PMC:7417201 / 10060-12399 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T20","span":{"begin":1492,"end":1496},"obj":"Body_part"},{"id":"T21","span":{"begin":1542,"end":1547},"obj":"Body_part"},{"id":"T22","span":{"begin":2316,"end":2331},"obj":"Body_part"}],"attributes":[{"id":"A20","pred":"fma_id","subj":"T20","obj":"http://purl.org/sig/ont/fma/fma256135"},{"id":"A21","pred":"fma_id","subj":"T21","obj":"http://purl.org/sig/ont/fma/fma9576"},{"id":"A22","pred":"fma_id","subj":"T22","obj":"http://purl.org/sig/ont/fma/fma49893"}],"text":"The number of stress SPECT-MPI studies performed during the pandemic (n = 123) was significantly lower (P \u003c 0.0001) compared with the mean number of procedures in the corresponding months of the years 2017, 2018, and 2019 (n = 413) (Fig. 1). However, the percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65) during the pandemic (36%) compared with mean percentage value of the corresponding months of the years 2017, 2018, and 2019 (34%) (Fig. 2). Of note, given the mean number of 139 abnormal stress SPECT-MPI in the previous 3 years and the number of 44 abnormal tests during the pandemic, there was a 68% of abnormal test missed. Baseline characteristics of the entire population according to the year of SPECT-MPI execution are reported on Table 1. Most of the considered variables were comparable between the two study periods.\nFig. 1 Number of stress SPECT-MPI procedures performed during COVID-19 pandemic and during corresponding months of the years 2017, 2018, and 2019 (P for trend \u003c 0.0001)\nFig. 2 Prevalence of abnormal stress SPECT-MPI studies during COVID-19 pandemic and during the corresponding months of the years 2017, 2018, and 2019. The percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65)\nTable 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PD-UBERON","denotations":[{"id":"T22","span":{"begin":1542,"end":1547},"obj":"Body_part"},{"id":"T23","span":{"begin":2316,"end":2331},"obj":"Body_part"},{"id":"T24","span":{"begin":2325,"end":2331},"obj":"Body_part"}],"attributes":[{"id":"A22","pred":"uberon_id","subj":"T22","obj":"http://purl.obolibrary.org/obo/UBERON_0001443"},{"id":"A23","pred":"uberon_id","subj":"T23","obj":"http://purl.obolibrary.org/obo/UBERON_0001621"},{"id":"A24","pred":"uberon_id","subj":"T24","obj":"http://purl.obolibrary.org/obo/UBERON_0001637"}],"text":"The number of stress SPECT-MPI studies performed during the pandemic (n = 123) was significantly lower (P \u003c 0.0001) compared with the mean number of procedures in the corresponding months of the years 2017, 2018, and 2019 (n = 413) (Fig. 1). However, the percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65) during the pandemic (36%) compared with mean percentage value of the corresponding months of the years 2017, 2018, and 2019 (34%) (Fig. 2). Of note, given the mean number of 139 abnormal stress SPECT-MPI in the previous 3 years and the number of 44 abnormal tests during the pandemic, there was a 68% of abnormal test missed. Baseline characteristics of the entire population according to the year of SPECT-MPI execution are reported on Table 1. Most of the considered variables were comparable between the two study periods.\nFig. 1 Number of stress SPECT-MPI procedures performed during COVID-19 pandemic and during corresponding months of the years 2017, 2018, and 2019 (P for trend \u003c 0.0001)\nFig. 2 Prevalence of abnormal stress SPECT-MPI studies during COVID-19 pandemic and during the corresponding months of the years 2017, 2018, and 2019. The percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65)\nTable 