Predictive symptoms and comorbidities for severe COVID-19 and intensive care unit admission: a systematic review and meta-analysis

Objectives COVID-19 has a varied clinical presentation. Elderly patients with comorbidities are more vulnerable to severe disease. This study identifies specific symptoms and comorbidities predicting severe COVID-19 and intensive care unit (ICU) admission. Methods A literature search identified stud...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	International journal of public health Ročník 65; číslo 5; s. 533 - 546
Hlavní autoři:	Jain, Vageesh, Yuan, Jin-Min
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.06.2020 Springer Nature B.V
Témata:	Betacoronavirus Cardiovascular disease Cardiovascular Diseases - complications Chronic obstructive pulmonary disease Comorbidity Coronavirus Infections - complications Coronaviruses COVID-19 Critical Care Dyspnea Environmental Health Hospitalization Humans Hypertension Hypertension - complications Intensive care Intensive Care Units Medicine Medicine & Public Health Meta-analysis Occupational Medicine/Industrial Medicine Pandemics Pneumonia, Viral - complications Public Health Pulmonary Disease, Chronic Obstructive - complications Review SARS-CoV-2 COVID-19 Disease severity Novel coronavirus Epidemiology Public health Risk factors
ISSN:	1661-8556, 1661-8564, 1661-8564
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	Objectives COVID-19 has a varied clinical presentation. Elderly patients with comorbidities are more vulnerable to severe disease. This study identifies specific symptoms and comorbidities predicting severe COVID-19 and intensive care unit (ICU) admission. Methods A literature search identified studies indexed in MEDLINE, EMBASE and Global Health before 5th March 2020. Two reviewers independently screened the literature and extracted data. Quality appraisal was performed using STROBE criteria. Random effects meta-analysis identified symptoms and comorbidities associated with severe COVID-19 or ICU admission. Results Seven studies (including 1813 COVID-19 patients) were included. ICU patients were older (62.4 years) than non-ICU (46 years), with a greater proportion of males. Dyspnoea was the only symptom predictive for severe disease (pOR 3.70, 95% CI 1.83–7.46) and ICU admission (pOR 6.55, 95% CI 4.28–10.0). COPD was the strongest predictive comorbidity for severe disease (pOR 6.42, 95% CI 2.44–16.9) and ICU admission (pOR 17.8, 95% CI 6.56–48.2), followed by cardiovascular disease and hypertension. Conclusions Dyspnoea was the only symptom predictive for severe COVID-19 and ICU admission. Patients with COPD, cardiovascular disease and hypertension were at higher risk of severe illness and ICU admission.
AbstractList	COVID-19 has a varied clinical presentation. Elderly patients with comorbidities are more vulnerable to severe disease. This study identifies specific symptoms and comorbidities predicting severe COVID-19 and intensive care unit (ICU) admission. A literature search identified studies indexed in MEDLINE, EMBASE and Global Health before 5th March 2020. Two reviewers independently screened the literature and extracted data. Quality appraisal was performed using STROBE criteria. Random effects meta-analysis identified symptoms and comorbidities associated with severe COVID-19 or ICU admission. Seven studies (including 1813 COVID-19 patients) were included. ICU patients were older (62.4 years) than non-ICU (46 years), with a greater proportion of males. Dyspnoea was the only symptom predictive for severe disease (pOR 3.70, 95% CI 1.83-7.46) and ICU admission (pOR 6.55, 95% CI 4.28-10.0). COPD was the strongest predictive comorbidity for severe disease (pOR 6.42, 95% CI 2.44-16.9) and ICU admission (pOR 17.8, 95% CI 6.56-48.2), followed by cardiovascular disease and hypertension. Dyspnoea was the only symptom predictive for severe COVID-19 and ICU admission. Patients with COPD, cardiovascular disease and hypertension were at higher risk of severe illness and ICU admission. COVID-19 has a varied clinical presentation. Elderly patients with comorbidities are more vulnerable to severe disease. This study identifies specific symptoms and comorbidities predicting severe COVID-19 and intensive care unit (ICU) admission.OBJECTIVESCOVID-19 has a varied clinical presentation. Elderly patients with comorbidities are more vulnerable to severe disease. This study identifies specific symptoms and comorbidities predicting severe COVID-19 and intensive care unit (ICU) admission.A literature search identified studies indexed in MEDLINE, EMBASE and Global Health before 5th March 2020. Two reviewers independently screened the literature and extracted data. Quality appraisal was performed using STROBE criteria. Random effects meta-analysis identified symptoms and comorbidities associated with severe COVID-19 or ICU admission.METHODSA literature search identified studies indexed in MEDLINE, EMBASE and Global Health before 5th March 2020. Two reviewers independently screened the literature and extracted data. Quality appraisal was performed using STROBE criteria. Random effects meta-analysis identified symptoms and comorbidities associated with severe COVID-19 or ICU admission.Seven studies (including 1813 COVID-19 patients) were included. ICU patients were older (62.4 