program: Quality Improvement Analysis.

BACKGROUND: COVID-19 exacerbated a growing mental health crisis among youths and young adults, worsened by a lack of existing in-person options for high-acuity care. The emergence and growth of remote intensive outpatient programs (IOPs) is a solution to overcome geographic limitations to care. However, it remains unclear whether remote IOPs engender equivalent clinical outcomes among youths with public insurance (eg, Medicaid) versus private insurance (eg, commercial) given the disparities found in previous research on place-based treatment in both clinical and engagement outcomes. OBJECTIVE: This analysis sought to establish, as part of ongoing quality improvement efforts, whether engagement and clinical outcomes among adolescents and young adults attending remote IOP treatment differed between youths with public and those with private insurance. The identification of disparities by payer type was used to inform programmatic decisions within the remote IOP system for which this quality improvement analysis was conducted. METHODS: Pearson chi-square analyses and independent 2-tailed t tests were used to establish that the 2 groups defined by insurance type were equivalent on clinical outcomes (depression, suicidal ideation, and nonsuicidal self-injury [NSSI]) at intake and compare changes in clinical outcomes. McNemar chi-square analyses and repeated-measure 2-tailed t tests were used to assess changes in clinical outcomes between intake and discharge in the sample overall. In total, 495 clients who attended the remote IOP for youths and young adults in 14 states participated in ≥7 treatment sessions, and completed intake and discharge surveys between July 2021 and April 2022 were included in the analysis. RESULTS: Overall, the youths and young adults in the remote IOP attended a median of 91% of their scheduled group sessions (mean 85.9%, SD 16.48%) and reported significantly fewer depressive symptoms at discharge (t447=12.51; P<.001). McNemar chi-square tests of change indicated significant reductions from intake to discharge in suicidal ideation (N=470, χ21=104.4; P<.001), with nearly three-quarters of youths who reported active suicidal ideation at intake (200/468, 42.7%) no longer reporting it at discharge (142/200, 71%), and in NSSI (N=430, χ21=40.7; P<.001), with more than half of youths who reported NSSI at intake (205/428, 47.9%) reporting lower self-harm at discharge (119/205, 58%). No significant differences emerged by insurance type in attendance (median public 89%, median private 92%; P=.10), length of stay (t416=-0.35; P=.73), or reductions in clinical outcomes (depressive symptom severity: t444=-0.87 and P=.38; active suicidal ideation: N=200, χ21=0.6 and P=.49; NSSI frequency: t426=-0.98 and P=.33). CONCLUSIONS: Our findings suggest that youths and young adults who participated in remote IOP had significant reductions in depression, suicidal ideation, and NSSI. Given access to the same remote high-acuity care, youths and young adults on both public and private insurance engaged in programming at comparable rates and achieved similar improvements in clinical outcomes.

Sex differences in hospitalized COVID-19 patients

The novel coronavirus disease (COVID-19) affected females less than males, as demonstrated by sex-disaggregated data present in the literature. During the first wave, females hospitalized at San Raffaele Hospital, Milan, Italy were few in number, presented symptoms later and had less critical clinical conditions than males. The present study aimed to evaluate the epidemiological status of the female population during the second wave, which occurred in Autumn 2020 in Italy. This prospective cohort study included all patients, with a positive real-time reverse-transcriptase polymerase chain reaction for COVID-19, who attended the emergency department or were hospitalized in wards and/or intensive care unit (ICU) from 29th September 2020 to 29th November 2020. A total of 1216 COVID-19 patients were included, of whom 459 (37.8%) were females. The percentage of females admitted was 41.3% in the first period and 36.3% in the second period, without significant increase over time (p = 0.3). Females accounted for 25% of all COVID-19 intensive care unit admissions. There was significantly sex-based difference in the overall hospital mortality (4.1% for females and 11.3% for males, p < 0.0001). At San Raffaele Hospital, Milan, Italy during the second wave, female patients were few and affected by a less severe form of COVID-19. An increase over time of females hospitalized patients was not reported, unlike what was previously demonstrated during the first wave. Copyright © 2022 The Author(s). Published by MRE Press.