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T54","span":{"begin":914,"end":922},"obj":"Disease"},{"id":"T55","span":{"begin":1083,"end":1091},"obj":"Disease"},{"id":"T56","span":{"begin":1591,"end":1599},"obj":"Disease"},{"id":"T57","span":{"begin":1737,"end":1749},"obj":"Disease"},{"id":"T58","span":{"begin":1790,"end":1804},"obj":"Disease"},{"id":"T59","span":{"begin":1896,"end":1899},"obj":"Disease"},{"id":"T61","span":{"begin":2312,"end":2315},"obj":"Disease"},{"id":"T63","span":{"begin":2316,"end":2339},"obj":"Disease"},{"id":"T64","span":{"begin":2325,"end":2339},"obj":"Disease"}],"attributes":[{"id":"A54","pred":"mondo_id","subj":"T54","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A55","pred":"mondo_id","subj":"T55","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A56","pred":"mondo_id","subj":"T56","obj":"http://purl.obolibrary.org/obo/MONDO_0005015"},{"id":"A57","pred":"mondo_id","subj":"T57","obj":"http://purl.obolibrary.org/obo/MONDO_0005044"},{"id":"A58","pred":"mondo_id","subj":"T58","obj":"http://purl.obolibrary.org/obo/MONDO_0021187"},{"id":"A59","pred":"mondo_id","subj":"T59","obj":"http://purl.obolibrary.org/obo/MONDO_0005010"},{"id":"A60","pred":"mondo_id","subj":"T59","obj":"http://purl.obolibrary.org/obo/MONDO_0018922"},{"id":"A61","pred":"mondo_id","subj":"T61","obj":"http://purl.obolibrary.org/obo/MONDO_0005010"},{"id":"A62","pred":"mondo_id","subj":"T61","obj":"http://purl.obolibrary.org/obo/MONDO_0018922"},{"id":"A63","pred":"mondo_id","subj":"T63","obj":"http://purl.obolibrary.org/obo/MONDO_0005010"},{"id":"A64","pred":"mondo_id","subj":"T64","obj":"http://purl.obolibrary.org/obo/MONDO_0000473"}],"text":"The number of stress SPECT-MPI studies performed during the pandemic (n = 123) was significantly lower (P \u003c 0.0001) compared with the mean number of procedures in the corresponding months of the years 2017, 2018, and 2019 (n = 413) (Fig. 1). However, the percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65) during the pandemic (36%) compared with mean percentage value of the corresponding months of the years 2017, 2018, and 2019 (34%) (Fig. 2). Of note, given the mean number of 139 abnormal stress SPECT-MPI in the previous 3 years and the number of 44 abnormal tests during the pandemic, there was a 68% of abnormal test missed. Baseline characteristics of the entire population according to the year of SPECT-MPI execution are reported on Table 1. Most of the considered variables were comparable between the two study periods.\nFig. 1 Number of stress SPECT-MPI procedures performed during COVID-19 pandemic and during corresponding months of the years 2017, 2018, and 2019 (P for trend \u003c 0.0001)\nFig. 2 Prevalence of abnormal stress SPECT-MPI studies during COVID-19 pandemic and during the corresponding months of the years 2017, 2018, and 2019. The percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65)\nTable 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T82","span":{"begin":207,"end":211},"obj":"http://purl.obolibrary.org/obo/CLO_0001185"},{"id":"T83","span":{"begin":347,"end":349},"obj":"http://purl.obolibrary.org/obo/CLO_0001313"},{"id":"T84","span":{"begin":435,"end":439},"obj":"http://purl.obolibrary.org/obo/CLO_0001185"},{"id":"T85","span":{"begin":451,"end":453},"obj":"http://purl.obolibrary.org/obo/CLO_0001302"},{"id":"T86","span":{"begin":584,"end":589},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"},{"id":"T87","span":{"begin":621,"end":622},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T88","span":{"begin":639,"end":643},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"},{"id":"T89","span":{"begin":983,"end":987},"obj":"http://purl.obolibrary.org/obo/CLO_0001185"},{"id":"T90","span":{"begin":1156,"end":1160},"obj":"http://purl.obolibrary.org/obo/CLO_0001185"},{"id":"T91","span":{"begin":1417,"end":1419},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T92","span":{"begin":1433,"end":1435},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T93","span":{"begin":1441,"end":1445},"obj":"http://purl.obolibrary.org/obo/UBERON_0003101"},{"id":"T94","span":{"begin":1441,"end":1445},"obj":"http://www.ebi.ac.uk/efo/EFO_0000970"},{"id":"T95","span":{"begin":1542,"end":1547},"obj":"http://www.ebi.ac.uk/efo/EFO_0000965"},{"id":"T96","span":{"begin":1565,"end":1567},"obj":"http://purl.obolibrary.org/obo/CLO_0001302"},{"id":"T97","span":{"begin":1582,"end":1584},"obj":"http://purl.obolibrary.org/obo/CLO_0001000"},{"id":"T98","span":{"begin":1767,"end":1770},"obj":"http://purl.obolibrary.org/obo/CLO_0054060"},{"id":"T99","