scholarly journals COVID-19 test positivity: predictive value of various symptoms in a large community-based testing program in California

Author(s):  
Dave P. Miller ◽  
Scott Morrow ◽  
Robert M. Califf ◽  
Cameron Kaiser ◽  
Ritu Kapur ◽  
...  

AbstractBackgroundMuch of the early data on COVID-19 symptomatology was captured in the hospital setting. In a community setting the symptoms most predictive of SARS-CoV-2 positivity may be different. Data from the California sites of a COVID-19 community testing program are presented here.MethodsPrior to being tested, participants in the Baseline COVID-19 Testing Program completed an online screener, in which they self-reported basic demographics and the presence or absence of 10 symptoms. Both positive and negative COVID-19 RT-PCR tests were linked back to the screener data. A multivariable model of positivity was fit using generalized estimating equations, adjusting for month of testing as a fixed effect and accounting for clustering of data within each test site.ResultsAmong 547,018 first-time tests in California in 2020, positivity rates were 3.4%, 9.9%, and 19.8% for participants with no symptoms, 1 symptom, or 2 or more symptoms at the time of screening, respectively. All ten symptoms were individually associated with higher positivity rates, but only six of ten symptoms were associated with higher positivity when adjusting for other symptoms. Major symptoms with highest predictive value were recent loss of taste or smell, fever, and coughing with ORs of 3.27, 1.97, and 1.95, respectively. Shortness of breath and vomiting or diarrhea were negatively associated with positivity adjusting for other symptoms and, absent other symptoms, participants with these symptoms did not have significantly higher positivity rates than asymptomatic participants.ConclusionsRecent loss of taste and smell should be elevated to a major symptom along with fever and coughing in public health messaging and in our community approach to testing and surveillance, while mild to moderate shortness of breath should be de-emphasized as a sensitive early predictor of COVID-19 positivity.

2007 ◽  
Vol 73 (10) ◽  
pp. 1002-1005 ◽  
Author(s):  
D.O. Vu Huynh ◽  
Fariborz Lalezarzadeh ◽  
Shokry Lawandy ◽  
David T. Wong ◽  
Victor C. Joe

Several studies report sensitivity and specificity of abdominal computed tomography scans (CT) for the evaluation of acute appendicitis as high as 98 per cent. Despite increased utilization of CT, the rate of negative appendectomy has remained constant at 10 to 20 per cent. The objective of this study was to assess the effectiveness of CT in the evaluation of acute and perforated appendicitis in an academic community-based setting. A retrospective review of 550 patient charts with International Classification of Diseases-9 (ICD-9) codes for acute and perforated appendicitis from January 2002 to October 2005 was performed. Sensitivity of CT was 87 per cent with a positive predictive value of 92 per cent. Specificity was 42 per cent with a negative predictive value of 29 per cent. Negative appendectomy rates were similar with or without CT (11% vs 13%, respectively). Our data suggests that CT used liberally in everyday practice in a community-based setting to evaluate acute appendicitis may not have as strong of a diagnostic value as those used in protocol-driven research studies. Further prospective studies are needed to formulate criteria to better delineate the role of CT in the evaluation of acute appendicitis.


2018 ◽  
Vol 5 ◽  
pp. 2333794X1876914
Author(s):  
Ramya Deepthi Billa ◽  
Susan Szpunar ◽  
Lida Zeinali ◽  
Premchand Anne

The yield of outpatient echocardiograms varies based on the indication for the echocardiogram and the age of the patient. The purpose of this study was to determine the cumulative yield of outpatient echocardiograms by age group and reason for the test. A secondary aim was to determine the predictors of a positive echocardiogram in an outpatient cardiology clinic at a large community teaching hospital. We retrospectively reviewed the charts of 891 patients who had a first-time echocardiogram between 2011 and 2015. Positive yield was defined as echocardiographic findings that explained the reason for the echocardiogram. The overall positive yield was 8.2%. Children between birth and 3 months of age had the highest yield (34.2%), and children between 12 and 18 years of age had the lowest yield (1%). Patients with murmurs (18.1%) had the highest yield compared with patients with other signs or symptoms. By age group and reason, the highest yields were as follows: 0 to 3 months of age, murmur (39.2%); 4 to 11 months of age, >1 symptom (50%); and 1 to 5 years of age, shortness of breath (66.7%). Based on our study, the overall yield of echocardiograms in the outpatient pediatric setting is low. Age and symptoms should be considered before ordering an echocardiogram.