Women's Satisfaction With Telehealth Services During The COVID-19 Pandemic: Cross-sectional Survey Study.

BACKGROUND: Since March 2020, the need to reduce patients' exposure to COVID-19 has resulted in a large-scale pivot to telehealth service delivery. Although studies report that pregnant women have been generally satisfied with their prenatal telehealth experiences during the pandemic, less is known about telehealth satisfaction among postpartum women. OBJECTIVE: This study examined telehealth satisfaction among both pregnant and recently pregnant women during the COVID-19 pandemic, to determine whether demographic factors (ie, race, age, marital status, education level, household income, and employment status) are associated with telehealth satisfaction in this population. METHODS: A web-based cross-sectional survey designed to capture data on health-related behaviors and health care experiences of pregnant and recently pregnant women in the United States was disseminated in Spring 2022. Eligible participants were at least 18 years old, identified as a woman, and were currently pregnant or had been pregnant in the last 3 years. RESULTS: In the final analytic sample of N=403, the mean telehealth satisfaction score was 3.97 (SD 0.66; score range 1-5). In adjusted linear regression models, being aged 35-44 years (vs 18-24 years), having an annual income of ≥ US $100,000 (vs < US $50,000), and being recently (vs currently) pregnant were associated with greater telehealth satisfaction (P≤.049). CONCLUSIONS: Although perinatal women are generally satisfied with telehealth, disparities exist. Specifically, being aged 18-24 years, having an annual income of < US $50,000, and being currently pregnant were associated with lower telehealth satisfaction. It is critical that public health policies or programs consider these factors, especially if the expanded use of telehealth is to persist beyond the pandemic.

Understanding Patients' Experiences and Perspectives of Tele-Prehabilitation: A Qualitative Study to Inform Service Design and Delivery.

BACKGROUND: Tele-prehabilitation is a behaviour change intervention that facilities the modification of unhealthy lifestyle behaviours. Understanding patients' experiences of tele-prehabilitation provides important insights into service improvement. In this study, we aimed to describe our patients' perceptions of tele-prehabilitation and capture their capabilities, opportunities, and motivations to participate. This was a qualitative study to inform our service design and delivery. METHODS: Following purposive sampling, 22 qualitative semistructured interviews were conducted with patients in the community that had completed tele-prehabilitation. Interviews were recorded and transcribed. Deductive content analysis was used to map the identified themes against theoretical determinants of health behaviour change. RESULTS: We conducted 22 interviews. Our patients described their overall experience of tele-prehabilitation as positive and provided important insights that impacted their capabilities, opportunities, and motivations to engage with our service. Our team provided them the capabilities and self-efficacy to engage by personalising multimodal plans and setting goals. The remote delivery of our service was a recurring positive theme in providing flexibility and widening accessibility to participation. A missed opportunity was the potential for peer support through shared experiences with other patients. Patients showed greater motivation to participate for immediate perioperative benefit compared to long-term health gains. CONCLUSION: Patients' experiences and perspectives of tele-prehabilitation can be enhanced by incorporating the findings from this qualitative study into service redesign and delivery. We recommend: (1) applying holistic principles in care and goal-setting, (2) delivering a combination of home-based and in-centre programmes, and (3) engaging with patients at the start of their cancer journey when they are most motivated. In turn, this can result in more effective uptake, improve adherence to interventions, and greater satisfaction.

The Association Between Telemedicine Use and Changes in Health Care Usage and Outcomes in Patients With Congestive Heart Failure: Retrospective Cohort Study.