span":{"begin":1916,"end":1918},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T100","span":{"begin":1978,"end":1982},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"},{"id":"T101","span":{"begin":1999,"end":2001},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T102","span":{"begin":2011,"end":2013},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T103","span":{"begin":2033,"end":2037},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"},{"id":"T104","span":{"begin":2092,"end":2095},"obj":"http://purl.obolibrary.org/obo/CLO_0001377"},{"id":"T105","span":{"begin":2097,"end":2099},"obj":"http://purl.obolibrary.org/obo/CLO_0001302"},{"id":"T106","span":{"begin":2105,"end":2107},"obj":"http://purl.obolibrary.org/obo/CLO_0001313"},{"id":"T107","span":{"begin":2114,"end":2116},"obj":"http://purl.obolibrary.org/obo/CLO_0001302"},{"id":"T108","span":{"begin":2161,"end":2163},"obj":"http://purl.obolibrary.org/obo/CLO_0050509"},{"id":"T109","span":{"begin":2169,"end":2172},"obj":"http://purl.obolibrary.org/obo/CLO_0001195"},{"id":"T110","span":{"begin":2174,"end":2176},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T111","span":{"begin":2325,"end":2331},"obj":"http://purl.obolibrary.org/obo/UBERON_0001637"},{"id":"T112","span":{"begin":2325,"end":2331},"obj":"http://www.ebi.ac.uk/efo/EFO_0000814"}],"text":"The number of stress SPECT-MPI studies performed during the pandemic (n = 123) was significantly lower (P \u003c 0.0001) compared with the mean number of procedures in the corresponding months of the years 2017, 2018, and 2019 (n = 413) (Fig. 1). However, the percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65) during the pandemic (36%) compared with mean percentage value of the corresponding months of the years 2017, 2018, and 2019 (34%) (Fig. 2). Of note, given the mean number of 139 abnormal stress SPECT-MPI in the previous 3 years and the number of 44 abnormal tests during the pandemic, there was a 68% of abnormal test missed. Baseline characteristics of the entire population according to the year of SPECT-MPI execution are reported on Table 1. Most of the considered variables were comparable between the two study periods.\nFig. 1 Number of stress SPECT-MPI procedures performed during COVID-19 pandemic and during corresponding months of the years 2017, 2018, and 2019 (P for trend \u003c 0.0001)\nFig. 2 Prevalence of abnormal stress SPECT-MPI studies during COVID-19 pandemic and during the corresponding months of the years 2017, 2018, and 2019. The percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65)\nTable 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-sentences","denotations":[{"id":"T72","span":{"begin":0,"end":241},"obj":"Sentence"},{"id":"T73","span":{"begin":242,"end":465},"obj":"Sentence"},{"id":"T74","span":{"begin":466,"end":651},"obj":"Sentence"},{"id":"T75","span":{"begin":652,"end":771},"obj":"Sentence"},{"id":"T76","span":{"begin":772,"end":851},"obj":"Sentence"},{"id":"T77","span":{"begin":852,"end":1020},"obj":"Sentence"},{"id":"T78","span":{"begin":1021,"end":1171},"obj":"Sentence"},{"id":"T79","span":{"begin":1172,"end":1246},"obj":"Sentence"},{"id":"T80","span":{"begin":1247,"end":1340},"obj":"Sentence"},{"id":"T81","span":{"begin":1341,"end":1399},"obj":"Sentence"},{"id":"T82","span":{"begin":1400,"end":1440},"obj":"Sentence"},{"id":"T83","span":{"begin":1441,"end":1491},"obj":"Sentence"},{"id":"T84","span":{"begin":1492,"end":1541},"obj":"Sentence"},{"id":"T85","span":{"begin":1542,"end":1590},"obj":"Sentence"},{"id":"T86","span":{"begin":1591,"end":1637},"obj":"Sentence"},{"id":"T87","span":{"begin":1638,"end":1683},"obj":"Sentence"},{"id":"T88","span":{"begin":1684,"end":1736},"obj":"Sentence"},{"id":"T89","span":{"begin":1737,"end":1789},"obj":"Sentence"},{"id":"T90","span":{"begin":1790,"end":1842},"obj":"Sentence"},{"id":"T91","span":{"begin":1843,"end":1889},"obj":"Sentence"},{"id":"T92","span":{"begin":1890,"end":1937},"obj":"Sentence"},{"id":"T93","span":{"begin":1938,"end":1957},"obj":"Sentence"},{"id":"T94","span":{"begin":1958,"end":2014},"obj":"Sentence"},{"id":"T95","span":{"begin":2015,"end":2071},"obj":"Sentence"},{"id":"T96","span":{"begin":2072,"end":2122},"obj":"Sentence"},{"id":"T97","span":{"begin":2123,"end":2182},"obj":"Sentence"},{"id":"T98","span":{"begin":2183,"end":2277},"obj":"Sentence"},{"id":"T99","span":{"begin":2278,"end":2339},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"The