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PMC:7730445 / 753-4525 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
30 49-60 Species denotes coronavirus Tax:11118
31 73-120 Species denotes Severe Acute Respiratory Syndrome Coronavirus 2 Tax:2697049
32 122-132 Species denotes SARS-COV-2 Tax:2697049
33 224-249 Disease denotes novel coronavirus disease MESH:C000657245
34 251-264 Disease denotes 2019 COVID-19 MESH:C000657245
35 268-277 Disease denotes nCOVID-19 MESH:C000657245
40 803-810 Species denotes patient Tax:9606
41 832-842 Species denotes SARS-COV-2 Tax:2697049
42 444-450 Disease denotes deaths MESH:D003643
43 728-733 Disease denotes cough MESH:D003371
51 978-989 Species denotes Coronavirus Tax:11118
52 1402-1409 Species denotes patient Tax:9606
53 1153-1162 Disease denotes infection MESH:D007239
54 1345-1351 Disease denotes deaths MESH:D003643
55 1449-1457 Disease denotes COVID-19 MESH:C000657245
56 1487-1495 Disease denotes COVID-19 MESH:C000657245
57 1496-1505 Disease denotes mortality MESH:D003643
82 1683-1691 Species denotes patients Tax:9606
83 1706-1716 Species denotes SARS-COV-2 Tax:2697049
84 2166-2169 Species denotes men Tax:9606
85 2189-2194 Species denotes women Tax:9606
86 2534-2544 Species denotes SARS-CoV-2 Tax:2697049
87 1692-1700 Disease denotes infected MESH:D007239
88 1726-1738 Disease denotes hypertension MESH:D006973
89 1740-1748 Disease denotes diabetes MESH:D003920
90 1750-1757 Disease denotes obesity MESH:D009765
91 1759-1768 Disease denotes neoplasms MESH:D009369
92 1770-1792 Disease denotes chronic kidney disease MESH:D051436
93 1797-1834 Disease denotes chronic obstructive pulmonary disease MESH:D029424
94 1836-1840 Disease denotes COPD MESH:D029424
95 1950-1956 Disease denotes deaths MESH:D003643
96 1967-1990 Disease denotes cardiovascular diseases MESH:D002318
97 1996-2008 Disease denotes hypertension MESH:D006973
98 2113-2128 Disease denotes chronic disease MESH:D002908
99 2240-2246 Disease denotes deaths MESH:D003643
100 2278-2286 Disease denotes ischemic MESH:D007511
101 2287-2302 Disease denotes cardiac disease MESH:D006331
102 2304-2320 Disease denotes pulmonary cancer MESH:D008175
103 2324-2334 Disease denotes alcoholism MESH:D000437
104 2356-2364 Disease denotes diabetes MESH:D003920
105 2518-2528 Disease denotes infections MESH:D007239
114 2657-2666 Species denotes SARS-CoV2 Tax:2697049
115 3317-3327 Species denotes SARS-COV-2 Tax:2697049
116 2667-2673 Disease denotes deaths MESH:D003643
117 2859-2867 Disease denotes COVID-19 MESH:C000657245
118 2868-2874 Disease denotes deaths MESH:D003643
119 3072-3080 Disease denotes COVID-19 MESH:C000657245
120 3081-3086 Disease denotes death MESH:D003643
121 3133-3142 Disease denotes pneumonia MESH:D011014
126 3480-3494 Species denotes COVID-19 virus Tax:2697049
127 3612-3620 Disease denotes COVID-19 MESH:C000657245
128 3628-3637 Disease denotes pneumonia MESH:D011014
129 3752-3760 Disease denotes COVID-19 MESH:C000657245

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T4 728-733 Phenotype denotes cough http://purl.obolibrary.org/obo/HP_0012735
T5 748-768 Phenotype denotes breathing difficulty http://purl.obolibrary.org/obo/HP_0002094
T6 1726-1738 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822
T7 1750-1757 Phenotype denotes obesity http://purl.obolibrary.org/obo/HP_0001513
T8 1770-1792 Phenotype denotes chronic kidney disease http://purl.obolibrary.org/obo/HP_0012622
T9 1797-1834 Phenotype denotes chronic obstructive pulmonary disease http://purl.obolibrary.org/obo/HP_0006510
T10 1836-1840 Phenotype denotes COPD http://purl.obolibrary.org/obo/HP_0006510
T11 1967-1990 Phenotype denotes cardiovascular diseases http://purl.obolibrary.org/obo/HP_0001626
T12 1996-2008 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822
T13 2314-2320 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T14 3133-3142 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T15 3628-3637 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T7 0-12 Sentence denotes Introduction
T8 13-311 Sentence denotes The rapid spread of the new type of coronavirus named novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) from Wuhan (China) in the world determined the World Health Organization (WHO) to declare novel coronavirus disease (2019 COVID-19 or nCOVID-19) a pandemic on March 11, 20201,2.
