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10.1002/alr.22602 http://scihub22266oqcxt.onion/10.1002/alr.22602 32363809!7267242!32363809     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32363809&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+Forum+Allergy+Rhinol 2020 ; 10 (7): 832-838 Nephropedia Template TP {{tp|p=32363809|t=2020. Smell and taste symptom-based predictive model for COVID-19 diagnosis |pdf=|usr=}}{{32363809}} gab.com Text Smell and taste symptom-based predictive model for COVID-19 diagnosis JO: Int Forum Allergy Rhinol http://www.kidney.de/pget.php?&tw=1&pmid=32363809 #FOAvip BACKGROUND: The presentation of coronavirus 2019 (COVID-19) overlaps with common influenza symptoms. There is limited data on whether a specific symptom or collection of symptoms may be useful to predict test positivity. METHODS: An anonymous electronic survey was publicized through social media to query participants with COVID-19 testing. Respondents were questioned regarding 10 presenting symptoms, demographic information, comorbidities, and COVID-19 test results. Stepwise logistic regression was used to identify predictors for COVID-19 positivity. Selected classifiers were assessed for prediction performance using receiver operating characteristic (ROC) curve analysis. RESULTS: A total of 145 participants with positive COVID-19 testing and 157 with negative results were included. Participants had a mean age of 39 years, and 214 (72%) were female. Smell or taste change, fever, and body ache were associated with COVID-19 positivity, and shortness of breath and sore throat were associated with a negative test result (p < 0.05). A model using all 5 diagnostic symptoms had the highest accuracy with a predictive ability of 82% in discriminating between COVID-19 results. To maximize sensitivity and maintain fair diagnostic accuracy, a combination of 2 symptoms, change in sense of smell or taste and fever was found to have a sensitivity of 70% and overall discrimination accuracy of 75%. CONCLUSION: Smell or taste change is a strong predictor for a COVID-19-positive test result. Using the presence of smell or taste change with fever, this parsimonious classifier correctly predicts 75% of COVID-19 test results. A larger cohort of respondents will be necessary to refine classifier performance. Twit Text FOAVip Smell and taste symptom-based predictive model for COVID-19 diagnosis ????Int Forum Allergy Rhinol http://www.kidney.de/pget.php?&tw=1&pmid=32363809 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32363809 #FOAvip English Wikipedia <ref>{{Cite pmid|32363809}}</ref> Smell and taste symptom-based predictive model for COVID-19 diagnosis #MMPMID32363809 Roland LT; Gurrola JG 2nd; Loftus PA; Cheung SW; Chang JL Int Forum Allergy Rhinol 2020[Jul]; 10 (7): 832-838 PMID32363809show ga BACKGROUND: The presentation of coronavirus 2019 (COVID-19) overlaps with common influenza symptoms. There is limited data on whether a specific symptom or collection of symptoms may be useful to predict test positivity. METHODS: An anonymous electronic survey was publicized through social media to query participants with COVID-19 testing. Respondents were questioned regarding 10 presenting symptoms, demographic information, comorbidities, and COVID-19 test results. Stepwise logistic regression was used to identify predictors for COVID-19 positivity. Selected classifiers were assessed for prediction performance using receiver operating characteristic (ROC) curve analysis. RESULTS: A total of 145 participants with positive COVID-19 testing and 157 with negative results were included. Participants had a mean age of 39 years, and 214 (72%) were female. Smell or taste change, fever, and body ache were associated with COVID-19 positivity, and shortness of breath and sore throat were associated with a negative test result (p < 0.05). A model using all 5 diagnostic symptoms had the highest accuracy with a predictive ability of 82% in discriminating between COVID-19 results. To maximize sensitivity and maintain fair diagnostic accuracy, a combination of 2 symptoms, change in sense of smell or taste and fever was found to have a sensitivity of 70% and overall discrimination accuracy of 75%. CONCLUSION: Smell or taste change is a strong predictor for a COVID-19-positive test result. Using the presence of smell or taste change with fever, this parsimonious classifier correctly predicts 75% of COVID-19 test results. A larger cohort of respondents will be necessary to refine classifier performance. |*Models, Theoretical[MESH] |Adult[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques[MESH] |Cohort Studies[MESH] |Coronavirus Infections/*diagnosis/pathology/physiopathology[MESH] |Female[MESH] |Fever/physiopathology[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis/pathology/physiopathology[MESH] |ROC Curve[MESH] |SARS-CoV-2[MESH] |Smell/*physiology[MESH]Smell and taste symptom-based predictive model for COVID-19 diagnosis (epmc).pdf DeepDyve Pubget Overpricing