years) than non-ICU (46 years), with a greater proportion of males. Dyspnoea was the only symptom predictive for severe disease (pOR 3.70, 95% CI 1.83-7.46) and ICU admission (pOR 6.55, 95% CI 4.28-10.0). COPD was the strongest predictive comorbidity for severe disease (pOR 6.42, 95% CI 2.44-16.9) and ICU admission (pOR 17.8, 95% CI 6.56-48.2), followed by cardiovascular disease and hypertension.RESULTSSeven studies (including 1813 COVID-19 patients) were included. ICU patients were older (62.4 years) than non-ICU (46 years), with a greater proportion of males. Dyspnoea was the only symptom predictive for severe disease (pOR 3.70, 95% CI 1.83-7.46) and ICU admission (pOR 6.55, 95% CI 4.28-10.0). COPD was the strongest predictive comorbidity for severe disease (pOR 6.42, 95% CI 2.44-16.9) and ICU admission (pOR 17.8, 95% CI 6.56-48.2), followed by cardiovascular disease and hypertension.Dyspnoea was the only symptom predictive for severe COVID-19 and ICU admission. Patients with COPD, cardiovascular disease and hypertension were at higher risk of severe illness and ICU admission.CONCLUSIONSDyspnoea was the only symptom predictive for severe COVID-19 and ICU admission. Patients with COPD, cardiovascular disease and hypertension were at higher risk of severe illness and ICU admission. ObjectivesCOVID-19 has a varied clinical presentation. Elderly patients with comorbidities are more vulnerable to severe disease. This study identifies specific symptoms and comorbidities predicting severe COVID-19 and intensive care unit (ICU) admission.MethodsA literature search identified studies indexed in MEDLINE, EMBASE and Global Health before 5th March 2020. Two reviewers independently screened the literature and extracted data. Quality appraisal was performed using STROBE criteria. Random effects meta-analysis identified symptoms and comorbidities associated with severe COVID-19 or ICU admission.ResultsSeven studies (including 1813 COVID-19 patients) were included. ICU patients were older (62.4 years) than non-ICU (46 years), with a greater proportion of males. Dyspnoea was the only symptom predictive for severe disease (pOR 3.70, 95% CI 1.83–7.46) and ICU admission (pOR 6.55, 95% CI 4.28–10.0). COPD was the strongest predictive comorbidity for severe disease (pOR 6.42, 95% CI 2.44–16.9) and ICU admission (pOR 17.8, 95% CI 6.56–48.2), followed by cardiovascular disease and hypertension.ConclusionsDyspnoea was the only symptom predictive for severe COVID-19 and ICU admission. Patients with COPD, cardiovascular disease and hypertension were at higher risk of severe illness and ICU admission. Objectives COVID-19 has a varied clinical presentation. Elderly patients with comorbidities are more vulnerable to severe disease. This study identifies specific symptoms and comorbidities predicting severe COVID-19 and intensive care unit (ICU) admission. Methods A literature search identified studies indexed in MEDLINE, EMBASE and Global Health before 5th March 2020. Two reviewers independently screened the literature and extracted data. Quality appraisal was performed using STROBE criteria. Random effects meta-analysis identified symptoms and comorbidities associated with severe COVID-19 or ICU admission. Results Seven studies (including 1813 COVID-19 patients) were included. ICU patients were older (62.4 years) than non-ICU (46 years), with a greater proportion of males. Dyspnoea was the only symptom predictive for severe disease (pOR 3.70, 95% CI 1.83–7.46) and ICU admission (pOR 6.55, 95% CI 4.28–10.0). COPD was the strongest predictive comorbidity for severe disease (pOR 6.42, 95% CI 2.44–16.9) and ICU admission (pOR 17.8, 95% CI 6.56–48.2), followed by cardiovascular disease and hypertension. Conclusions Dyspnoea was the only symptom predictive for severe COVID-19 and ICU admission. Patients with COPD, cardiovascular disease and hypertension were at higher risk of severe illness and ICU admission.
Author	Jain, Vageesh Yuan, Jin-Min
Author_xml	– sequence: 1 givenname: Vageesh surname: Jain fullname: Jain, Vageesh organization: Public Health England, Institute for Global Health, University College London – sequence: 2 givenname: Jin-Min orcidid: 0000-0002-8376-6241 surname: Yuan fullname: Yuan, Jin-Min email: Jin-Min.Yuan@Islington.gov.uk organization: Public Health, London Boroughs of Camden & Islington
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/32451563$$D View this record in MEDLINE/PubMed
BookMark	eNp9kk1v1DAQhiNURD_gD3BAkbhwCYztxHY4IKHlq1KlcgCulu1MiqvEXmzvor32l9e7WxbooSePNM_7ekbznlZHPnisqucEXhMA8SYBAJMNUGiAsB4a8ag6IZyTRna8PTrUHT-uTlO6BuAggTypjhltO9JxdlLdfI04OJvdGuu0mZc5zKnWfqhtmEM0bnDZYarHEOuEa4xYLy5_nH9oSL-jnM_o01ZsdemtvMu1HmaXkgv-ba2LZ8o46-xsHXHt8PdONmPWjfZ62iSXnlaPRz0lfHb3nlXfP338tvjSXFx-Pl-8v2hs10JuNDGdpq0B0RptqdAt0z1YqiX20oxWCMrtMHJu-IhigBFlj3o0whophbHsrHq3912uzIyDRZ-jntQyulnHjQraqf873v1UV2GtBG05A1oMXt0ZxPBrhSmrsqjFadIewyop2gLvu3IKVtCX99DrsIpl4S1FmSS96EihXvw70WGUP-cpAN0DNoaUIo4HhIDaZkDtM6BKBtQuA0oUkbwnsi6XC4TtVm56WMr20lT-8VcY_479gOoW9LTIvg
