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1.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-307599

ABSTRACT

Preliminary results from the RECOVERY trial indicated that dexamethasone usage markedly reduced death rate in COVID-19 patients receiving invasive mechanical ventilation. However, the overall reduction for the entire patient cohort in that trial was much more modest, indicating highly variable effects of corticosteroid usage among COVID-19 patients. While steroid treatment is known to have both clinical efficacy and detrimental adverse-effects, defining a clinic parameter that could guide the beneficial corticosteroid usage for treating COVID-19 remains an elusive, urgent, and critical unmet need in COVID-19 therapy. Here, we undertook a multicentered retrospective study on a cohort of 12,862 confirmed COVID-19 cases from 21 hospitals in Hubei Province, China, including 3,254 received corticosteroid treatment and 9,608 received usual care without corticosteroid. We uncovered that the clinical benefits of corticosteroid use were closely associated with the neutrophil-to-lymphocyte ratio (NLR) measured at admission. Among participants with NLR > 6.12 at admission, corticosteroid treatment was significantly associated with a lower risk of 60-day all-cause mortality of COVID-19 based on both Cox model with time-varying exposure and Marginal Structural Model. However, in patients with NLR ≤ 6.12 at admission, corticosteroid treatment was no longer associated with reduced risk of all-cause death, but rather with increased risks of severe adverse effects, particularly in hyperglycemia and infection. In diabetic patients with COVID-19, corticosteroid treatment was associated with increased glycemia, but not with a higher risk of 60-day mortality. Therefore, our study has uncovered NLR as a clinical indicator to stratify COVID-19 patients in their response to corticosteroid therapy. This finding may assist clinical evaluation and future randomized controlled trials to establish proper guidelines for corticosteroid therapy in COVID-19 patients.

2.
Diabetes Metab Syndr Obes ; 14: 4469-4482, 2021.
Article in English | MEDLINE | ID: covidwho-1526719

ABSTRACT

PURPOSE: To analyze the impact of hyperglycemia on the clinical outcome of COVID-19 in patients with newly diagnosed diabetes (NDD). PATIENTS AND METHODS: We performed a retrospective study of 3114 cases of COVID-19 without pre-existing diabetes, 351 of which had NDD, in Hubei Province, China. The Cox regression model was used to calculate the risk of adverse clinical outcomes comparing the NDD vs non-NDD group before and after propensity score-matched (PSM) analysis. Patients with NDD were further divided into a sustained hyperglycemia group, a fluctuating group, and a remitted group based on their blood glucose levels during hospitalization as well as into hypoglycemic agent users and nonusers. RESULTS: Compared to the non-NDD individuals, individuals with NDD had a significantly increased risk of all-cause mortality (adjusted HR after PSM, 2.65; 95% CI, 1.49-4.72; P = 0.001) and secondary outcomes involving organ damage during the 28-day follow-up period. Subgroup analyses indicated that among individuals with NDD, the individuals with remitted hyperglycemia had the lowest 28-day mortality, whereas those with sustained hyperglycemia had the highest (IRR 24.27; 95% CI, 3.21-183.36; P < 0.001). Moreover, individuals treated with hypoglycemic agents had significantly lower all-cause mortality than those not treated with hypoglycemic agents (IRR 0.08; 95% CI, 0.01-0.56; P < 0.001). CONCLUSION: Our study reinforces the clinical message that NDD is strongly associated with poor outcomes in COVID-19 patients. Furthermore, resolved hyperglycemia in the later phase of the disease and the use of hypoglycemic agents were associated with improved prognosis in patients with NDD.

