Literature DB >> 32617649

Correction to: Phenotypic characteristics and prognosis of inpatients with COVID-19 and diabetes: the CORONADO study.

Bertrand Cariou1, Samy Hadjadj2, Matthieu Wargny3,4, Matthieu Pichelin3, Abdallah Al-Salameh5, Ingrid Allix6, Coralie Amadou7, Gwénaëlle Arnault8, Florence Baudoux9, Bernard Bauduceau10,11, Sophie Borot12, Muriel Bourgeon-Ghittori13, Olivier Bourron14, David Boutoille15, France Cazenave-Roblot16,17, Claude Chaumeil18, Emmanuel Cosson19,20, Sandrine Coudol4, Patrice Darmon21, Emmanuel Disse22, Amélie Ducet-Boiffard23, Bénédicte Gaborit24, Michael Joubert25, Véronique Kerlan26, Bruno Laviolle27, Lucien Marchand28, Laurent Meyer29, Louis Potier30, Gaëtan Prevost31, Jean-Pierre Riveline32,33,34, René Robert35, Pierre-Jean Saulnier36, Ariane Sultan37, Jean-François Thébaut18, Charles Thivolet38,39, Blandine Tramunt40, Camille Vatier41,42, Ronan Roussel30, Jean-François Gautier32,34, Pierre Gourdy40.   

Abstract

The authors regret a mistake in Table 1.

Entities:  

Year:  2020        PMID: 32617649      PMCID: PMC7330254          DOI: 10.1007/s00125-020-05207-3

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


Correction to: Diabetologia. 10.1007/s00125-020-05180-x The authors regret a mistake in Table 1. Contrary to the statement in footnote a (applicable to age, BMI and HbA1c), only BMI was standardised and thus the OR for HbA1c and age is expressed per 1 unit, not 1 SD. The table and footnote are corrected here.
Table 1

Clinical characteristics prior to admission of CORONADO participants, according to primary outcome (tracheal intubation and/or death within 7 days of admission), and death on day 7