2021 ◽  
Vol 2 (10) ◽  
pp. 929-938
Author(s):  
Khin Phyu Pyar ◽  
Khine Khine Su ◽  
Kyaw Wunna ◽  
Myo Thant ◽  
Kaung Myat ◽  
...  

Background: In COVID-19 pandemic, the diagnosis and treatment must be as early as possible to save the life of each patient. Moreover, screening of asymptomatic carriers, close contacts or healthy subjects must not be delay to prevent transmission to publics. For confirmation of diagnosis of SARS-CoV-2 infection, nasopharyngeal swab must be tested either by real-time Reverse Transcription Polymerase Chain Reaction (RT-PCR) tests or Rapid Antigen Test (RAT). RAT is faster, easier and cheaper; thus, it is suitable for health service in developing country. Objectives: The aim of this study was to assess the diagnostic accuracy of Roche SARS-CoV-2 Rapid Antigen Test (RAT) in diagnosing SARS-CoV-2 infection. Methods: Hospital based exploratory study was done in out-patient department and fever clinic, and molecular laboratory of No. (1) Defence Services General Hospital. Nasopharyngeal swabs were taken, and the Roche SARS- CoV-2 RAT was conducted in parallel with RT-PCR test (reference standard). Results: Among the 932 patients/subjects recruited, RT-PCR was positive in 468 individuals, corresponding to a prevalence of 50.2%. The RAT was positive in 363 patients (60.4%), false positive in 120 patients; it was negative in 569 individuals (39.6%), false negative in 225 patients. The overall sensitivity of the RAT was 51.9% (95% Confidence Interval [CI] 47.29-56.53) and, the specificity was 74.1% (95% CI 69.9-78.07); positive predictive value was 66.9% and negative predictive value was 60.5%. The sensitivity varied with Ct value; 78% in clinical samples with Ct values < 20, 57.5% in those with Ct values between 21 and 25, 41.8% in samples with Ct values between 26 and 30, and, 36.4% in samples with Ct value > 30. Conclusion: The accuracy of the SARS-CoV-2 Roche RAT in diagnosing SARS-CoV-2 infections was inferior to RT-PCR and manufacturer’s data. The sensitivity was with low Cycle threshold values < 20 which were inversely related to the viral load. RAT test should be used in association with clinical impression of physicians. In hospital setting especially in emergency department, the role of RAT should be reconsidered in those patients presenting with anosmia and some cases of dyspnoea, late symptoms in the course of disease, as the RAT results would be false negative. Other errors may arise if the operator for RAT has to handle more than recommended tests per hour especially in the peak of epidemics.


Author(s):  
Brian E. Dixon ◽  
Kara Wools-Kaloustian ◽  
William F. Fadel ◽  
Thomas J. Duszynski ◽  
Constantin Yiannoutsos ◽  
...  