CitedBy_id	crossref_primary_10_3390_ijerph182010671 crossref_primary_10_1016_j_jsps_2020_10_019 crossref_primary_10_3390_ijerph19095519 crossref_primary_10_3889_oamjms_2022_8709 crossref_primary_10_1007_s00520_022_07544_y crossref_primary_10_1186_s12879_021_06038_2 crossref_primary_10_1097_CCE_0000000000000400 crossref_primary_10_1007_s10055_024_00964_7 crossref_primary_10_3389_fimmu_2020_579220 crossref_primary_10_1007_s42399_021_00749_y crossref_primary_10_1002_ams2_715 crossref_primary_10_3390_ijerph192315581 crossref_primary_10_1007_s00592_020_01586_6 crossref_primary_10_1055_s_0042_1755365 crossref_primary_10_1177_0310057X231201184 crossref_primary_10_5005_jp_journals_10071_24009 crossref_primary_10_1002_rmv_2258 crossref_primary_10_1016_j_resmer_2022_100937 crossref_primary_10_3390_medicina57111148 crossref_primary_10_1007_s00103_021_03391_0 crossref_primary_10_2196_37507 crossref_primary_10_1136_bmjoq_2022_002074 crossref_primary_10_1186_s40510_021_00355_7 crossref_primary_10_1186_s40001_021_00563_1 crossref_primary_10_1371_journal_pone_0257018 crossref_primary_10_1016_j_enfcli_2022_01_005 crossref_primary_10_1371_journal_pone_0286589 crossref_primary_10_1089_met_2022_0089 crossref_primary_10_3390_healthcare10122404 crossref_primary_10_1002_jev2_12112 crossref_primary_10_1007_s11845_021_02753_6 crossref_primary_10_1001_jamanetworkopen_2020_22310 crossref_primary_10_1136_bmjopen_2024_094658 crossref_primary_10_1111_jan_15039 crossref_primary_10_46246_KJAsEM_250008 crossref_primary_10_3390_jpm12050706 crossref_primary_10_1016_j_cegh_2024_101869 crossref_primary_10_3389_fmed_2021_588013 crossref_primary_10_1136_heartjnl_2021_320047 crossref_primary_10_3389_fimmu_2022_1051059 crossref_primary_10_1016_j_enfcle_2022_01_003 crossref_primary_10_1016_j_dialog_2022_100022 crossref_primary_10_1371_journal_pone_0246318 crossref_primary_10_3390_v16111683 crossref_primary_10_3201_eid2704_204709 crossref_primary_10_1080_02770903_2021_1879130 crossref_primary_10_1177_21501327211054281 crossref_primary_10_1080_17843286_2021_1890452 crossref_primary_10_1016_j_nutos_2021_05_001 crossref_primary_10_1371_journal_pone_0261529 crossref_primary_10_1016_j_pcd_2021_07_008 crossref_primary_10_1016_j_accpm_2022_101121 crossref_primary_10_1212_WNL_0000000000013067 crossref_primary_10_3389_fpubh_2021_645200 crossref_primary_10_3390_medicina58070941 crossref_primary_10_3390_ijerph18073842 crossref_primary_10_1108_IJM_06_2021_0372 crossref_primary_10_1016_j_clim_2021_108849 crossref_primary_10_31482_mmsl_2021_038 crossref_primary_10_1016_j_drudis_2021_07_026 crossref_primary_10_1016_j_nmd_2021_03_011 crossref_primary_10_1097_MCP_0000000000000812 crossref_primary_10_1007_s00251_022_01284_3 crossref_primary_10_4081_mrm_2020_713 crossref_primary_10_1007_s10708_022_10680_x crossref_primary_10_12688_f1000research_26186_2 crossref_primary_10_12688_f1000research_26186_1 crossref_primary_10_2478_bjmg_2023_0005 crossref_primary_10_1007_s00281_020_00821_0 crossref_primary_10_21926_obm_icm_2302025 crossref_primary_10_1308_rcsann_2020_7007 crossref_primary_10_1007_s12288_021_01407_y crossref_primary_10_1016_j_ejrad_2021_109612 crossref_primary_10_3390_ijerph19010406 crossref_primary_10_3748_wjg_v28_i5_570 crossref_primary_10_7861_fhj_2020_0194 crossref_primary_10_1088_1748_9326_ac4538 crossref_primary_10_1177_10815589231220573 crossref_primary_10_3389_fimmu_2022_977443 crossref_primary_10_3389_ijph_2021_634904 crossref_primary_10_1111_imj_16276 crossref_primary_10_3201_eid2702_203729 crossref_primary_10_1016_j_exger_2021_111507 crossref_primary_10_3389_fmed_2020_00526 crossref_primary_10_1016_j_arbres_2021_02_006 crossref_primary_10_1016_j_vaccine_2021_01_053 crossref_primary_10_1016_j_zefq_2021_07_005 crossref_primary_10_1186_s12879_025_10450_3 crossref_primary_10_1371_journal_pone_0253660 crossref_primary_10_1371_journal_pone_0283983 crossref_primary_10_1002_jcb_30566 crossref_primary_10_1093_milmed_usab415 crossref_primary_10_3389_fnut_2022_938769 crossref_primary_10_1016_j_rce_2021_04_007 crossref_primary_10_3389_fimmu_2021_651715 crossref_primary_10_4102_sajid_v37i1_434 crossref_primary_10_3390_jpm13010132 crossref_primary_10_1007_s00011_021_01517_3 crossref_primary_10_1136_jech_2022_218920 crossref_primary_10_1055_s_0041_1732814 crossref_primary_10_7189_jogh_13_06026 crossref_primary_10_1097_MD_0000000000040505 crossref_primary_10_1038_s41467_020_18982_9 crossref_primary_10_1016_j_procs_2023_01_039 crossref_primary_10_1186_s12877_021_02340_5 crossref_primary_10_3390_ijerph19138058 crossref_primary_10_3390_healthcare11050751 crossref_primary_10_1016_j_ijtb_2021_08_015 crossref_primary_10_12998_wjcc_v11_i8_1761 crossref_primary_10_1590_1516_3180_2021_0604_r1_23112021 crossref_primary_10_3390_jcm10091951 crossref_primary_10_1590_1806_9282_20220669 crossref_primary_10_26633_RPSP_2022_43 crossref_primary_10_1371_journal_pone_0260249 crossref_primary_10_1016_j_cyto_2025_156867 crossref_primary_10_1016_j_obmed_2021_100323 crossref_primary_10_1186_s12014_024_09488_3 crossref_primary_10_7759_cureus_85666 crossref_primary_10_1007_s40615_022_01478_1 crossref_primary_10_2147_IJGM_S313757 crossref_primary_10_1016_j_ijregi_2022_04_011 crossref_primary_10_7759_cureus_11079 crossref_primary_10_1111_gwao_12657 crossref_primary_10_1590_s1678_9946202264074 crossref_primary_10_1002_jmv_28234 crossref_primary_10_1002_jcla_23692 crossref_primary_10_1007_s12539_020_00403_6 crossref_primary_10_2147_JMDH_S426607 crossref_primary_10_3389_fpubh_2023_995602 crossref_primary_10_5005_jp_journals_10071_24085 crossref_primary_10_1017_S095026882100042X crossref_primary_10_1002_emp2_12294 crossref_primary_10_3390_medicina59091583 