Clinical featuresNumber of people with available dataAllPrimary outcome (n = 382)OR (95% CI)Death (n = 140)OR (95% CI)
Sex (female/male)1317462/1317 (35.1)0.77 (0.60, 0.99)0.80 (0.55, 1.17)
Age (years)131769.8 ± 13.01.00 (0.99, 1.01)1.09 (1.07, 1.11)
Age class (years)1317
  < 55159/1317 (12.1)11
 55–64266/1317 (20.2)0.58 (0.38, 0.90)1.00 (0.23, 4.23)
 65–74394/1317 (29.9)0.89 (0.60, 1.31)3.22 (0.95, 10.1)
  ≥ 75498/1317 (37.8)0.85 (0.58, 1.24)14.6 (4.56, 46.6)
Type of diabetes1317
 Type 21166/1317 (88.5)11
 Type 139/1317 (3.0)0.73 (0.35, 1.56)0.44 (0.11, 1.86)
 Other71/1317 (5.4)1.33 (0.80, 2.20)1.50 (0.77, 2.93)
 Diagnosed on admission41/1317 (3.1)0.79 (0.38, 1.63)
Ethnicity1035
 EU641/1035 (61.9)11
 MENA196/1035 (18.9)0.98 (0.69, 1.40)0.87 (0.52, 1.47)
 AC174/1035 (16.8)0.96 (0.66, 1.40)0.78 (0.44, 1.37)
 AS24/1035 (2.3)1.51 (0.65, 3.52)
BMI (kg/m2)111728.4 [25.0–32.7]1.25 (1.09, 1.42)0.95 (0.78, 1.16)
BMI class1117
  < 25 kg/m2279/1117 (25)11
 25–29.9 kg/m2410/1117 (36.7)1.33 (0.93, 1.89)0.70 (0.42, 1.16)
 30–39.9 kg/m2359/1117 (32.1)1.71 (1.20, 2.43)0.76 (0.45, 1.27)
  ≥ 40 kg/m269/1117 (6.2)1.28 (0.70, 2.32)0.74 (0.29, 1.84)
Diabetes duration (years)77213.6 ± 10.91.00 (0.98, 1.01)1.01 (0.99, 1.04)
HbA1c (mmol/mol)84665.4 ± 21.20.99 (0.99, 1.00)1.00 (0.99, 1.02)
HbA1c (%)8468.1 ± 1.90.94 (0.86, 1.03)1.02 (0.87, 1.19)
HbA1c (categories)846
  < 53 mmol/mol (7%)245/846 (29.0)11
 53–63 mmol/mol (7–7.9%)228/846 (27.0)0.84 (0.55, 1.27)1.55 (0.82, 2.93)
 64–74 mmol/mol (8–8.9%)164/846 (19.4)0.92 (0.59, 1.45)1.09 (0.52, 2.28)
  ≥ 75 mmol/mol (9%)209/846 (24.7)0.78 (0.51, 1.21)0.84 (0.40, 1.75)
Hypertension12991003/1299 (77.2)1.23 (0.92, 1.65)1.82 (1.11, 2.98)
Dyslipidaemia1255640/1255 (51.0)1.07 (0.84, 1.37)1.21 (0.84, 1.74)
Tobacco use1029
 Never582/1029 (56.6)11
 Former390/1029 (37.9)1.21 (0.91, 1.61)1.00 (0.64, 1.57)
 Current57/1029 (5.5)1.54 (0.87, 2.74)1.20 (0.49, 2.93)
Long, term diabetes complications
 Microvascular complications883413/883 (46.8)1.28 (0.94, 1.73)5.25 (3.03, 9.10)
 Severe diabetic retinopathy95466/954 (6.9)1.22 (0.71, 2.11)2.05 (1.03, 4.07)
 Diabetic kidney disease1066355/1066 (33.3)1.03 (0.78, 1.37)3.19 (2.09, 4.87)
 History of diabetic foot ulcer123276/1232 (6.2)0.67 (0.38, 1.18)1.53 (0.79, 2.99)
 Macrovascular complications1189485/1189 (40.8)1.18 (0.91, 1.52)3.58 (2.41, 5.31)
 Ischaemic heart disease (ACS/CAR)1251336/1251 (26.9)1.04 (0.79, 1.37)2.65 (1.84, 3.82)
 Cerebrovascular disease (stroke or TIA)1267163/1267 (12.9)1.02 (0.71, 1.47)2.19 (1.40, 3.42)
 Peripheral artery disease (major amputation/LLAR)1285145/1285 (11.3)0.91 (0.61, 1.34)1.97 (1.23, 3.17)
Comorbidities
 Heart failure1206140/1206 (11.6)0.78 (0.52, 1.17)2.28 (1.42, 3.66)
 NAFLD or liver cirrhosis1107119/1107 (10.7)1.23 (0.81, 1.86)0.70 (0.34, 1.41)
 Active cancer1282194/1282 (15.1)1.08 (0.77, 1.50)1.55 (0.99, 2.42)
 COPD1278133/1278 (10.4)0.96 (0.64, 1.43)1.36 (0.80, 2.32)
 Treated OSA1189144/1189 (12.1)1.44 (0.99, 2.08)1.81 (1.12, 2.93)
 Organ graft130238/1302 (2.9)1.14 (0.57, 2.28)0.46 (0.11, 1.93)
 End stage renal failure83160/831 (7.2)0.66 (0.35, 1.27)0.62 (0.24, 1.60)
Routine treatment before admission
 Metformin1317746/1317 (56.6)0.95 (0.75, 1.21)0.59 (0.42, 0.84)
 Sulfonylurea/glinides1317367/1317 (27.9)1.03 (0.79, 1.34)0.74 (0.49, 1.13)
 DPP-4 inhibitors1317285/1317 (21.6)1.01 (0.75, 1.34)0.85 (0.55, 1.32)
 GLP1-RA1317123/1317 (9.3)1.36 (0.92, 2.01)0.64 (0.32, 1.29)
 Insulin1317504/1317 (38.3)1.01 (0.79, 1.29)1.71 (1.20, 2.43)
 Loop diuretics1317252/1317 (19.1)1.10 (0.81, 1.48)2.49 (1.70, 3.64)
 Thiazide diuretics1317267/1317 (20.3)1.08 (0.81, 1.45)0.98 (0.63, 1.52)
 Potassium-sparing diuretics131759/1317 (4.5)1.17 (0.67, 2.05)1.77 (0.88, 3.58)
 MRA131753/1317 (4.0)0.96 (0.52, 1.78)2.03 (1.00, 4.13)
 β-blockers1317442/1317 (33.6)1.03 (0.80, 1.32)1.84 (1.29, 2.62)
 ACE inhibitors1317354/1317 (26.9)1.17 (0.90, 1.52)1.43 (0.99, 2.08)
 ARBs1317389/1317 (29.5)1.22 (0.94, 1.57)1.15 (0.79, 1.67)
 ARBs and/or ACE inhibitors1317737/1317 (56.0)1.32 (1.03, 1.68)1.58 (1.09, 2.28)
 ARBs and/or ACE inhibitors and/or MRA1317752/1317 (57.1)1.29 (1.01, 1.65)1.67 (1.15, 2.43)
 Statins1317627/1317 (47.6)1.03 (0.81, 1.31)1.19 (0.84, 1.68)