number of stress SPECT-MPI studies performed during the pandemic (n = 123) was significantly lower (P \u003c 0.0001) compared with the mean number of procedures in the corresponding months of the years 2017, 2018, and 2019 (n = 413) (Fig. 1). However, the percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65) during the pandemic (36%) compared with mean percentage value of the corresponding months of the years 2017, 2018, and 2019 (34%) (Fig. 2). Of note, given the mean number of 139 abnormal stress SPECT-MPI in the previous 3 years and the number of 44 abnormal tests during the pandemic, there was a 68% of abnormal test missed. Baseline characteristics of the entire population according to the year of SPECT-MPI execution are reported on Table 1. Most of the considered variables were comparable between the two study periods.\nFig. 1 Number of stress SPECT-MPI procedures performed during COVID-19 pandemic and during corresponding months of the years 2017, 2018, and 2019 (P for trend \u003c 0.0001)\nFig. 2 Prevalence of abnormal stress SPECT-MPI studies during COVID-19 pandemic and during the corresponding months of the years 2017, 2018, and 2019. The percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65)\nTable 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PD-HP","denotations":[{"id":"T12","span":{"begin":1542,"end":1552},"obj":"Phenotype"},{"id":"T13","span":{"begin":1638,"end":1645},"obj":"Phenotype"},{"id":"T14","span":{"begin":1737,"end":1749},"obj":"Phenotype"},{"id":"T15","span":{"begin":1790,"end":1804},"obj":"Phenotype"}],"attributes":[{"id":"A12","pred":"hp_id","subj":"T12","obj":"http://purl.obolibrary.org/obo/HP_0100749"},{"id":"A13","pred":"hp_id","subj":"T13","obj":"http://purl.obolibrary.org/obo/HP_0002094"},{"id":"A14","pred":"hp_id","subj":"T14","obj":"http://purl.obolibrary.org/obo/HP_0000822"},{"id":"A15","pred":"hp_id","subj":"T15","obj":"http://purl.obolibrary.org/obo/HP_0003077"}],"text":"The number of stress SPECT-MPI studies performed during the pandemic (n = 123) was significantly lower (P \u003c 0.0001) compared with the mean number of procedures in the corresponding months of the years 2017, 2018, and 2019 (n = 413) (Fig. 1). However, the percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65) during the pandemic (36%) compared with mean percentage value of the corresponding months of the years 2017, 2018, and 2019 (34%) (Fig. 2). Of note, given the mean number of 139 abnormal stress SPECT-MPI in the previous 3 years and the number of 44 abnormal tests during the pandemic, there was a 68% of abnormal test missed. Baseline characteristics of the entire population according to the year of SPECT-MPI execution are reported on Table 1. Most of the considered variables were comparable between the two study periods.\nFig. 1 Number of stress SPECT-MPI procedures performed during COVID-19 pandemic and during corresponding months of the years 2017, 2018, and 2019 (P for trend \u003c 0.0001)\nFig. 2 Prevalence of abnormal stress SPECT-MPI studies during COVID-19 pandemic and during the corresponding months of the years 2017, 2018, and 2019. The percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65)\nTable 