crossref_primary_10_1111_joim_13646 crossref_primary_10_1038_s41392_021_00819_6 crossref_primary_10_1590_0034_7167_2023_0172pt crossref_primary_10_3390_su151914401 crossref_primary_10_3390_molecules25225346 crossref_primary_10_3233_JAD_200891 crossref_primary_10_3390_ijerph19031828 crossref_primary_10_1016_j_habitatint_2022_102627 crossref_primary_10_2196_42461 crossref_primary_10_3389_fresc_2021_777396 crossref_primary_10_1590_0034_7167_2023_0172 crossref_primary_10_1038_s41598_021_87917_1 crossref_primary_10_3390_ijerph18094761 crossref_primary_10_3390_metabo14040195 crossref_primary_10_1007_s15033_020_1879_1 crossref_primary_10_1108_JIMA_09_2021_0322 crossref_primary_10_3389_fmed_2021_791716 crossref_primary_10_1080_0952813X_2021_1960634 crossref_primary_10_1371_journal_pone_0279565 crossref_primary_10_1007_s00484_022_02246_w crossref_primary_10_7759_cureus_50212 crossref_primary_10_1038_s41598_021_89182_8 crossref_primary_10_3389_fmicb_2024_1361197 crossref_primary_10_1007_s00296_021_05056_2 crossref_primary_10_3390_jcm11195687 crossref_primary_10_12688_f1000research_160423_1 crossref_primary_10_1097_MD_0000000000030799 crossref_primary_10_2147_RMHP_S292440 crossref_primary_10_3389_fpubh_2024_1278046 crossref_primary_10_1016_j_clon_2020_10_021 crossref_primary_10_1164_rccm_202102_0266ED crossref_primary_10_1016_j_actpsy_2023_103838 crossref_primary_10_1097_MS9_0000000000000949 crossref_primary_10_4239_wjd_v12_i9_1550 crossref_primary_10_7554_eLife_61390 crossref_primary_10_1111_pace_14247 crossref_primary_10_3390_ijerph20054639 crossref_primary_10_1111_joim_13559 crossref_primary_10_1016_j_rceng_2021_04_009 crossref_primary_10_7759_cureus_26909 crossref_primary_10_5472_marumj_1368360 crossref_primary_10_7759_cureus_23636 crossref_primary_10_1016_j_sjbs_2021_03_071 crossref_primary_10_1371_journal_pone_0261428 crossref_primary_10_1186_s12916_021_02003_7 crossref_primary_10_3389_fpubh_2021_584182 crossref_primary_10_3390_vaccines11020250 crossref_primary_10_1016_S1473_3099_23_00271_2 crossref_primary_10_1515_med_2021_0273 crossref_primary_10_1016_j_cyto_2022_155873 crossref_primary_10_3389_fped_2021_736013 crossref_primary_10_1080_07391102_2022_2112080 crossref_primary_10_1016_j_alcohol_2020_10_003 crossref_primary_10_1007_s10875_021_01066_8 crossref_primary_10_3390_diagnostics11081383 crossref_primary_10_3390_vaccines9050475 crossref_primary_10_1002_hep_31649 crossref_primary_10_1016_j_jiph_2021_10_028 crossref_primary_10_3390_medicina57090878 crossref_primary_10_3390_diagnostics12071567 crossref_primary_10_1186_s12879_022_07164_1 crossref_primary_10_3390_ijms25073714 crossref_primary_10_1590_1806_9282_20230048 crossref_primary_10_3389_fpubh_2022_896713 crossref_primary_10_2147_IJGM_S404696 crossref_primary_10_1002_jmv_29943 crossref_primary_10_1038_s41598_021_89548_y crossref_primary_10_3390_ijms26052349 crossref_primary_10_7759_cureus_41036 crossref_primary_10_7189_jogh_10_020503 crossref_primary_10_1186_s13643_022_02111_2
Cites_doi	10.1111/all.14238 10.1037/1082-989X.3.4.486 10.1101/2020.03.15.20035360 10.1097/RLI.0000000000000672 10.1001/jama.2020.1585 10.1016/j.jinf.2020.02.018 10.1001/jama.2020.2648 10.1007/s11255-020-02451-9 10.1136/thorax.58.5.377 10.1056/NEJMoa2002032 10.1007/s00392-020-01626-9 10.1016/S0140-6736(20)30627-9 10.7326/0003-4819-147-8-200710160-00010 10.1007/s00134-020-06033-2 10.1056/NEJMp2002125 10.1002/jmv.25735 10.2807/1560-7917.ES.2020.25.6.2000110 10.1016/j.jinf.2020.02.017 10.1016/S0140-6736(20)30183-5 10.1016/S2213-2600(20)30079-5 10.1016/j.tmaid.2020.101623 10.1016/j.ijid.2020.03.017
ContentType	Journal Article
Copyright	Swiss School of Public Health (SSPH+) 2020 Swiss School of Public Health (SSPH+) 2020.
Copyright_xml	– notice: Swiss School of Public Health (SSPH+) 2020 – notice: Swiss School of Public Health (SSPH+) 2020.
DBID	AAYXX CITATION CGR CUY CVF ECM EIF NPM K9. 7X8 5PM
DOI	10.1007/s00038-020-01390-7
DatabaseName	CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Health & Medical Complete (Alumni) MEDLINE - Academic PubMed Central (Full Participant titles)
DatabaseTitle	CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) ProQuest Health & Medical Complete (Alumni) MEDLINE - Academic
DatabaseTitleList	MEDLINE MEDLINE - Academic ProQuest Health & Medical Complete (Alumni)
Database_xml	– sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Medicine Public Health
EISSN	1661-8564
EndPage	546
ExternalDocumentID	PMC7246302 32451563 10_1007_s00038_020_01390_7
Genre	Meta-Analysis Systematic Review Journal Article
GroupedDBID	--- -53 -5E -5G -BR -EM -Y2 -~C ..I .VR 06C 06D 0R~ 0VY 1CY 1N0 203 29J 29~ 2J2 2JY 2KG 2LR 2P1 2VQ 2~H 30V 3V. 4.4 408 409 40D 40E 53G 5GY 5VS 67Z 6NX 7X7 88E 8C1 8FI 8FJ 8TC 8UJ 95- 95. 