A national survey of early treatment seeking behavior among those with incident SARS-CoV-2 infection

Background: Despite effective means to treat SARS-CoV-2 infection, the early treatment seeking behavior of those newly diagnosed with infection is not clear. Methods: We surveyed users of a national SARS-CoV-2 testing company to assess the frequency and correlates of early treatment seeking behavior for a positive test result. We recruited adults (18 years or older) who had tested positive for SARS-CoV-2 by PCR at a large clinical laboratory. To be eligible, individuals had to have a positive test result within 7 days of enrollment. Surveys were anonymous and voluntary. We collected data on demographic characteristics, general health care access and utilization, awareness of treatment for COVID-19, treatment seeking behavior, and treatments received. Descriptive statistics and odds ratios (OR) with 95% confidence intervals (95% CI) were calculated on StataSE. Results: Participants were surveyed from 3-7 January 2022: among the 15,991 who viewed a survey request, 7,647 individuals were eligible and provided responses. The median age of a respondent was 42 years (interquartile range: 32 to 54), 68.9% of respondents were women, and respondents represented 33 different states, districts, and territories. Among respondents, 23.1% reported they had sought treatment or medical advice for their current COVID-19 diagnosis. Of those who were very aware of treatment for COVID-19, 31.0% sought treatment versus 16.7% who were unaware (p-value< 0.001). The odds of treatment seeking behavior were higher for those that were contacted by a medical professional after their diagnosis (OR: 4.57 [95% CI: 3.89 to 5.37]), those with a primary doctor (OR: 2.94 [95% CI: 2.52 to 3.43]), those who self-measured their oxygen saturation (OR: 2.53 [95% CI: 2.25 to 2.84]), and those over 65 years of age (OR: 2.36 [95% CI: 2.02 to 2.76]). There was no difference in those seeking treatment based on heritage, ethnicity, prior COVID-19 diagnosis, state political affiliation, or vaccination status. The odds of seeking treatment were lower among men (OR: 0.88 [95% CI: 0.78 to 0.99]) and those without insurance (OR: 0.62 [95% CI: 0.52 to 0.72]). The most common treatment locations were clinics and most common treatments were Vitamin C, Vitamin D, Zinc, Tylenol, and NSAIDs. Conclusion: More public outreach is needed to raise awareness of the benefits of treatment for COVID-19. We found that people who were more aware about treatment for COVID-19 were more likely to seek medical advice or therapy. Efforts to increase awareness might increase early treatment for SARS-CoV-2 infection. Increased outreach with treatment facilitation from medical professionals and/or public health staff to those with newly detected SARS-CoV-2 infections, particularly among those at higher-risk of complications, might also be helpful.

Admission of a Terminally Ill Lung Cancer Patient With the Accidental Diagnosis of SARS-CoV-2 to a Palliative Care Unit Resulting in a SARS-CoV-2 Outbreak

The COVID-19 pandemic poses challenges for palliative care. Terminal patients cannot wear masks and may demonstrate unspecific symptoms reminiscent of those caused by COVID-19. This report is about a terminally ill patient with lung cancer who displayed fever, cough, and fatigue. During hospital admission screening, the patient tested negative for SARS-CoV-2. When admitting his wife to stay with him, she also had to test for SARS-CoV-2 and displayed a positive test result. Until the positive results were reported, six staff members were infected with SARS-CoV-2, even though they were routinely wearing respirators. This resulted in the palliative care unit having to be closed. Hospitals need strict and adequate testing and re-testing strategies even for intra-hospital transfers. Workers must strictly adhere to recommended respirator practices. Ventilation of patient rooms is essential due to the possible enrichment of particle aerosols containing viruses, as negative pressure rooms are not recommended in all countries.