3.
J Infect Public Health ; 15(1): 13-20, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1517346

ABSTRACT

BACKGROUND: Coronavirus disease 2019 (COVID-19) pandemic continues to escalate intensively worldwide. Massive studies on general populations with SARS-CoV-2 infection have revealed that pre-existing comorbidities were a major risk factor for the poor prognosis of COVID-19. Notably, 49-75% of COVID-19 patients had no comorbidities, but this cohort would also progress to severe COVID-19 or even death. However, risk factors contributing to disease progression and death in patients without chronic comorbidities are largely unknown; thus, specific clinical interventions for those patients are challenging. METHODS: A multicenter, retrospective study based on 4806 COVID-19 patients without chronic comorbidities was performed to identify potential risk factors contributing to COVID-19 progression and death using LASSO and a stepwise logistic regression model. RESULTS: Among 4806 patients without pre-existing comorbidities, the proportions with severe progression and mortality were 34.29% and 2.10%, respectively. The median age was 47.00 years [interquartile range, 36.00-56.00], and 2162 (44.99%) were men. Among 51 clinical parameters on admission, age ≥ 47, oxygen saturation < 95%, increased lactate dehydrogenase, neutrophil count, direct bilirubin, creatine phosphokinase, blood urea nitrogen levels, dyspnea, increased blood glucose and prothrombin time levels were associated with COVID-19 mortality in the entire cohort. Of the 3647 patients diagnosed with non-severe COVID-19 on admission, 489(13.41%) progressed to severe disease. The risk factors associated with COVID-19 progression from non-severe to severe illness were increased procalcitonin levels, SpO2 < 95%, age ≥ 47, increased LDH, activated partial thromboplastin time levels, decreased high-density lipoprotein cholesterol levels, dyspnea and increased D-dimer levels. CONCLUSIONS: COVID-19 patients without pre-existing chronic comorbidities have specific traits and disease patterns. COVID-19 accompanied by severe bacterial infections, as indicated by increased procalcitonin levels, was highly associated with disease progression from non-severe to severe. Aging, impaired respiratory function, coagulation dysfunction, tissue injury, and lipid metabolism dysregulation were also associated with disease progression. Once factors for multi-organ damage were elevated and glucose increased at admission, these findings indicated a higher risk for mortality. This study provides information that helps to predict COVID-19 prognosis specifically in patients without chronic comorbidities.


Subject(s)
COVID-19 , Humans , Male , Middle Aged , Retrospective Studies , Risk Factors , SARS-CoV-2
4.
Chin Med Sci J ; 36(1): 17-26, 2021 Mar 31.
Article in English | MEDLINE | ID: covidwho-1187236

ABSTRACT

Objective This study aimed to determine the association of hyperlipidemia with clinical endpoints among hospitalized patients with COVID-19, especially those with pre-existing cardiovascular diseases (CVDs) and diabetes. Methods This multicenter retrospective cohort study included all patients who were hospitalized due to COVID-19 from 21 hospitals in Hubei province, China between December 31, 2019 and April 21, 2020. Patients who were aged < 18 or ≥ 85 years old, in pregnancy, with acute lethal organ injury (e.g., acute myocardial infarction, severe acute pancreatitis, acute stroke), hypothyroidism, malignant diseases, severe malnutrition, and those with normal lipid profile under lipid-lowering medicines (e.g., statin, niacin, fenofibrate, gemfibrozil, and ezetimibe) were excluded. Propensity score matching (PSM) analysis at 1:1 ratio was performed to minimize baseline differences between patient groups of hyperlipidemia and non-hyperlipidemia. PSM analyses with the same strategies were further conducted for the parameters of hyperlipidemia in patients with increased triglyceride (TG), increased low-density lipoprotein cholesterol (LDL-C), and decreased high-density lipoprotein cholesterol (HDL-C). Mixed-effect Cox model analysis was performed to investigate the associations of the 28-days all-cause deaths of COVID-19 patients with hyperlipidemia and the abnormalities of lipid parameters. The results were verified in male, female patients, and in patients with pre-existing CVDs and type 2 diabetes. Results Of 10 945 inpatients confirmed as COVID-19, there were 9822 inpatients included in the study, comprising 3513 (35.8%) cases without hyperlipidemia and 6309 (64.2%) cases with hyperlipidemia. Based on a mixed-effect Cox model after PSM at 1:1 ratio, hyperlipidemia was not associated with increased or decreased 28-day all-cause death [adjusted hazard ratio (HR), 1.17 (95% CI, 0.95-1.44), P =0.151]. We found that the parameters of hyperlipidemia were not associated with the risk of 28-day all-cause mortality [adjusted HR, 1.23 (95% CI, 0.98-1.55), P = 0.075 in TG increase group; 0.78 (95% CI, 0.57-1.07), P = 0.123 in LDL-C increase group; and 1.12 (95% CI, 0.9-1.39), P = 0.299 in HDL-C decrease group, respectively]. Hyperlipidemia was also not significantly associated with the increased mortality of COVID-19 in patients accompanied with CVDs or type 2 diabetes, and in both male and female cohorts. Conclusion Our study support that the imbalanced lipid profile is not significantly associated with the 28-day all-cause mortality of COVID-19 patients, even in those accompanied with CVDs or diabetes. Similar results were also obtained in subgroup analyses of abnormal lipid parameters. Therefore, hyperlipidemia might be not a major causative factor for poor outcome of COVID-19, which provides guidance for the intervention of inpatients during the epidemic of COVID-19.


