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PMC:7796041 / 6528-10186 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
173 29-36 Species denotes patient Tax:9606
183 1563-1570 Species denotes patient Tax:9606
184 1776-1784 Species denotes patients Tax:9606
185 664-682 Chemical denotes hydroxychloroquine MESH:D006886
186 710-728 Chemical denotes hydroxychloroquine MESH:D006886
187 733-745 Chemical denotes azithromycin MESH:D017963
188 590-600 Disease denotes arrhythmia MESH:D001145
189 626-638 Disease denotes hypertension MESH:D006973
190 640-662 Disease denotes cardiovascular disease MESH:D002318
191 1831-1841 Disease denotes arrhythmia MESH:D001145
194 1925-1933 Species denotes patients Tax:9606
195 2002-2020 Disease denotes cardiac arrhythmia MESH:D001145
197 2269-2279 Disease denotes arrhythmia MESH:D001145
202 2769-2777 Species denotes patients Tax:9606
203 2583-2593 Disease denotes arrhythmia MESH:D001145
204 2856-2878 Disease denotes cardiovascular disease MESH:D002318
205 2947-2955 Disease denotes COVID-19 MESH:C000657245
215 3105-3113 Species denotes patients Tax:9606
216 3134-3142 Species denotes patients Tax:9606
217 3278-3286 Species denotes patients Tax:9606
218 3036-3055 Disease denotes atrial fibrillation MESH:D001281
219 3057-3059 Disease denotes AF MESH:D001281
220 3128-3130 Disease denotes AF MESH:D001281
221 3172-3174 Disease denotes AF MESH:D001281
222 3189-3191 Disease denotes AF MESH:D001281
223 3301-3303 Disease denotes AF MESH:D001281

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T35 590-600 Phenotype denotes arrhythmia http://purl.obolibrary.org/obo/HP_0011675
T36 626-638 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822
T37 640-662 Phenotype denotes cardiovascular disease http://purl.obolibrary.org/obo/HP_0001626
T38 1831-1841 Phenotype denotes arrhythmia http://purl.obolibrary.org/obo/HP_0011675
T39 2002-2020 Phenotype denotes cardiac arrhythmia http://purl.obolibrary.org/obo/HP_0011675
T40 2269-2279 Phenotype denotes arrhythmia http://purl.obolibrary.org/obo/HP_0011675
T41 2583-2593 Phenotype denotes arrhythmia http://purl.obolibrary.org/obo/HP_0011675
T42 2856-2878 Phenotype denotes cardiovascular disease http://purl.obolibrary.org/obo/HP_0001626
T43 3036-3055 Phenotype denotes atrial fibrillation http://purl.obolibrary.org/obo/HP_0005110
T44 3057-3059 Phenotype denotes AF http://purl.obolibrary.org/obo/HP_0005110
T45 3128-3130 Phenotype denotes AF http://purl.obolibrary.org/obo/HP_0005110
T46 3172-3174 Phenotype denotes AF http://purl.obolibrary.org/obo/HP_0005110
T47 3189-3191 Phenotype denotes AF http://purl.obolibrary.org/obo/HP_0005110
T48 3301-3303 Phenotype denotes AF http://purl.obolibrary.org/obo/HP_0005110

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T60 0-4 Sentence denotes 2.3.
T61 5-24 Sentence denotes Statistical Methods
T62 25-111 Sentence denotes The patient cohort was described using summary measures of the empirical distribution.
T63 112-264 Sentence denotes Continuous variables are reported as median (with inter-quartile range, 25th percentile = P25; 75th percentile = P75) or mean ± standard deviation (SD).
T64 265-349 Sentence denotes The t-test or Mann-Whitney-Wilcoxon-test were applied for between-group comparisons.
T65 350-507 Sentence denotes Dichotomous variables are presented as absolute and relative frequencies and were compared applying the Fisher Boschloo-test from the R package “Exact” [11].
T66 508-803 Sentence denotes For the purpose of selecting variables with predictive impact on the incidence of arrhythmia, the variables sex, age, hypertension, cardiovascular disease, hydroxychloroquine, and combined therapy with hydroxychloroquine and azithromycin were initially considered in terms of variable selection.
T67 804-930 Sentence denotes First, regularized logistic regression using the elastic net penalty implemented in the package “glmnet” was computed [12,13].
T68 931-1081 Sentence denotes The hyperparameters α (elastic net mixing parameter) and β (shrinkage parameter) were tuned conducting 5-fold cross-validation (CV) and a grid search.
T69 1082-1265 Sentence denotes Subsequently, multiple logistic regression modeling was conducted only incorporating the selected variables, to estimate the odds ratios (ORs) and their 95% confidence intervals (CI).
T70 1266-1428 Sentence denotes The area under the curve (AUC) value was computed applying the receiver operating characteristics (ROC) curve to evaluate the model using the package “pROC” [14].
T71 1429-1539 Sentence denotes To prevent overestimation of the model’s performance measure, the AUC-value was calculated applying 5-fold CV.
T72 1540-1662 Sentence denotes During 5-fold CV, each patient is part of the training set for four times and is assigned exactly once to the testing set.
T73 1663-1842 Sentence denotes Hence, in each step a model is fitted based on 80% of the data whereas a probability of the remaining 20% of the patients is estimated with respect to the incidence of arrhythmia.
T74 1843-1934 Sentence denotes Information on left ventricular ejection fraction (LVEF) was only available in 44 patients.
T75 1935-2097 Sentence denotes To account for a potential influence of LVEF on the development of cardiac arrhythmia, we performed attempts to impute the missing data (Supplementary Materials).
T76 2098-2211 Sentence denotes Due to a high number of missing values, LVEF was omitted from further analyses to ensure reliability of the data.
T77 2212-2335 Sentence denotes To evaluate the impact of biomarkers on the incidence of arrhythmia, univariate logistic regression modeling was performed.
T78 2336-2466 Sentence denotes The AUC-values und the Youden index for identifying the optimal cut-off value were computed for each biomarker, respectively [15].
T79 2467-2547 Sentence denotes Confidence intervals of the AUC-values were calculated according to DeLong [16].
T80 2548-2673 Sentence denotes To assess the prognostic impact of arrhythmia on clinical outcomes univariate and multiple regression modeling was performed.
T81 2674-2847 Sentence denotes To preserve the validity of multiple regression modeling in the light of the limited number of patients, the models were adjusted for a maximum of two additional covariates.
T82 2848-2989 Sentence denotes Age and cardiovascular disease were chosen due to their clinical significance regarding outcome in COVID-19 shown by previous studies [2,17].
T83 2990-3229 Sentence denotes Due to the high proportion of newly diagnosed atrial fibrillation (AF), we conducted a subgroup analysis comparing patients with incident AF to patients who neither had a history of AF nor displayed AF in the course of the hospitalization.
T84 3230-3346 Sentence denotes Due to the small sample size in the subgroup of patients with incident AF, only descriptive analyses were performed.
T85 3347-3570 Sentence denotes Due to the exploratory character of this analysis, the p-values are interpreted only in a descriptive sense and no adjustment for multiple testing was applied [18]. p-values < 0.05 were denoted as statistically significant.
T86 3571-3658 Sentence denotes The statistical analysis was performed using R version 4.0.2. [19] and SPSS version 25.