Basic Predictive Risk Factors for Cytokine Storms in COVID-19 Patients

ObjectiveA critical role in coronavirus disease 2019 (COVID-19) pathogenesis is played by immune dysregulation that leads to a generalized uncontrolled multisystem inflammatory response, caused by overproduction of proinflammatory cytokines, known as “a cytokine storm” (CS), strongly associated with a severe course of disease. The aim of this study is to identify prognostic biomarkers for CS development in COVID-19 patients and integrate them into a prognostic score for CS-associated risk applicable to routine clinical practice.Materials and MethodsThe authors performed a review of 458 medical records from COVID-19 patients (241 men and 217 women aged 60.0 ± 10.0) who received treatment in the St. Petersburg State Budgetary Institution of Healthcare City Hospital 40 (City Hospital 40, St. Petersburg), from Apr. 18, 2020 to Nov. 21, 2020. The patients were split in two groups: one group included 100 patients with moderate disease symptoms; the other group included 358 patients with progressive moderately severe, severe, and extremely severe disease. The National Early Warning Score (NEWS) score was used alongside with clinical assessment, chest computed tomographic (CT) scans, electrocardiography (ECG), and lab tests, like ferritin, C-reactive protein (CRP), interleukin (IL)-6, lactate dehydrogenase (LDH), and D-dimer.ResultsThe basic risk factors for cytokine storms in COVID-19 patients are male gender, age over 40 years, positive test result for replicative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA, absolute lymphocyte count, dynamics in the NEWS score, as well as LDH, D-dimer, ferritin, and IL-6 levels. These clinical and instrumental findings can be also used as laboratory biomarkers for diagnosis and dynamic monitoring of cytokine storms. The suggested prognostic scale (including the NEWS score dynamics; serum IL-6 greater than 23 pg/ml; serum CRP 50 mg/L or greater; absolute lymphocyte count less than 0.72 × 109/L; positive test result for replicative coronavirus (SARS-CoV-2) RNA; age 40 years and over) is a useful tool to identify patients at a high risk for cytokine storm, requiring an early onset of anti-inflammatory therapy.

Risk of hospital admission with covid-19 among teachers compared with healthcare workers and other adults of working age in Scotland, March 2020 to July 2021: population based case-control study

Objective To determine the risk of hospital admission with covid-19 and severe covid-19 among teachers and their household members, overall and compared with healthcare workers and adults of working age in the general population. Design Population based nested case-control study. Setting Scotland, March 2020 to July 2021, during defined periods of school closures and full openings in response to covid-19. Participants All cases of covid-19 in adults aged 21 to 65 (n=132 420) and a random sample of controls matched on age, sex, and general practice (n=1 306 566). Adults were identified as actively teaching in a Scottish school by the General Teaching Council for Scotland, and their household members were identified through the unique property reference number. The comparator groups were adults identified as healthcare workers in Scotland, their household members, and the remaining general population of working age. Main outcome measures The primary outcome was hospital admission with covid-19, defined as having a positive test result for SARS-CoV-2 during hospital admission, being admitted to hospital within 28 days of a positive test result, or receiving a diagnosis of covid-19 on discharge from hospital. Severe covid-19 was defined as being admitted to intensive care or dying within 28 days of a positive test result or assigned covid-19 as a cause of death. Results Most teachers were young (mean age 42), were women (80%), and had no comorbidities (84%). The risk (cumulative incidence) of hospital admission with covid-19 was <1% for all adults of working age in the general population. Over the study period, in conditional logistic regression models adjusted for age, sex, general practice, race/ethnicity, deprivation, number of comorbidities, and number of adults in the household, teachers showed a lower risk of hospital admission with covid-19 (rate ratio 0.77, 95% confidence interval 0.64 to 0.92) and of severe covid-19 (0.56, 0.33 to 0.97) than the general population. In the first period when schools in Scotland reopened, in autumn 2020, the rate ratio for hospital admission in teachers was 1.20 (0.89 to 1.61) and for severe covid-19 was 0.45 (0.13 to 1.55). The corresponding findings for household members of teachers were 0.91 (0.67 to 1.23) and 0.73 (0.37 to 1.44), and for patient facing healthcare workers were 2.08 (1.73 to 2.50) and 2.26 (1.43 to 3.59). Similar risks were seen for teachers in the second period, when schools reopened in summer 2021. These values were higher than those seen in spring/summer 2020, when schools were mostly closed. Conclusion Compared with adults of working age who are otherwise similar, teachers and their household members were not found to be at increased risk of hospital admission with covid-19 and were found to be at lower risk of severe covid-19. These findings should reassure those who are engaged in face-to-face teaching.