95~ 96X 9T4 AAAVM AABHQ AAFWJ AAIAL AAJJC AAJKR AANXM AARHV AARTL AATVU AAWCG AAWTL AAYIU AAYQN AAYTO AAYZH ABBBX ABBXA ABDZT ABFTV ABHLI ABIPD ABIVO ABJNI ABJOX ABKCH ABKTR ABMNI ABMOR ABNWP ABPLI ABQBU ABQSL ABTEG ABTMW ABUWG ABXPI ACBXY ACGFS ACHQT ACHXU ACKNC ACMLO ACOKC ACOMO ACSNA ACUDM ADBBV ADHIR ADINQ ADKPE ADRFC ADURQ ADYFF ADZKW AEBTG AEGAL AEGNC AEJHL AEJRE AEKMD AENEX AEOHA AEPYU AETLH AEXYK AFBBN AFEXP AFKRA AFLOW AFPKN AFWTZ AFZKB AGAYW AGDGC AGJBK AGQMX AGWIL AGWZB AGYKE AHAVH AHBYD AHIZS AHKAY AHMBA AHSBF AHYZX AIIXL AILAN AITGF AJBLW AJRNO AJZVZ AKMHD ALIPV ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP ARMRJ ASPBG AVWKF AXYYD AZFZN B-. BA0 BDATZ BENPR BGNMA BPHCQ BVXVI CAG CCPQU COF CS3 CSCUP DL5 DU5 EBS EIOEI EJD EMOBN EN4 ESBYG F5P FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC FYUFA G-Y G-Z GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GROUPED_DOAJ GRRUI GXS H13 HF~ HG5 HG6 HMCUK HMJXF HQYDN HRMNR HVGLF HZ~ IJ- IXC IXD IXE IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX KDC KOV KPH LAS M1P M4Y MA- N2Q N9A NB0 NQJWS NU0 O93 O9G O9I O9J OAM OK1 P9S PF0 PGMZT PIMPY PQQKQ PROAC PSQYO Q2X QOK QOR QOS R89 R9I RHV ROL RPM RSV S16 S1Z S27 S37 S3B SAP SDE SDH SHX SISQX SMD SNE SNX SOJ SPISZ SSXJD STPWE SV3 SZ9 SZN T13 TSG TSK TSV TT1 TUC U9L UG4 UKHRP UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WJK WK8 XHW YLTOR Z45 Z7W Z81 Z83 ZMTXR ZOVNA ~EX AAYXX ABFSG ACSTC ADHKG AEZWR AFFHD AFHIU AGQPQ AHWEU AIXLP CITATION PHGZM PHGZT PJZUB PPXIY CGR CUY CVF ECM EIF NPM K9. 7X8 5PM
ID	FETCH-LOGICAL-c540t-a1b5a24b074bac27a43a90c2a8e98bfc7726cdf66b6fe7d0fe89eafb7cb887bc3
IEDL.DBID	RSV
ISICitedReferencesCount	277
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000535375100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1661-8556 1661-8564
IngestDate	Tue Nov 04 01:57:35 EST 2025 Wed Oct 01 14:21:03 EDT 2025 Sat Nov 29 14:17:16 EST 2025 Mon Jul 21 06:05:25 EDT 2025 Tue Nov 18 21:52:00 EST 2025 Sat Nov 29 01:53:02 EST 2025 Fri Feb 21 02:33:09 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	5
Keywords	COVID-19 Disease severity Novel coronavirus Epidemiology Public health Risk factors
Language	English
License	This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c540t-a1b5a24b074bac27a43a90c2a8e98bfc7726cdf66b6fe7d0fe89eafb7cb887bc3
Notes	ObjectType-Article-2 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Feature-3 ObjectType-Evidence Based Healthcare-1 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3
ORCID	0000-0002-8376-6241
OpenAccessLink	http://dx.doi.org/10.1007/s00038-020-01390-7
PMID	32451563
PQID	2423819751
PQPubID	54874
PageCount	14
ParticipantIDs	pubmedcentral_primary_oai_pubmedcentral_nih_gov_7246302 proquest_miscellaneous_2406950133 proquest_journals_2423819751 pubmed_primary_32451563 crossref_primary_10_1007_s00038_020_01390_7 crossref_citationtrail_10_1007_s00038_020_01390_7 springer_journals_10_1007_s00038_020_01390_7
PublicationCentury	2000
PublicationDate	2020-06-01
PublicationDateYYYYMMDD	2020-06-01
PublicationDate_xml	– month: 06 year: 2020 text: 2020-06-01 day: 01
PublicationDecade	2020
PublicationPlace	Cham
PublicationPlace_xml	– name: Cham – name: Switzerland – name: Basel
PublicationTitle	International journal of public health
PublicationTitleAbbrev	Int J Public Health
PublicationTitleAlternate	Int J Public Health
PublicationYear	2020
Publisher	Springer International Publishing Springer Nature B.V
Publisher_xml	– name: Springer International Publishing – name: Springer Nature B.V
References	GattinoniLChiumelloDCaironiPCOVID-19 pneumonia: different respiratory treatments for different phenotypes?Intensive Care Med202010.1007/s00134-020-06033-2325041027272593 LiKWuJWuFThe clinical and chest CT features associated with severe and critical COVID-19 pneumoniaInvest Radiol202010.1097/RLI.0000000000000672321348007147282 WuZMcGooganJMCharacteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in ChinaJAMA202032312391:CAS:528:DC%2BB3cXnsFCqsrs%3D10.1001/jama.2020.2648 GuanW-JNiZ-YHuYClinical characteristics of coronavirus disease 2019 in ChinaN Engl J Med202010.1056/NEJMoa2002032322202067121484 LiBYangJZhaoFPrevalence and impact of cardiovascular metabolic diseases on COVID-19 in ChinaClin Res Cardiol20201095315381:CAS:528:DC%2BB3cXltFersrs%3D10.1007/s00392-020-01626-932161990 LimWSvan der EerdenMMLaingRDefining community acquired pneumonia severity on presentation to hospital: an international derivation and validation studyThorax2003583773821:STN:280:DC%2BD3s3jslOqug%3D%3D10.1136/thorax.58.5.377127281551746657 YangXYuYXuJClinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational studyLancet Respir Med202026001710.1016/S2213-2600(20)30079-5 HuangCWangYLiXClinical features of patients infected with 2019 novel coronavirus in Wuhan, ChinaLancet20203954975061:CAS:528:DC%2BB3cXhs1Kqu7c%3D10.1016/S0140-6736(20)30183-53198626431986264 SunPQieSLiuZClinical characteristics of hospitalized patients with SARS-CoV-2 infection: a single arm meta-analysisJ Med Virol2020926126171:CAS:528:DC%2BB3cXntlelsrs%3D10.1002/jmv.25735 StataCorp. (2015) Stata Statistical Software: Release 14 Intensive care national audit & research centre (2020) ICNARC report on COVID-19 in critical care. 4 April 2020 HenryBMLippiGChronic kidney disease is associated with severe coronavirus disease 2019 (COVID-19) infectionInt Urol Nephrol202020199101:CAS:528:DC%2BB3cXlvFyjsro%3D10.1007/s11255-020-02451-9 CowlingBJLeungGMEpidemiological research priorities for public health control of the ongoing global novel coronavirus (2019-nCoV) outbreakEurosurveillance2020251510.2807/1560-7917.ES.2020.25.6.2000110 von ElmEAltmanDGEggerMThe strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studiesAnn Int Med200714757310.7326/0003-4819-147-8-200710160-00010 WHO-China Joint Mission (2020) Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19) Rodriguez-MoralesAJCardona-OspinaJAGutiérrez-OcampoEClinical, laboratory and imaging features of