BACKGROUND: Telemedicine use has become widespread owing to the COVID-19 pandemic, but its impact on patient outcomes remains unclear. OBJECTIVE: We sought to investigate the effect of telemedicine use on changes in health care usage and clinical outcomes in patients diagnosed with congestive heart failure (CHF). METHODS: We conducted a population-based retrospective cohort study using administrative data in Ontario, Canada. Patients were included if they had at least one ambulatory visit between March 14 and September 30, 2020, and a heart failure diagnosis any time prior to March 14, 2020. Telemedicine users were propensity score-matched with unexposed users based on several baseline characteristics. Monthly use of various health care services was compared between the 2 groups during 12 months before to 3 months after their index in-person or telemedicine ambulatory visit after March 14, 2020, using generalized estimating equations. RESULTS: A total of 11,131 pairs of telemedicine and unexposed patients were identified after matching (49% male; mean age 78.9, SD 12.0 years). All patients showed significant reductions in health service usage from pre- to postindex visit. There was a greater decline across time in the unexposed group than in the telemedicine group for CHF admissions (ratio of slopes for high- vs low-frequency users 1.02, 95% CI 1.02-1.03), cardiovascular admissions (1.03, 95% CI 1.02-1.04), any-cause admissions (1.03, 95% CI 1.02-1.04), any-cause ED visits (1.03, 95% CI 1.03-1.04), visits with any cardiologist (1.01, 95% CI 1.01-1.02), laboratory tests (1.02, 95% CI 1.02-1.03), diagnostic tests (1.04, 95% CI 1.03-1.05), and new prescriptions (1.02, 95% CI 1.01-1.03). However, the decline in primary care visit rates was steeper among telemedicine patients than among unexposed patients (ratio of slopes 0.99, 95% CI 0.99-1.00). CONCLUSIONS: Overall health care usage over time appeared higher among telemedicine users than among low-frequency users or nonusers, suggesting that telemedicine was used by patients with the greatest need or that it allowed patients to have better access or continuity of care among those who received it.

Association between phase angle and adverse clinical outcomes in hospitalized patients with COVID-19: A systematic review.

Phase angle, obtained by bioelectrical impedance, is an indicator of cellular integrity and has been proposed as a prognostic parameter in patients who are critically ill. This systematic review aimed to evaluate the association between phase angle and adverse clinical outcomes in hospitalized patients with coronavirus disease-2019 (COVID-19). An extensive literature search was performed in the MEDLINE/PubMed, Embase, and Web of Science databases, with interest in observational studies evaluating the association between phase angle and adverse clinical outcomes in individuals aged ≥18 years hospitalized with COVID-19. Studies were independently selected by two reviewers, according to eligibility criteria. Subsequently, data were extracted and presented in a qualitative synthesis. The evaluation of the quality of the studies was performed according to the Newcastle-Ottawa scale. The full methodology was published in PROSPERO (ID CRD42022306177). A total of 392 articles were identified, resulting in seven selected studies, of which six were prospective cohorts and one was retrospective. In the quality assessment, six studies obtained scores equal to or greater than seven, indicating a low risk of bias. A total of 750 participants composed the samples of the selected studies. Five studies reported an independent association between phase angle and adverse clinical outcomes during hospitalization for COVID-19, with emphasis on prolonged hospitalization and mechanical ventilation and higher mortality in patients with a lower phase angle. Thus, phase angle measurement can be useful in the early identification of risks in patients hospitalized with COVID-19, for the purpose of adequacy of clinical management.

Asthma Outcome Measures Before and After the COVID-19 Outbreak Among the Pediatric Population in a Community Hospital.

Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is a global health threat that has affected patient care enormously. Moderate to severe asthma was listed as a risk factor for severe SARS-CoV-2 disease by the Centers for Disease Control. Little is known about the impact of the pandemic on asthma control in children, particularly African American children. Objective The present study sought to determine how changes during the coronavirus disease 2019 (COVID-19) pandemic affected asthma metrics in a majority African American pediatric population at a pediatric pulmonology clinic in a community hospital in New York. Methods This is a retrospective, pre-post, comparative cross-sectional study that included children three to 18 years of age with a known diagnosis of asthma followed in a pulmonary clinic. Data were gathered from electronic medical records. Subjects were selected if they presented to a pulmonology clinic within a certain time window both before and after the outbreak of the COVID-19 pandemic. Outcome variables included asthma medication statistics and healthcare utilization statistics. Results Inclusion criteria were met by 104 pediatric patients. The majority were African American. Emergency department visits, primary physician visits, and hospitalizations significantly decreased in the post-COVID study group compared to the pre-COVID control group. Conclusion Among a majority African American pediatric population, there were significant improvements in asthma outcomes after COVID-19 societal changes when compared to before COVID-19 based on outcome variables.

Clinical outcomes of coronavirus disease 2019 and seasonal influenza in patients with hematological disorders: a retrospective study.

Objective: The differences in clinical outcomes in hospitalized patients with hematological disorders (HD) who developed either coronavirus disease 2019 (COVID-19) or seasonal influenza (SI) are not fully understood. To examine these differences, we retrospectively analyzed the baseline characteristics and clinical outcomes of hospitalized patients with HD admitted from 2016 to 2021. Patients and Methods: Patients with HD who developed COVID-19 (in the past 1 year) (n=21) or SI (in the past 5 years) (n=23) in the Department of Hematology/Oncology, Asahikawa Kosei General Hospital were evaluated. Results: The median ages of the patients with HD with either COVID-19 or SI were 80 and 68 years, respectively (P=0.03). The groups showed no significant differences in sex ratio, body mass index, or Eastern Cooperative Oncology Group performance status. In the COVID-19 and SI groups, the most common primary diseases were diffuse large B-cell lymphoma (43%) and multiple myeloma (39%), respectively. The median numbers of days of oxygen administration (8 vs. 0 days), quarantine (25 vs. 6 days), and hospitalization (72 vs. 21 days) were significantly higher in HD patients with COVID-19 than those in HD patients with SI (all P<0.001). The overall 90-day survival of patients with HD and COVID-19 was significantly shorter than that of patients with HD and SI (P=0.019). Moreover, patients with HD and COVID-19 had a higher risk of in-hospital mortality (43% vs. 9%; odds ratio, 7.50; 95% confidence interval, 1.26-82.4; P=0.01) compared to patients with HD and SI. Conclusion: Patients with HD and COVID-19 required longer periods of in-hospital medical and showed poorer survival than those with SI. During the COVID-19 pandemic, hematologists should closely monitor the condition of patients with COVID-19 to closely monitor their condition to prevent deaths.

Preoperative virtual video visits only: a convenient option that should be offered to caregivers beyond the pandemic.

Objective: During the COVID-19 pandemic, our group implemented preoperative video visits (VVs) to limit physical contact. The aim of this study was to determine caregivers' and providers' perceptions of this practice and to determine feasibility for continuation. Methods: All patients who had only a preoperative VV prior to an elective surgery were identified from March-October 2020. Caregivers, surgeons, and clinic staff were surveyed about their experiences. Results: Thirty-four preoperative VVs were followed by an elective surgery without a preceding in-person visit. Of the 31 caregiver surveys completed, the majority strongly agreed that the VV was more convenient (87%, n=27). Eighty-one percent (n=25) strongly agreed or agreed that the VV saved them money. Ninety-four percent (n=29) strongly agreed or agreed that they would choose the VV option again. Caregivers saved an average travel distance of 60.3 miles one way (range 6.1-480). Of the 13/17 providers who responded, 77% (n=10) expressed that the practice should continue. Conclusions: Virtual health became a necessity during the pandemic, and caregivers were overwhelmingly satisfied. Continuing VVs as an option beyond the pandemic may be a reasonable and effective way to help eliminate some of the hurdles that impede healthcare-seeking behavior and should be offered.