AbstractBackgroundPrior studies examining symptoms of COVID-19 are primarily descriptive and measured among hospitalized individuals. Understanding symptoms of SARS-CoV-2 infection in pre-clinical, community-based populations may improve clinical screening, particularly during flu season. We sought to identify key symptoms and symptom combinations in a community-based population using robust methods.MethodsWe pooled community-based cohorts of individuals aged 12 and older screened for SARS-CoV-2 infection in April and June 2020 for a statewide seroprevalence study. Main outcome was SARS-CoV-2 positivity. We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for individual symptoms as well as symptom combinations. We further employed multivariable logistic regression and exploratory factor analysis (EFA) to examine symptoms and combinations associated with SARS-CoV-2 infection.ResultsAmong 8214 individuals screened, 368 individuals (4.5%) were RT-PCR positive for SARS-CoV-2. Although two-thirds of symptoms were highly specific (>90.0%), most symptoms individually possessed a PPV <50.0%. The individual symptoms most greatly associated with SARS-CoV-2 positivity were fever (OR=5.34, p<0.001), anosmia (OR=4.08, p<0.001), ageusia (OR=2.38, p=0.006), and cough (OR=2.86, p<0.001). Results from EFA identified two primary symptom clusters most associated with SARS-CoV-2 infection: (1) ageusia, anosmia, and fever; and (2) shortness of breath, cough, and chest pain. Moreover, being non-white (13.6% vs. 2.3%, p<0.001), Hispanic (27.9% vs. 2.5%, p<0.001), or living in an Urban area (5.4% vs. 3.8%, p<0.001) was associated with infection.ConclusionsSymptoms can help distinguish SARS-CoV-2 infection from other respiratory viruses, especially in community or urgent care settings where rapid testing may be limited. Symptoms should further be structured in clinical documentation to support identification of new cases and mitigation of disease spread by public health. These symptoms, derived from asymptomatic as well as mildly infected individuals, can also inform vaccine and therapeutic clinical trials.Research in ContextEvidence before this studyUsing multiple journal articles queried from MEDLINE as well as a Cochrane systematic review, we examined all studies that described symptoms known to be associated with COVID-19. We further examined the guidelines from WHO and CDC on the symptoms those public health authorities consider to be associated with COVID-19. Most of the evidence comes from China, Italy, and the United States. Collectively prior research and guidance suggests there are a dozen symptoms reported by individuals who tested positive for COVID-19 in multiple countries. Symptoms include fever, cough, fatigue, anosmia, ageusia, shortness of breath, chills, myalgias, headache, sore throat, chest pain, and gastrointestinal issues. The evidence is generally of low quality as it is descriptive in nature, and it is biased towards hospitalized patients. Most studies report the proportion of patients hospitalized or testing positive for infection who report one or more symptoms within 3-14 days prior to hospitalization or infection. There has been little validation of symptoms among hospitalized or non-hospitalized patients. Furthermore, according to a Cochrane review, no studies to date assess combinations of different signs and symptoms.Added value of this studyThis study employs multiple, rigorous methods to examine the ability of specific symptoms as well as symptom combinations/groups to predict laboratory-confirmed (RT-PCR) infection of SARS-CoV-2. Furthermore, the study is unique in its large sample drawn exclusively from community-based populations rather than hospitalized patients.Implication of all the available evidenceCombining the evidence from this study with prior research suggests that anosmia and ageusia are key symptoms that differentiate COVID-19 from influenza-like symptoms. Clinical screening protocols for COVID-19 should look for these symptoms, which are not commonly asked of patients who present to urgent care or hospital with flu-like symptoms.Key pointsImportant symptoms specific to COVID-19 are fever, anosmia, ageusia, and cough. Two-thirds of symptoms were highly specific (>90.0%), yet most symptoms individually possessed a PPV <50.0%. This study confirms using robust methods the key symptoms associated with COVID-19 infection, and it also identifies combinations of symptoms strongly associated with positive infection


2018 ◽  
Vol 14 (12) ◽  
pp. e729-e738 ◽  
Author(s):  
Lucio Gordan ◽  
Marlo Blazer ◽  
Vishal Saundankar ◽  
Denise Kazzaz ◽  
Susan Weidner ◽  
...  

Purpose: Access to high-quality cancer care remains a challenge for many patients. One such barrier is the increasing cost of treatment. With recent shifts in cancer care delivery from community-based to hospital-based clinics, we examined whether this shift could result in increased costs for patients with three common tumor types. Methods: Cost data for 6,675 patients with breast, lung, and colorectal cancer were extracted from the IMS LifeLink database and analyzed as cost per patient per month (PPPM). Patients treated within a community setting were matched (2 to 1) with those treated at a hospital clinic on the basis of cancer type, chemotherapy regimen, receipt of radiation therapy, presence of metastatic disease, sex, prior surgery, and geographic region. Approximately 84% of patients were younger than 65 years of age. Results: Mean total PPPM cost was significantly lower for patients treated in a community- versus hospital-based clinic ($12,548 [standard deviation {SD}, $10,507] v $20,060 [SD, $16,555]; P < .001). The PPPM chemotherapy cost was also significantly lower in the community setting ($4,933 [SD, $4,983] v $8,443 [SD, $10,391]; P < .001). The lower cost observed in community practice was irrespective of chemotherapy regimen and tumor type. Conclusion: We observed significantly increased costs of care for our patient population treated at hospital-based clinics versus those treated at community-based clinics, largely driven by the increased cost of chemotherapy and provider visits in hospital-based clinics. If the site of cancer care delivery continues to shift toward hospital-based clinics, the increased health care spending for payers and patients should be better elucidated and addressed.


PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0241875
Author(s):  
Brian E. Dixon ◽  
Kara K. Wools-Kaloustian ◽  
William F. Fadel ◽  
Thomas J. Duszynski ◽  
Constantin Yiannoutsos ◽  
...  

Background Prior studies examining symptoms of COVID-19 are primarily descriptive and measured among hospitalized individuals. Understanding symptoms of SARS-CoV-2 infection in pre-clinical, community-based populations may improve clinical screening, particularly during flu season. We sought to identify key symptoms and symptom combinations in a community-based population using robust methods. Methods We pooled community-based cohorts of individuals aged 12 and older screened for SARS-CoV-2 infection in April and June 2020 for a statewide prevalence study. Main outcome was SARS-CoV-2 positivity. We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for individual symptoms as well as symptom combinations. We further employed multivariable logistic regression and exploratory factor analysis (EFA) to examine symptoms and combinations associated with SARS-CoV-2 infection. Results Among 8214 individuals screened, 368 individuals (4.5%) were RT-PCR positive for SARS-CoV-2. Although two-thirds of symptoms were highly specific (>90.0%), most symptoms individually possessed a PPV <50.0%. The individual symptoms most greatly associated with SARS-CoV-2 positivity were fever (OR = 5.34, p<0.001), anosmia (OR = 4.08, p<0.001), ageusia (OR = 2.38, p = 0.006), and cough (OR = 2.86, p<0.001). Results from EFA identified two primary symptom clusters most associated with SARS-CoV-2 infection: (1) ageusia, anosmia, and fever; and (2) shortness of breath, cough, and chest pain. Moreover, being non-white (13.6% vs. 2.3%, p<0.001), Hispanic (27.9% vs. 2.5%, p<0.001), or living in an Urban area (5.4% vs. 3.8%, p<0.001) was associated with infection. Conclusions Symptoms can help distinguish SARS-CoV-2 infection from other respiratory viruses, especially in community or urgent care settings where rapid testing may be limited. Symptoms should further be structured in clinical documentation to support identification of new cases and mitigation of disease spread by public health. These symptoms, derived from asymptomatic as well as mildly infected individuals, can also inform vaccine and therapeutic clinical trials.


2020 ◽  
Author(s):  
Christina Cassady ◽  
William Ben Mortenson ◽  
Andrea F Townson ◽  
Shannon Sproule ◽  
Janice Jennifer Eng

BACKGROUND Access to quality health information is essential for self-management after serious injuries such as spinal cord injury (SCI). OBJECTIVE The goal of this study was to evaluate the role of a consumer website in addressing the information needs of persons and families with SCI, as well as its impact on their knowledge and behaviour. METHODS Persons with SCI and family members were recruited from 3 settings: an acute hospital, a rehabilitation hospital, and an SCI community organization to acquire perspectives from early after injury to the chronic stage. Participants were introduced to the Spinal Cord Injury Research Evidence (SCIRE) Community website, which was an internet site developed to provide evidence-informed health information about SCI in everyday language. After using the SCIRE Community website for 4 weeks, semi-structured individual interviews were conducted to explore purposes of use, user experience, and impact on knowledge and behaviour. Interview transcripts were analyzed using qualitative thematic analysis. RESULTS The participants were 24 individuals (18 persons with SCI and 6 family members). Thirteen participants completed the study in a hospital setting and 11 participants in a community setting. We identified 3 main themes in the data: (1) ‘An internet tool to support and empower persons and families’ described the empowering nature of access to an independent information source which enabled persons and families with SCI to take a more active role in their care; (2) ‘an accessible source of credible information’ described how users valued easy to access content with oversight by experts (i.e., perceived to be trustworthy); and (3) ‘Opportunities to increase impact’ outlined suggestions on creating opportunities to engage with content through active learning strategies and community connections. CONCLUSIONS Persons and families with SCI valued having access to an independent online health information website, especially early after injury, as it helped to empower autonomy and facilitated better communication between persons and families and healthcare providers. Our study provides support for the value of internet-based health information as a supplementary tool for therapeutic education for persons and families with serious health conditions such as SCI.