COVID-19: a systematic review and meta-analysisTravel Med Infect Dis202010.1016/j.tmaid.2020.101623324798167271224 WangDHuBHuCClinical characteristics of 138 hospitalized patients With 2019 novel coronavirus-infected pneumonia in Wuhan, ChinaJAMA202010.1001/jama.2020.1585325436817259465 TianSHuNLouJCharacteristics of COVID-19 infection in BeijingJ Infect2020804014061:CAS:528:DC%2BB3cXhtVantL7M10.1016/j.jinf.2020.02.018321128867102527 XuY-HDongJ-HAnWClinical and computed tomographic imaging features of novel coronavirus pneumonia caused by SARS-CoV-2J Infect2020803944001:CAS:528:DC%2BB3cXhtVantL%2FF10.1016/j.jinf.2020.02.017321094437102535 Centers for Disease Control and Prevention (2020b) Interim Clinical Guidance for Management of Patients with Confirmed Coronavirus Disease (COVID-19). https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-guidance-management-patients.html. Accessed 25 April 2020 Centers for Disease Control and Prevention (2020a) People who are at higher risk for severe illness. https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/groups-at-higher-risk.html. Accessed 25 April 2020 YangJZhengYGouXPrevalence of comorbidities and its effects in coronavirus disease 2019 patients: a systematic review and meta-analysisInt J Infect Dis20209491951:CAS:528:DC%2BB3cXnslOgsrY%3D10.1016/j.ijid.2020.03.017321735747194638 LipsitchMSwerdlowDLFinelliLDefining the epidemiology of Covid-19—studies neededN Engl J Med2020382119411961:CAS:528:DC%2BB3cXmt1Whtr8%3D10.1056/NEJMp200212532074416 Jain V, Yuan J-M (2020) Systematic review and meta-analysis of predictive symptoms and comorbidities for severe COVID-19 infection. medRxiv. https://doi.org/10.1101/2020.03.15.20035360 HedgesLVVeveaJLFixed- and random-effects models in meta-analysisPsychol Methods1998348650410.1037/1082-989X.3.4.486 RemuzziARemuzziGCOVID-19 and Italy: what next?Lancet2020395122512281:CAS:528:DC%2BB3cXltFeqsLw%3D10.1016/S0140-6736(20)30627-9321787697102589 ZhangJDongXCaoYClinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, ChinaAllergy202011423810.1111/all.14238 S Tian (1390_CR19) 2020; 80 Y-H Xu (1390_CR24) 2020; 80 LV Hedges (1390_CR6) 1998; 3 K Li (1390_CR12) 2020 D Wang (1390_CR21) 2020 B Li (1390_CR11) 2020; 109 1390_CR22 1390_CR1 W-J Guan (1390_CR5) 2020 1390_CR2 J Yang (1390_CR25) 2020; 94 M Lipsitch (1390_CR14) 2020; 382 BM Henry (1390_CR7) 2020; 2019 Z Wu (1390_CR23) 2020; 323 J Zhang (1390_CR27) 2020; 1 1390_CR17 A Remuzzi (1390_CR15) 2020; 395 E von Elm (1390_CR20) 2007; 147 C Huang (1390_CR8) 2020; 395 1390_CR9 1390_CR10 AJ Rodriguez-Morales (1390_CR16) 2020 P Sun (1390_CR18) 2020; 92 BJ Cowling (1390_CR3) 2020; 25 WS Lim (1390_CR13) 2003; 58 X Yang (1390_CR26) 2020; 2600 L Gattinoni (1390_CR4) 2020
References_xml	– reference: Jain V, Yuan J-M (2020) Systematic review and meta-analysis of predictive symptoms and comorbidities for severe COVID-19 infection. medRxiv. https://doi.org/10.1101/2020.03.15.20035360 – reference: ZhangJDongXCaoYClinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, ChinaAllergy202011423810.1111/all.14238 – reference: YangJZhengYGouXPrevalence of comorbidities and its effects in coronavirus disease 2019 patients: a systematic review and meta-analysisInt J Infect Dis20209491951:CAS:528:DC%2BB3cXnslOgsrY%3D10.1016/j.ijid.2020.03.017321735747194638 – reference: HedgesLVVeveaJLFixed- and random-effects models in meta-analysisPsychol Methods1998348650410.1037/1082-989X.3.4.486 – reference: LimWSvan der EerdenMMLaingRDefining community acquired pneumonia severity on presentation to hospital: an international derivation and validation studyThorax2003583773821:STN:280:DC%2BD3s3jslOqug%3D%3D10.1136/thorax.58.5.377127281551746657 – reference: HuangCWangYLiXClinical features of patients infected with 2019 novel coronavirus in Wuhan, ChinaLancet20203954975061:CAS:528:DC%2BB3cXhs1Kqu7c%3D10.1016/S0140-6736(20)30183-53198626431986264 – reference: Centers for Disease Control and Prevention (2020b) Interim Clinical Guidance for Management of Patients with Confirmed Coronavirus Disease (COVID-19). https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-guidance-management-patients.html. Accessed 25 April 2020 – reference: Intensive care national audit & research centre (2020) ICNARC report on COVID-19 in critical care. 4 April 2020 – reference: YangXYuYXuJClinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational studyLancet Respir Med202026001710.1016/S2213-2600(20)30079-5 – reference: GattinoniLChiumelloDCaironiPCOVID-19 pneumonia: different respiratory treatments for different phenotypes?Intensive Care Med202010.1007/s00134-020-06033-2325041027272593 – reference: TianSHuNLouJCharacteristics of COVID-19 infection in BeijingJ Infect2020804014061:CAS:528:DC%2BB3cXhtVantL7M10.1016/j.jinf.2020.02.018321128867102527 – reference: Centers for Disease Control and Prevention (2020a) People who are at higher risk for severe illness. https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/groups-at-higher-risk.html. Accessed 25 April 2020 – reference: LiKWuJWuFThe clinical and chest CT features associated with severe and critical COVID-19 pneumoniaInvest Radiol202010.1097/RLI.0000000000000672321348007147282 – reference: CowlingBJLeungGMEpidemiological research priorities for public health control of the ongoing global novel coronavirus (2019-nCoV) outbreakEurosurveillance2020251510.2807/1560-7917.ES.2020.25.6.2000110 – reference: LipsitchMSwerdlowDLFinelliLDefining the epidemiology of Covid-19—studies neededN Engl J Med2020382119411961:CAS:528:DC%2BB3cXmt1Whtr8%3D10.1056/NEJMp200212532074416 – reference: Rodriguez-MoralesAJCardona-OspinaJAGutiérrez-OcampoEClinical, laboratory and imaging features of COVID-19: a systematic review and meta-analysisTravel Med Infect Dis202010.1016/j.tmaid.2020.101623324798167271224 – reference: WuZMcGooganJMCharacteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in ChinaJAMA202032312391:CAS:528:DC%2BB3cXnsFCqsrs%3D10.1001/jama.2020.2648 – reference: SunPQieSLiuZClinical characteristics of hospitalized patients with SARS-CoV-2 infection: a single arm meta-analysisJ Med Virol2020926126171:CAS:528:DC%2BB3cXntlelsrs%3D10.1002/jmv.25735 – reference: GuanW-JNiZ-YHuYClinical characteristics of coronavirus disease 2019 in ChinaN Engl J Med202010.1056/NEJMoa2002032322202067121484 – reference: von ElmEAltmanDGEggerMThe strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studiesAnn Int Med200714757310.7326/0003-4819-147-8-200710160-00010 – reference: WHO-China Joint Mission (2020) Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19) – reference: StataCorp. (2015) Stata Statistical Software: Release 14 – reference: HenryBMLippiGChronic kidney disease is associated with severe coronavirus disease 2019 (COVID-19) infectionInt Urol Nephrol202020199101:CAS:528:DC%2BB3cXlvFyjsro%3D10.1007/s11255-020-02451-9 – reference: LiBYangJZhaoFPrevalence and impact of cardiovascular metabolic diseases on COVID-19 in ChinaClin Res Cardiol20201095315381:CAS:528:DC%2BB3cXltFersrs%3D10.1007/s00392-020-01626-932161990 – reference: WangDHuBHuCClinical characteristics of 138 hospitalized patients With 2019 novel coronavirus-infected pneumonia in Wuhan, ChinaJAMA202010.1001/jama.2020.1585325436817259465 – reference: XuY-HDongJ-HAnWClinical and computed tomographic imaging features of novel coronavirus pneumonia caused by SARS-CoV-2J Infect2020803944001:CAS:528:DC%2BB3cXhtVantL%2FF10.1016/j.jinf.2020.02.017321094437102535 – reference: RemuzziARemuzziGCOVID-19 and Italy: what next?Lancet2020395122512281:CAS:528:DC%2BB3cXltFeqsLw%3D10.1016/S0140-6736(20)30627-9321787697102589 – volume: 1 start-page: 14238 year: 2020 ident: 1390_CR27 publication-title: Allergy doi: 10.1111/all.14238 – ident: 1390_CR9 – volume: 3 start-page: 486 year: 1998 ident: 1390_CR6 publication-title: Psychol Methods doi: 10.1037/1082-989X.3.4.486 – ident: 1390_CR10 doi: 10.1101/2020.03.15.20035360 – year: 2020 ident: 1390_CR12 publication-title: Invest Radiol doi: 10.1097/RLI.0000000000000672 – year: 2020 ident: 1390_CR21 publication-title: JAMA doi: 10.1001/jama.2020.1585 – ident: 1390_CR1 – volume: 80 start-page: 401 year: 2020 ident: 1390_CR19 publication-title: J Infect doi: 10.1016/j.jinf.2020.02.018 – volume: 323 start-page: 1239 year: 2020 ident: 1390_CR23 publication-title: JAMA doi: 10.1001/jama.2020.2648 – volume: 2019 start-page: 9 year: 2020 ident: 1390_CR7 publication-title: Int Urol Nephrol doi: 10.1007/s11255-020-02451-9 – volume: 58 start-page: 377 year: 2003 ident: 1390_CR13 publication-title: Thorax doi: 10.1136/thorax.58.5.377 – year: 2020 ident: 1390_CR5 publication-title: N Engl J Med doi: 10.1056/NEJMoa2002032 – volume: 109 start-page: 531 year: 2020 ident: 1390_CR11 publication-title: Clin Res Cardiol doi: 10.1007/s00392-020-01626-9 – volume: 395 start-page: 1225 year: 2020 ident: 1390_CR15 publication-title: Lancet doi: 10.1016/S0140-6736(20)30627-9 – volume: 147 start-page: 573 year: 2007 ident: 1390_CR20 publication-title: Ann Int Med doi: 10.7326/0003-4819-147-8-200710160-00010 – year: 2020 ident: 1390_CR4 publication-title: Intensive Care Med doi: 10.1007/s00134-020-06033-2 – volume: 382 start-page: 1194 year: 2020 ident: 1390_CR14 publication-title: N Engl J Med doi: 10.1056/NEJMp2002125 – ident: 1390_CR17 – volume: 92 start-page: 612 year: 2020 ident: 1390_CR18 publication-title: J Med Virol doi: 10.1002/jmv.25735 – ident: 1390_CR2 – volume: 25 start-page: 1 year: 2020 ident: 1390_CR3 publication-title: Eurosurveillance doi: 10.2807/1560-7917.ES.2020.25.6.2000110 – volume: 80 start-page: 394 year: 2020 ident: 1390_CR24 publication-title: J Infect doi: 10.1016/j.jinf.2020.02.017 – volume: 395 start-page: 497 year: 2020 ident: 1390_CR8 publication-title: Lancet doi: 10.1016/S0140-6736(20)30183-5 – volume: 2600 start-page: 1 year: 2020 ident: 1390_CR26 publication-title: Lancet Respir Med doi: 10.1016/S2213-2600(20)30079-5 – year: 2020 ident: 1390_CR16 publication-title: Travel Med Infect Dis doi: 10.1016/j.tmaid.2020.101623 – ident: 1390_CR22 – volume: 94 start-page: 91 year: 2020 ident: 1390_CR25 publication-title: Int J Infect Dis doi: 10.1016/j.ijid.2020.03.017
SSID	ssj0060801
Score	2.638478
SecondaryResourceType	review_article
Snippet	Objectives COVID-19 has a varied clinical presentation. Elderly patients with comorbidities are more vulnerable to severe disease. This study identifies... COVID-19 has a varied clinical presentation. Elderly patients with comorbidities are more vulnerable to severe disease. This study identifies specific symptoms... ObjectivesCOVID-19 has a varied clinical presentation. Elderly patients with comorbidities are more vulnerable to severe disease. This study identifies...