Subject(s)
COVID-19/mortality , Hyperlipidemias/complications , Adult , Aged , Aged, 80 and over , COVID-19/complications , COVID-19/therapy , Cardiovascular Diseases/complications , Case-Control Studies , Cause of Death , China/epidemiology , Diabetes Mellitus, Type 2/complications , Female , Hospitalization , Humans , Male , Middle Aged , Propensity Score , Proportional Hazards Models , Retrospective Studies , Risk Factors
5.
Curr Med Res Opin ; 37(6): 917-927, 2021 06.
Article in English | MEDLINE | ID: covidwho-1137872

ABSTRACT

BACKGROUND: To develop a sensitive and clinically applicable risk assessment tool identifying coronavirus disease 2019 (COVID-19) patients with a high risk of mortality at hospital admission. This model would assist frontline clinicians in optimizing medical treatment with limited resources. METHODS: 6415 patients from seven hospitals in Wuhan city were assigned to the training and testing cohorts. A total of 6351 patients from another three hospitals in Wuhan, 2169 patients from outside of Wuhan, and 553 patients from Milan, Italy were assigned to three independent validation cohorts. A total of 64 candidate clinical variables at hospital admission were analyzed by random forest and least absolute shrinkage and selection operator (LASSO) analyses. RESULTS: Eight factors, namely, Oxygen saturation, blood Urea nitrogen, Respiratory rate, admission before the date the national Maximum number of daily new cases was reached, Age, Procalcitonin, C-reactive protein (CRP), and absolute Neutrophil counts, were identified as having significant associations with mortality in COVID-19 patients. A composite score based on these eight risk factors, termed the OURMAPCN-score, predicted the risk of mortality among the COVID-19 patients, with a C-statistic of 0.92 (95% confidence interval [CI] 0.90-0.93). The hazard ratio for all-cause mortality between patients with OURMAPCN-score >11 compared with those with scores ≤ 11 was 18.18 (95% CI 13.93-23.71; p < .0001). The predictive performance, specificity, and sensitivity of the score were validated in three independent cohorts. CONCLUSIONS: The OURMAPCN score is a risk assessment tool to determine the mortality rate in COVID-19 patients based on a limited number of baseline parameters. This tool can assist physicians in optimizing the clinical management of COVID-19 patients with limited hospital resources.