T9 312-525 Sentence denotes The first confirmed case in Romania was on February 26, 2020, and, by April 20 2020, 8936 confirmed case, 2017 healed cases and 520 deaths had been recorded, 88 cases with missing data and 98,491 tests were done3.
T10 526-654 Sentence denotes The case definitions, as well as the therapies applied by the Romanian physicians, were also used in Italy, Spain and France4–7.
T11 655-903 Sentence denotes The diagnostic was established based on the clinical symptomatology like cough, temperature, breathing difficulty without a prescribed etiology, on patient's direct exposure to SARS-COV-2, and the corroboration by testing with the RT-PCR method8,9.
T12 904-1098 Sentence denotes The Romanian government took strict measures to limit the outbreak, and a Coronavirus task force was set up to coordinate this effort under the direct supervision of the Ministry of Health (MS).
T13 1099-1317 Sentence denotes Even though some cases of intra-hospital or community infection arose, they were isolated and contained with the help of special hygiene measures, social distancing and a very tight lockdown imposed by the authorities.
T14 1318-1458 Sentence denotes However, a large number of deaths were confirmed among the adult population with no patient under 20 years of age dying because of COVID-19.
T15 1459-1635 Sentence denotes Hence, issues regarding the COVID-19 mortality, especially the relationship with the comorbidities and the burden of disease are of great importance for the medical community8.
T16 1636-1909 Sentence denotes Several studies about the comorbidities of the patients infected with SARS-COV-2 indicate hypertension, diabetes, obesity, neoplasms, chronic kidney disease and chronic obstructive pulmonary disease (COPD) as leading risk factors for a lethal evolution of the disease10–12.
T17 1910-2052 Sentence denotes Romania holds a top place in Europe for deaths caused by cardiovascular diseases with hypertension affecting over 45% of the adult population.
T18 2053-2198 Sentence denotes Almost half of the population aged over 65 has at least one chronic disease, and 1 in 5 adults smokes daily (32% men as compared to 18% women)13.
T19 2199-2337 Sentence denotes Moreover, Romania has a record number of deaths due to preventable causes like ischemic cardiac disease, pulmonary cancer or alcoholism14.
T20 2338-2469 Sentence denotes The prevalence of diabetes is approximately 11.6% and doubles for prediabetes as confirmed by Predatorr study15 and Mentor study16.
T21 2470-2612 Sentence denotes Therefore, it is expected that a high number of infections with SARS-CoV-2 in Romania to have a severe course of the disease or to end deadly.
T22 2613-2928 Sentence denotes To investigate the comorbidity profiles for SARS-CoV2 deaths, an observational retrospective study was conducted starting from the official public communications of Romanian Ministry of Internal Affairs (MAI) regarding the fatalities declared as COVID-19 deaths by the National Institute of Public Health (INSP)4,8.
T23 2929-3207 Sentence denotes Additionally, data from the National Center for Statistics and Informatics in Public Health were utilized to run a case-case study between the COVID-19 death population and the fatalities due to hospital pneumonia between March 22 and April 20 in the years 2016–2018 in Romania.
T24 3208-3339 Sentence denotes As far as we know, this is the first study in Eastern Europe that investigates patterns of comorbidities for SARS-COV-2 fatalities.
T25 3340-3552 Sentence denotes Our principal research question is to generate hypothesis about comorbidity and burden of disease in the population deceased because of the COVID-19 virus and to investigate their association with gender and age.
T26 3553-3772 Sentence denotes Additionally, the comparison between the fatalities due to COVID-19 and to pneumonia in terms of gender, age and comorbidity profiles allows us to characterize the specific medical pre-conditions of COVID-19 population.