Vaccines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 282
Author(s):  
Juan David Ramírez ◽  
Marina Muñoz ◽  
Nathalia Ballesteros ◽  
Luz H. Patiño ◽  
Sergio Castañeda ◽  
...  

The continuing evolution of SARS-CoV-2 and the emergence of novel variants have raised concerns about possible reinfection events and potential changes in the coronavirus disease 2019 (COVID-19) transmission dynamics. Utilizing Oxford Nanopore technologies, we sequenced paired samples of three patients with positive RT-PCR results in a 1–2-month window period, and subsequent phylogenetics and genetic polymorphism analysis of these genomes was performed. Herein, we report, for the first time, genomic evidence of one case of reinfection in Colombia, exhibiting different SARS-CoV-2 lineage classifications between samples (B.1 and B.1.1.269). Furthermore, we report two cases of possible viral persistence, highlighting the importance of deepening our understanding on the evolutionary intra-host traits of this virus throughout different timeframes of disease progression. These results emphasize the relevance of genomic surveillance as a tool for understanding SARS-CoV-2 infection dynamics, and how this may translate effectively to future control and mitigations efforts, such as the national vaccination program.


2020 ◽  
Vol 10 (1) ◽  
pp. 4
Author(s):  
Romain Vial ◽  
Marion Gully ◽  
Mickael Bobot ◽  
Violaine Scarfoglière ◽  
Philippe Brunet ◽  
...  

Background: Daily management to shield chronic dialysis patients from SARS-CoV-2 contamination makes patient care cumbersome. There are no screening methods to date and a molecular biology platform is essential to perform RT-PCR for SARS-CoV-2; however, accessibility remains poor. Our goal was to assess whether the tools routinely used to monitor our hemodialysis patients could represent reliable and quickly accessible diagnostic indicators to improve the management of our hemodialysis patients in this pandemic environment. Methods: In this prospective observational diagnostic study, we recruited patients from La Conception hospital. Patients were eligible for inclusion if suspected of SARS-CoV-2 infection when arriving at our center for a dialysis session between March 12th and April 24th 2020. They were included if both RT-PCR result for SARS-CoV-2 and cell blood count on the day that infection was suspected were available. We calculated the area under the curve (AUC) of the receiver operating characteristic curve. Results: 37 patients were included in the final analysis, of which 16 (43.2%) were COVID-19 positive. For the day of suspected COVID-19, total leukocytes were significantly lower in the COVID-19 positive group (4.1 vs. 7.4 G/L, p = 0.0072) and were characterized by lower neutrophils (2.7 vs. 5.1 G/L, p = 0.021) and eosinophils (0.01 vs. 0.15 G/L, p = 0.0003). Eosinophil count below 0.045 G/L identified SARS-CoV-2 infection with AUC of 0.9 [95% CI 0.81—1] (p < 0.0001), sensitivity of 82%, specificity of 86%, a positive predictive value of 82%, a negative predictive value of 86% and a likelihood ratio of 6.04. Conclusions: Eosinophil count enables rapid routine screening of symptomatic chronic hemodialysis patients suspected of being COVID-19 within a range of low or high probability.


Healthcare ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 74
Author(s):  
Pietro Elias Fubini ◽  
Laurent Suppan

Shortness of breath is a common complaint among patients in emergency medicine. While most common causes are usually promptly identified, less frequent aetiologies might be challenging to diagnose, especially in the pre-hospital setting. We report a case of prehospital dyspnoea initially ascribed to pulmonary oedema which turned out to be the result of profound metformin-associated metabolic acidosis. This diagnosis was already made during the prehospital phase by virtue of arterial blood gas measurement. Pre-hospital measurement of arterial blood gases is therefore feasible and can improve diagnostic accuracy in the field, thus avoiding unnecessary delay and potential harm to the patient before initiating the appropriate therapeutic actions.


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