Antiphospholipid antibodies and their clinical significance

Обзор посвящён антифосфолипидным антителам (аФЛ) и их клинико-диагностической ценности. Рассматриваются вопросы стандартизации методов исследования аФЛ, в частности твердофазных тест-систем, одним из представителей которых является хемилюминесцентый анализ. Обсуждаются патогенетические аспекты антифосфолипидного синдрома (АФС) и описываются пути влияния аФЛ на различные компоненты гемостаза. Дается подробная характеристика β2-гликопротеина 1 (β2-ГП1) с описанием доменов. Подробно изучены клинические проявления и взаимосвязь «экстра»-критериальных аФЛ: IgA антител к кардиолипину (IgA-аКЛ), IgA антител к β2-ГП1 (IgA-аβ2-ГП1), антител к домену I β2-ГП1 (аβ2-ГП1-DI), антител к комплексу фосфатидилсерин–протромбин и аФЛ, не входящих в Сиднейские диагностические критерии АФС. Antiphospholipid syndrome (APS) is an acquired autoimmune thrombophilia in which patients have clinical signs of recurrent thrombosis and morbidity during pregnancy and constantly test positive for antibodies against phospholipid (aPL). At least one clinical (vascular thrombosis or pregnancy) and one laboratory (positive test result for anticoagulant lupus, anticardiolipin antibodies and/or anti-β2-glycoprotein 1 antibodies) must be performed in order for the patient to be classified as having APS. However, the clinical and laboratory APS spectra cover additional manifestations. Research interest is increasingly focused on developing new assays that may be more specifi c to APS than current aPL tests. This review focuses on extra criterion antiphospholipid antibodies — IgA antibodies to cardiolipin (IgA-aCL), IgA antibodies to β2-glycoprotein 1 (IgA-aβ2-GP1), antibodies to phosphatidylserine-prothrombin complex. A detailed description of aβ2-GP1 with a description of domains is given. The questions of standardization of aPL research methods, in particular, solid-phase test systems, one of which is chemiluminescent analysis, are examined.

Increases in SARS-CoV-2 Test Positivity Rates Among Hispanic People in a Northern California Health System

Racial/ethnic minority groups are disproportionately affected by the COVID-19 pandemic. We examined ethnic differences in SARS-CoV-2 testing patterns and positivity rates in a large health care system in Northern California. The study population included patients tested for SARS-CoV-2 from March 4, 2020, through January 12, 2021, at Stanford Health Care. We used adjusted hierarchical logistic regression models to identify factors associated with receiving a positive test result. During the study period, 282 916 SARS-CoV-2 tests were administered to 179 032 unique patients, 32 766 (18.3%) of whom were Hispanic. Hispanic patients were 3 times more likely to receive a positive test result than patients in other racial/ethnic groups (odds ratio = 3.16; 95% CI, 3.00-3.32). The rate of receiving a positive test result for SARS-CoV-2 among Hispanic patients increased from 5.4% in mid-March to 15.7% in mid-July, decreased to 3.9% in mid-October, and increased to 21.2% toward the end of December. Hispanic patients were more likely than non-Hispanic patients to receive a positive test result for SARS-CoV-2, with increasing trends during regional surges. The disproportionate and growing overrepresentation of Hispanic people receiving a positive test result for SARS-CoV-2 demonstrates the need to focus public health prevention efforts on these communities.