SourceID	pubmedcentral proquest pubmed crossref springer
SourceType	Open Access Repository Aggregation Database Index Database Enrichment Source Publisher
StartPage	533
SubjectTerms	Betacoronavirus Cardiovascular disease Cardiovascular Diseases - complications Chronic obstructive pulmonary disease Comorbidity Coronavirus Infections - complications Coronaviruses COVID-19 Critical Care Dyspnea Environmental Health Hospitalization Humans Hypertension Hypertension - complications Intensive care Intensive Care Units Medicine Medicine & Public Health Meta-analysis Occupational Medicine/Industrial Medicine Pandemics Pneumonia, Viral - complications Public Health Pulmonary Disease, Chronic Obstructive - complications Review SARS-CoV-2
Title	Predictive symptoms and comorbidities for severe COVID-19 and intensive care unit admission: a systematic review and meta-analysis
URI	https://link.springer.com/article/10.1007/s00038-020-01390-7 https://www.ncbi.nlm.nih.gov/pubmed/32451563 https://www.proquest.com/docview/2423819751 https://www.proquest.com/docview/2406950133 https://pubmed.ncbi.nlm.nih.gov/PMC7246302
Volume	65
WOSCitedRecordID	wos000535375100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 1661-8564 dateEnd: 20201231 omitProxy: false ssIdentifier: ssj0060801 issn: 1661-8556 databaseCode: RSV dateStart: 20070214 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Zb9QwEB71QAgJQSnXQqmMxBtYyibxkb5VhQoeaKsWqn2LfIqV2GyVZJF45Zczdo5qKSDBs8d2PBnPfPYcBnjl0EZyiSdVl2pLcyZyqn2mqZB4fPaKW-9tfGxCnJzI2aw465PCmiHafXBJRk09JrtFLxYNx50AWxIqNmEbzZ0M2_H84nLQvxwxUDxmoeWhkjHep8r8fox1c3QDY94MlfzFXxrN0PH9_1vADtzrYSc57OTkAWy4ahduf-wd67twt7u-I11W0kP4cVaHtqALSfN9cdUuFw1RlSU41bLWcxsLsRJEvARNq6sdOTq9_PCWTotINR8C40mILCMr1BtEWRSpcDd3QBS5LiBNuuSZ2G3hWkVVXyblEXw-fvfp6D3tn2ugBmFfS9VUM5XmGkGJViYVKs9UkZhUSVdI7Q3ieG6s51xz74RNvJOFU14Lo1HTaZM9hq1qWbmnQKzLOSuKXEgb8FwuXcJUlqQob4ZZLSYwHf5aafpa5uFJja_lWIU5MrtEZpeR2SX2eT32ueoqefyVem8QhrLf1U0ZsCciKMGmE3g5NiPzgpNFVW65CjQJLxiOkk3gSSc743QIXsPWwBaxJlUjQaj1vd5Szb_Emt8izTkyYAJvBtm6_qw_r-LZv5E_hztpFM9wybQHW229ci_glvnWzpt6HzbFTO7HvfYTpGUj_g
linkProvider	Springer Nature
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Zb9QwEB5BQYCEOMq1UMBIvFFL2cRXeEOFqhXtUkGp-hb5iliJzVZJFolXfjlj56iWAhI8e2zHk_HMZ89hgJcebaRQeFL1qXGUccmoKTNDpcLjc6mFK0sXH5uQs5k6Pc2P-qSwZoh2H1ySUVOPyW7Ri0XDcSfAloTKy3CFocUKgXwfP50M-lcgBorHLLQ8VHEu-lSZ34-xbo4uYMyLoZK_-EujGdq9_X8LuAO3ethJ3nRychcu-WoTrh32jvVNuNld35EuK-ke_DiqQ1vQhaT5vjhrl4uG6MoRnGpZm7mLhVgJIl6CptXXnux8ONl_S6d5pJoPgfEkRJaRFeoNoh2KVLibe000OS8gTbrkmdht4VtNdV8m5T583n13vLNH--caqEXY11I9NVynzCAoMdqmUrNM54lNtfK5MqVFHC-sK4UwovTSJaVXudelkdagpjM2ewAb1bLyj4A4zwTPcyaVC3iOKZ9wnSUpypvlzsgJTIe_Vti-lnl4UuNrMVZhjswukNlFZHaBfV6Nfc66Sh5_pd4ahKHod3VTBOyJCEry6QRejM3IvOBk0ZVfrgJNInKOo2QTeNjJzjgdgtewNbBFrknVSBBqfa-3VPMvsea3TJlABkxge5Ct88_68yoe_xv5c7i-d3x4UBzsz94_gRtpFNVw4bQFG2298k_hqv3Wzpv6WdxxPwF5cCX6
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3di9QwEB_0lEMQP86v1VMj-Kbhum2apL7JnYuHui6ox72VfOKC2126XcFX_3In6ce5ngricyZpO51kfpPJ_ALw1KGP5BIjVZdqS1kuGNU-01RIDJ-94tZ7Gy-bENOpPD0tZj9V8cfT7n1Ksq1pCCxNVXOwsv5gKHyLGS0aQp8AYRIqLsIlFi4NCvH6h5N-LeaIh2LIhV6IyjznXdnM78fYdk3n8Ob5Y5O_5E6jS5pc__-PuQHXOjhKXrb2cxMuuGoPdt91Cfc9uNpu65G2WukWfJ_VoS2skWT9bbFqlos1UZUl-Nhlrec2ErQSRMIEXa6rHTl8f3J8RMdFlJr3B-ZJOHFGNrieEGXR1MKe3QuiyBmxNGmLamK3hWsUVR19ym34NHn18fA17a5xoAbhYEPVWOcqZRrBilYmFYplqkhMqqQrpPYG8T031nOuuXfCJt7JwimvhdG4AmqT3YGdalm5e0CsYzwvCiakDTiPSZfkKktStEOTWy1GMO7_YGk6jvNw1caXcmBnjsouUdllVHaJfZ4NfVYtw8dfpfd7wyi72b4uAyZFZCXy8QieDM2ovJB8UZVbboJMwoscR8lGcLe1o-FxCGrDlMEWsWVhg0DgAN9uqeafIxe4SBlHBYzgeW9nZ6_156-4_2_ij2F3djQp3x5P3zyAK2m01LAPtQ87Tb1xD-Gy-drM1_WjOPl-AOW1Lt4
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Predictive+symptoms+and+comorbidities+for+severe+COVID-19+and+intensive+care+unit+admission%3A+a+systematic+review+and+meta-analysis&rft.jtitle=International+journal+of+public+health&rft.au=Jain%2C+Vageesh&rft.au=Yuan%2C+Jin-Min&rft.date=2020-06-01&rft.issn=1661-8556&rft.eissn=1661-8564&rft.volume=65&rft.issue=5&rft.spage=533&rft.epage=546&rft_id=info:doi/10.1007%2Fs00038-020-01390-7&rft.externalDBID=n%2Fa&rft.externalDocID=10_1007_s00038_020_01390_7
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1661-8556&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1661-8556&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1661-8556&client=summon