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PubTator","denotations":[{"id":"135","span":{"begin":914,"end":922},"obj":"Disease"},{"id":"137","span":{"begin":1083,"end":1091},"obj":"Disease"},{"id":"146","span":{"begin":1896,"end":1934},"obj":"Gene"},{"id":"147","span":{"begin":1548,"end":1552},"obj":"Disease"},{"id":"148","span":{"begin":1591,"end":1599},"obj":"Disease"},{"id":"149","span":{"begin":1638,"end":1645},"obj":"Disease"},{"id":"150","span":{"begin":1737,"end":1749},"obj":"Disease"},{"id":"151","span":{"begin":1790,"end":1804},"obj":"Disease"},{"id":"152","span":{"begin":1938,"end":1944},"obj":"Disease"},{"id":"153","span":{"begin":2072,"end":2084},"obj":"Disease"}],"attributes":[{"id":"A135","pred":"tao:has_database_id","subj":"135","obj":"MESH:C000657245"},{"id":"A137","pred":"tao:has_database_id","subj":"137","obj":"MESH:C000657245"},{"id":"A146","pred":"tao:has_database_id","subj":"146","obj":"Gene:730249"},{"id":"A147","pred":"tao:has_database_id","subj":"147","obj":"MESH:D010146"},{"id":"A148","pred":"tao:has_database_id","subj":"148","obj":"MESH:D003920"},{"id":"A149","pred":"tao:has_database_id","subj":"149","obj":"MESH:D004417"},{"id":"A150","pred":"tao:has_database_id","subj":"150","obj":"MESH:D006973"},{"id":"A151","pred":"tao:has_database_id","subj":"151","obj":"MESH:D006949"},{"id":"A152","pred":"tao:has_database_id","subj":"152","obj":"MESH:D000079225"},{"id":"A153","pred":"tao:has_database_id","subj":"153","obj":"MESH:C535740"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"The number of stress SPECT-MPI studies performed during the pandemic (n = 123) was significantly lower (P \u003c 0.0001) compared with the mean number of procedures in the corresponding months of the years 2017, 2018, and 2019 (n = 413) (Fig. 1). However, the percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65) during the pandemic (36%) compared with mean percentage value of the corresponding months of the years 2017, 2018, and 2019 (34%) (Fig. 2). Of note, given the mean number of 139 abnormal stress SPECT-MPI in the previous 3 years and the number of 44 abnormal tests during the pandemic, there was a 68% of abnormal test missed. Baseline characteristics of the entire population according to the year of SPECT-MPI execution are reported on Table 1. Most of the considered variables were comparable between the two study periods.\nFig. 1 Number of stress SPECT-MPI procedures performed during COVID-19 pandemic and during corresponding months of the years 2017, 2018, and 2019 (P for trend \u003c 0.0001)\nFig. 2 Prevalence of abnormal stress SPECT-MPI studies during COVID-19 pandemic and during the corresponding months of the years 2017, 2018, and 2019. The percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65)\nTable 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T65","span":{"begin":914,"end":922},"obj":"SP_7"},{"id":"T66","span":{"begin":1083,"end":1091},"obj":"SP_7"},{"id":"T67","span":{"begin":2017,"end":2032},"obj":"CHEBI:52217;CHEBI:52217"},{"id":"T68","span":{"begin":2282,"end":2292},"obj":"UBERON:0002349"},{"id":"T69","span":{"begin":2316,"end":2331},"obj":"UBERON:0001621"},{"id":"T50079","span":{"begin":914,"end":922},"obj":"SP_7"},{"id":"T44925","span":{"begin":1083,"end":1091},"obj":"SP_7"},{"id":"T52972","span":{"begin":2017,"end":2032},"obj":"CHEBI:52217;CHEBI:52217"}],"text":"The number of stress SPECT-MPI studies performed during the pandemic (n = 123) was significantly lower (P \u003c 0.0001) compared with the mean number of procedures in the corresponding months of the years 2017, 2018, and 2019 (n = 413) (Fig. 1). However, the percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65) during the pandemic (36%) compared with mean percentage value of the corresponding months of the years 2017, 2018, and 2019 (34%) (Fig. 2). Of note, given the mean number of 139 abnormal stress SPECT-MPI in the previous 3 years and the number of 44 abnormal tests during the pandemic, there was a 68% of abnormal test missed. Baseline characteristics of the entire population according to the year of SPECT-MPI execution are reported on Table 1. Most of the considered variables were comparable between the two study periods.\nFig. 1 Number of stress SPECT-MPI procedures performed during COVID-19 pandemic and during corresponding months of the years 2017, 2018, and 2019 (P for trend \u003c 0.0001)\nFig. 2 Prevalence of abnormal stress SPECT-MPI studies during COVID-19 pandemic and during the corresponding months of the years 2017, 2018, and 2019. The percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65)\nTable 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}