Subject(s)
COVID-19 , Risk Assessment/methods , COVID-19/epidemiology , COVID-19/mortality , China , Hospitalization/statistics & numerical data , Humans , Italy , Risk Factors
6.
Hepatology ; 73(1): 470-471, 2021 01.
Article in English | MEDLINE | ID: covidwho-1098892

Subject(s)
COVID-19 , Humans , Liver , SARS-CoV-2
7.
Cell Metab ; 33(2): 258-269.e3, 2021 02 02.
Article in English | MEDLINE | ID: covidwho-1064967

ABSTRACT

Corticosteroid therapy is now recommended as a treatment in patients with severe COVID-19. But one key question is how to objectively identify severely ill patients who may benefit from such therapy. Here, we assigned 12,862 COVID-19 cases from 21 hospitals in Hubei Province equally to a training and a validation cohort. We found that a neutrophil-to-lymphocyte ratio (NLR) > 6.11 at admission discriminated a higher risk for mortality. Importantly, however, corticosteroid treatment in such individuals was associated with a lower risk of 60-day all-cause mortality. Conversely, in individuals with an NLR ≤ 6.11 or with type 2 diabetes, corticosteroid treatment was not associated with reduced mortality, but rather increased risks of hyperglycemia and infections. These results show that in the studied cohort corticosteroid treatment is associated with beneficial outcomes in a subset of COVID-19 patients who are non-diabetic and with severe symptoms as defined by NLR.


Subject(s)
Adrenal Cortex Hormones/therapeutic use , COVID-19/drug therapy , Lymphocytes/cytology , Neutrophils/cytology , Adrenal Cortex Hormones/adverse effects , Area Under Curve , COVID-19/mortality , COVID-19/pathology , COVID-19/virology , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/pathology , Humans , Hyperglycemia/complications , Hyperglycemia/pathology , Length of Stay , Proportional Hazards Models , ROC Curve , Risk Factors , SARS-CoV-2/isolation & purification , Severity of Illness Index , Survival Rate , Treatment Outcome
8.
Med (N Y) ; 2(4): 435-447.e4, 2021 04 09.
Article in English | MEDLINE | ID: covidwho-1057073

ABSTRACT

BACKGROUND: To develop a sensitive risk score predicting the risk of mortality in patients with coronavirus disease 2019 (COVID-19) using complete blood count (CBC). METHODS: We performed a retrospective cohort study from a total of 13,138 inpatients with COVID-19 in Hubei, China, and Milan, Italy. Among them, 9,810 patients with ≥2 CBC records from Hubei were assigned to the training cohort. CBC parameters were analyzed as potential predictors for all-cause mortality and were selected by the generalized linear mixed model (GLMM). FINDINGS: Five risk factors were derived to construct a composite score (PAWNN score) using the Cox regression model, including platelet counts, age, white blood cell counts, neutrophil counts, and neutrophil:lymphocyte ratio. The PAWNN score showed good accuracy for predicting mortality in 10-fold cross-validation (AUROCs 0.92-0.93) and subsets with different quartile intervals of follow-up and preexisting diseases. The performance of the score was further validated in 2,949 patients with only 1 CBC record from the Hubei cohort (AUROC 0.97) and 227 patients from the Italian cohort (AUROC 0.80). The latent Markov model (LMM) demonstrated that the PAWNN score has good prediction power for transition probabilities between different latent conditions. CONCLUSIONS: The PAWNN score is a simple and accurate risk assessment tool that can predict the mortality for COVID-19 patients during their entire hospitalization. This tool can assist clinicians in prioritizing medical treatment of COVID-19 patients. FUNDING: This work was supported by National Key R&D Program of China (2016YFF0101504, 2016YFF0101505, 2020YFC2004702, 2020YFC0845500), the Key R&D Program of Guangdong Province (2020B1111330003), and the medical flight plan of Wuhan University (TFJH2018006).


Subject(s)
COVID-19 , Blood Cell Count , Hospital Mortality , Humans , Prognosis , Retrospective Studies , Risk Factors , SARS-CoV-2
9.
Hypertension ; 76(4): 1104-1112, 2020 10.
Article in English | MEDLINE | ID: covidwho-992137