Data are presented as numbers (%) and mean ± SD, or median [25th–75th percentile] if not normally distributed

OR corresponds to an increase of 1 unit of any quantitative variable, except for BMI. BMI was natural log transformed before OR calculation, which corresponds to an increase of 1 SD

Ethnicity: EU (Europid), MENA (Middle East North Africa); AC (African or Caribbean), AS (Asian)

HbA1c corresponds to the HbA1c value determined in the 6 months prior to or in the first 7 days following hospital admission

Diabetic kidney disease defined as eGFR ≤60 ml min−1 [1.73 m]−2 and/or proteinuria

MRAs include spironolactone and eplerenone

ACS, acute coronary syndrome; CAR, coronary artery revascularisation; COPD, chronic obstructive pulmonary disease; GLP1-RA, glucagon-like peptide 1-receptor agonist; LLAR, lower limb artery revascularisation; NAFLD, non-alcoholic fatty liver disease; TIA, transient ischaemic attack

Clinical characteristics prior to admission of CORONADO participants, according to primary outcome (tracheal intubation and/or death within 7 days of admission), and death on day 7 Data are presented as numbers (%) and mean ± SD, or median [25th–75th percentile] if not normally distributed OR corresponds to an increase of 1 unit of any quantitative variable, except for BMI. BMI was natural log transformed before OR calculation, which corresponds to an increase of 1 SD Ethnicity: EU (Europid), MENA (Middle East North Africa); AC (African or Caribbean), AS (Asian) HbA1c corresponds to the HbA1c value determined in the 6 months prior to or in the first 7 days following hospital admission Diabetic kidney disease defined as eGFR ≤60 ml min−1 [1.73 m]−2 and/or proteinuria MRAs include spironolactone and eplerenone ACS, acute coronary syndrome; CAR, coronary artery revascularisation; COPD, chronic obstructive pulmonary disease; GLP1-RA, glucagon-like peptide 1-receptor agonist; LLAR, lower limb artery revascularisation; NAFLD, non-alcoholic fatty liver disease; TIA, transient ischaemic attack
  1 in total

1.  Association Between Anti-diabetic Agents and Clinical Outcomes of COVID-19 in Patients with Diabetes: A Systematic Review and Meta-Analysis.

Authors:  Tiantian Han; Shaodi Ma; Chenyu Sun; Huimei Zhang; Guangbo Qu; Yue Chen; Ce Cheng; Eric L Chen; Mubashir Ayaz Ahmed; Keun Young Kim; Raveena Manem; Mengshi Chen; Zhichun Guo; Hongru Yang; Yue Yan; Qin Zhou
Journal:  Arch Med Res       Date:  2021-08-09       Impact factor: 2.235

  1 in total

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