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Symptom patterns and comparison of diagnostic methods in ragweed pollen allergy.

ABSTRACT: The aim of the present study was to determine the pattern of symptoms of ragweed pollen-induced allergic disease in sensitized patients from Romania and to compare the molecular diagnosis of allergy with the skin prick test, in order to better characterize allergic patients and to guide therapy. A total of 97 subjects, including patients with ragweed pollen-induced allergic rhinoconjunctivitis with/without asthma, as well as healthy controls, were recruited prospectively in one ragweed pollen season, submitted to allergy questionnaires, skin prick tests and multiplex specific IgE (immunoglobulin E) measurement by ImmunoCAP ISAC (ImmunoCAP Immuno-Solid phase Allergy Chip) assay. A total of 83 patients were sensitized to ragweed pollen. Most patients (73%) were diagnosed with moderate-severe intermittent allergic rhinoconjunctivitis and 25% of the patients also had allergic asthma. The most common symptoms were watery rhinorrhea (91.57%), nasal obstruction (86.75%), and sneezing (85.54%). Most patients were polysensitized (62.65%), especially to other pollens, house dust mites and animal danders. Only 90% of the patients with positive skin prick test to ragweed pollen extract also had increased specific serum IgE to Amb a 1. Current options for specific molecular diagnosis of ragweed allergy are limited, as they only contain one or few of the sensitizing allergens present in ragweed pollen. An improved component-resolved diagnosis, using several ragweed pollen allergens, is required for better patient characterization and subsequent selection of an appropriate allergen immunotherapy product, thereby enabling a more personalized approach to the management of the ragweed-allergic patient.

SUBMITTER: Haidar L

PROVIDER: S-EPMC8014962 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundA large number of web-based COVID-19 symptom checkers and chatbots have been developed; however, anecdotal evidence suggests that their conclusions are highly variable. To our knowledge, no study has evaluated the accuracy of COVID-19 symptom checkers in a statistically rigorous manner.ObjectiveThe aim of this study is to evaluate and compare the diagnostic accuracies of web-based COVID-19 symptom checkers.MethodsWe identified 10 web-based COVID-19 symptom checkers, all of which were included in the study. We evaluated the COVID-19 symptom checkers by assessing 50 COVID-19 case reports alongside 410 non-COVID-19 control cases. A bootstrapping method was used to counter the unbalanced sample sizes and obtain confidence intervals (CIs). Results are reported as sensitivity, specificity, F1 score, and Matthews correlation coefficient (MCC).ResultsThe classification task between COVID-19-positive and COVID-19-negative for "high risk" cases among the 460 test cases yielded (sorted by F1 score): Symptoma (F1=0.92, MCC=0.85), Infermedica (F1=0.80, MCC=0.61), US Centers for Disease Control and Prevention (CDC) (F1=0.71, MCC=0.30), Babylon (F1=0.70, MCC=0.29), Cleveland Clinic (F1=0.40, MCC=0.07), Providence (F1=0.40, MCC=0.05), Apple (F1=0.29, MCC=-0.10), Docyet (F1=0.27, MCC=0.29), Ada (F1=0.24, MCC=0.27) and Your.MD (F1=0.24, MCC=0.27). For "high risk" and "medium risk" combined the performance was: Symptoma (F1=0.91, MCC=0.83) Infermedica (F1=0.80, MCC=0.61), Cleveland Clinic (F1=0.76, MCC=0.47), Providence (F1=0.75, MCC=0.45), Your.MD (F1=0.72, MCC=0.33), CDC (F1=0.71, MCC=0.30), Babylon (F1=0.70, MCC=0.29), Apple (F1=0.70, MCC=0.25), Ada (F1=0.42, MCC=0.03), and Docyet (F1=0.27, MCC=0.29).ConclusionsWe found that the number of correctly assessed COVID-19 and control cases varies considerably between symptom checkers, with different symptom checkers showing different strengths with respect to sensitivity and specificity. A good balance between sensitivity and specificity was only achieved by two symptom checkers.

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Symptom patterns and comparison of diagnostic methods in ragweed pollen allergy.

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