ABSTRACT

The prognostic power of circulating cardiac biomarkers, their utility, and pattern of release in coronavirus disease 2019 (COVID-19) patients have not been clearly defined. In this multicentered retrospective study, we enrolled 3219 patients with diagnosed COVID-19 admitted to 9 hospitals from December 31, 2019 to March 4, 2020, to estimate the associations and prognostic power of circulating cardiac injury markers with the poor outcomes of COVID-19. In the mixed-effects Cox model, after adjusting for age, sex, and comorbidities, the adjusted hazard ratio of 28-day mortality for hs-cTnI (high-sensitivity cardiac troponin I) was 7.12 ([95% CI, 4.60-11.03] P<0.001), (NT-pro)BNP (N-terminal pro-B-type natriuretic peptide or brain natriuretic peptide) was 5.11 ([95% CI, 3.50-7.47] P<0.001), CK (creatine phosphokinase)-MB was 4.86 ([95% CI, 3.33-7.09] P<0.001), MYO (myoglobin) was 4.50 ([95% CI, 3.18-6.36] P<0.001), and CK was 3.56 ([95% CI, 2.53-5.02] P<0.001). The cutoffs of those cardiac biomarkers for effective prognosis of 28-day mortality of COVID-19 were found to be much lower than for regular heart disease at about 19%-50% of the currently recommended thresholds. Patients with elevated cardiac injury markers above the newly established cutoffs were associated with significantly increased risk of COVID-19 death. In conclusion, cardiac biomarker elevations are significantly associated with 28-day death in patients with COVID-19. The prognostic cutoff values of these biomarkers might be much lower than the current reference standards. These findings can assist in better management of COVID-19 patients to improve outcomes. Importantly, the newly established cutoff levels of COVID-19-associated cardiac biomarkers may serve as useful criteria for the future prospective studies and clinical trials.


Subject(s)
Coronavirus Infections , Creatine Kinase, MB Form/blood , Heart Diseases , Natriuretic Peptide, Brain/blood , Pandemics , Peptide Fragments/blood , Pneumonia, Viral , Troponin I/blood , Betacoronavirus/isolation & purification , Biomarkers/blood , COVID-19 , China/epidemiology , Coronavirus Infections/blood , Coronavirus Infections/mortality , Coronavirus Infections/therapy , Female , Heart Diseases/blood , Heart Diseases/mortality , Heart Diseases/virology , Hospitalization/statistics & numerical data , Humans , Male , Middle Aged , Mortality , Outcome Assessment, Health Care , Pneumonia, Viral/blood , Pneumonia, Viral/mortality , Pneumonia, Viral/therapy , Predictive Value of Tests , Prognosis , Retrospective Studies , SARS-CoV-2
10.
Med (N Y) ; 2(1): 38-48.e2, 2021 01 15.
Article in English | MEDLINE | ID: covidwho-813759

ABSTRACT

BACKGROUND: The coronavirus disease 2019 (COVID-19) is a recently emerged respiratory infectious disease with kidney injury as a part of the clinical complications. However, the dynamic change of kidney function and its association with COVID-19 prognosis are largely unknown. METHODS: In this multicenter retrospective cohort study, we analyzed clinical characteristics, medical history, laboratory tests, and treatment data of 12,413 COVID-19 patients. The patient cohort was stratified according to the severity of the outcome into three groups: non-severe, severe, and death. FINDINGS: The prevalence of elevated blood urea nitrogen (BUN), elevated serum creatinine (Scr), and decreased blood uric acid (BUA) at admission was 6.29%, 5.22%, and 11.66%, respectively. The trajectories showed the elevation in BUN and Scr levels, as well as a reduction in BUA level for 28 days after admission in death cases. Increased all-cause mortality risk was associated with elevated baseline levels of BUN and Scr and decreased levels of BUA. CONCLUSIONS: The dynamic changes of the three kidney function markers were associated with different severity and poor prognosis of COVID-19 patients. BUN showed a close association with and high potential for predicting adverse outcomes in COVID-19 patients for severity stratification and triage. FUNDING: This study was supported by grants from the National Key R&D Program of China (2016YFF0101504), the National Science Foundation of China (81630011, 81970364, 81970070, 81970011, 81870171, and 81700356), the Major Research Plan of the National Natural Science Foundation of China (91639304), the Hubei Science and Technology Support Project (2019BFC582, 2018BEC473, and 2017BEC001), and the Medical Flight Plan of Wuhan University.