Evaluation of Three Commercial Interferon-γ Assays in a Bovine Tuberculosis Free Population

The interferon-γ assay has been used worldwide as an ancillary test for the diagnosis of bovine tuberculosis (bTB). This study aimed to describe, based on the bTB-free status in Switzerland, the difference of applying a more stringent cutoff point of 0.05 compared with 0.1 for bTB surveillance. Moreover, the effect of time between blood collection and stimulation, culture results, optical density values, and the influence of testing different breeds were evaluated. Blood samples from a total of 118 healthy cows older than 6 months were tested with three commercial interferon-gamma assays. To confirm the bTB-free status of the tested animals and to investigate potential cross-reactions with nontuberculous mycobacteria, pulmonary and abdominal lymph nodes in addition to ileal mucosa from each cattle were used for the detection of viable Mycobacteria spp. by specific culture. Significant differences regarding the proportion of false-positive results between the two Bovigam tests and between Bovigam 2G and ID Screen were found. Samples analyzed with Bovigam 2G were 2.5 [95% confidence interval (CI) 1.6–3.9] times more likely to yield a false-positive test result than samples analyzed with Bovigam TB. Similarly, the odds ratio (OR) for testing samples false-positive with ID Screen compared with Bovigam TB was 1.9 (95% CI 1.21–2.9). The OR for testing false-positive with ID Screen compared with Bovigam 2G was less to equally likely with an OR of 0.75 (95% CI 0.5–1.1). When using a cutoff of 0.05 instead of 0.1, the OR for a false-positive test result was 2.2 (95% CI 1.6–3.1). Samples tested after 6 h compared with a delayed stimulation time of 22–24 h were more likely to yield a false-positive test result with an OR of 3.9 (95% CI 2.7–5.6). In conclusion, applying a more stringent cutoff of 0.05 with the Bovigam 2G kit generates a questionable high number of false-positive results of one of three tested animals. Furthermore, specific breeds might show an increased risk to result false-positive in the Bovigam 2G and the ID Screen assays.

Foundational Statistical Principles in Medical Research: Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value

Sensitivity, which denotes the proportion of subjects correctly given a positive assignment out of all subjects who are actually positive for the outcome, indicates how well a test can classify subjects who truly have the outcome of interest. Specificity, which denotes the proportion of subjects correctly given a negative assignment out of all subjects who are actually negative for the outcome, indicates how well a test can classify subjects who truly do not have the outcome of interest. Positive predictive value reflects the proportion of subjects with a positive test result who truly have the outcome of interest. Negative predictive value reflects the proportion of subjects with a negative test result who truly do not have the outcome of interest. Sensitivity and specificity are inversely related, wherein one increases as the other decreases, but are generally considered stable for a given test, whereas positive and negative predictive values do inherently vary with pre-test probability (e.g., changes in population disease prevalence). This article will further detail the concepts of sensitivity, specificity, and predictive values using a recent real-world example from the medical literature.

941 Post-Operative Outcomes of Patients Undergoing Surgery During the Acceleration Period of COVID-19 Infection

Introduction There are concerns around the safety of performing surgery during COVID-19 outbreaks with few sources of robust evidence. Method We analysed 5020 consecutive patients who underwent surgery during the acceleration phase of COVID-19 at our hospital from 31st January to 13th April 2020. Data were also analysed for all patients who had a COVID-19 positive test result during the same study period. Results 156 patients (3%) developed COVID-19 symptoms after surgery; 28 patients (&lt;1%) subsequently had a positive swab result. All-cause mortality was 44 patients (0.9%); 33 deaths (75%) were due to non COVID-19 diagnoses. There were no adverse COVID-19 related outcomes in any of the 648 patients who had cancer operations. Of 28 COVID-19 positive patients, 11 died (8 orthopaedic, 2 urology, 1 vascular surgery) of which 10 had an emergency admission; all were over 70 years of age. Recent surgery was not an independent prognostic factor for survival after COVID-19 infection. 12% of positive COVID-19 swabs were from long-stay patients. Conclusions Of 5020 operative patients, 0.2% died from COVID-19 and most complications were not related to the infection. With careful consideration, surgery can be provided safely during times of COVID-19 outbreaks with particular emphasis on avoiding in-hospital transmission.