Subject(s)
Acute Kidney Injury , COVID-19 , Acute Kidney Injury/diagnosis , COVID-19/epidemiology , Female , Humans , Kidney , Male , Retrospective Studies , SARS-CoV-2
11.
Cell Metab ; 32(4): 537-547.e3, 2020 10 06.
Article in English | MEDLINE | ID: covidwho-741151

ABSTRACT

The safety and efficacy of anti-diabetic drugs are critical for maximizing the beneficial impacts of well-controlled blood glucose on the prognosis of individuals with COVID-19 and pre-existing type 2 diabetes (T2D). Metformin is the most commonly prescribed first-line medication for T2D, but its impact on the outcomes of individuals with COVID-19 and T2D remains to be clarified. Our current retrospective study in a cohort of 1,213 hospitalized individuals with COVID-19 and pre-existing T2D indicated that metformin use was significantly associated with a higher incidence of acidosis, particularly in cases with severe COVID-19, but not with 28-day COVID-19-related mortality. Furthermore, metformin use was significantly associated with reduced heart failure and inflammation. Our findings provide clinical evidence in support of continuing metformin treatment in individuals with COVID-19 and pre-existing T2D, but acidosis and kidney function should be carefully monitored in individuals with severe COVID-19.


Subject(s)
Acidosis/chemically induced , Coronavirus Infections/complications , Diabetes Mellitus, Type 2/complications , Metformin/adverse effects , Pneumonia, Viral/complications , Acidosis, Lactic/chemically induced , Aged , COVID-19 , China/epidemiology , Coronavirus Infections/mortality , Coronavirus Infections/physiopathology , Diabetes Mellitus, Type 2/drug therapy , Female , Hospitalization , Humans , Kidney/physiopathology , Male , Middle Aged , Pandemics , Pneumonia, Viral/mortality , Pneumonia, Viral/physiopathology , Retrospective Studies
12.
Cell Metab ; 32(2): 176-187.e4, 2020 08 04.
Article in English | MEDLINE | ID: covidwho-612919

ABSTRACT

Statins are lipid-lowering therapeutics with favorable anti-inflammatory profiles and have been proposed as an adjunct therapy for COVID-19. However, statins may increase the risk of SARS-CoV-2 viral entry by inducing ACE2 expression. Here, we performed a retrospective study on 13,981 patients with COVID-19 in Hubei Province, China, among which 1,219 received statins. Based on a mixed-effect Cox model after propensity score-matching, we found that the risk for 28-day all-cause mortality was 5.2% and 9.4% in the matched statin and non-statin groups, respectively, with an adjusted hazard ratio of 0.58. The statin use-associated lower risk of mortality was also observed in the Cox time-varying model and marginal structural model analysis. These results give support for the completion of ongoing prospective studies and randomized controlled trials involving statin treatment for COVID-19, which are needed to further validate the utility of this class of drugs to combat the mortality of this pandemic.


Subject(s)
Angiotensin-Converting Enzyme Inhibitors/therapeutic use , Antihypertensive Agents/therapeutic use , Coronavirus Infections/drug therapy , Drug Repositioning/methods , Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Pneumonia, Viral/drug therapy , Aged , Angiotensin-Converting Enzyme 2 , Betacoronavirus/drug effects , COVID-19 , Comorbidity , Coronavirus Infections/mortality , Cytokine Release Syndrome/drug therapy , Drug Therapy, Combination , Female , Humans , Hypertension/drug therapy , Male , Middle Aged , Pandemics , Peptidyl-Dipeptidase A/drug effects , Pneumonia, Viral/mortality , Retrospective Studies , SARS-CoV-2
14.
Hepatology ; 72(2): 389-398, 2020 08.
Article in English | MEDLINE | ID: covidwho-155329

ABSTRACT

BACKGROUND AND AIMS: Coronavirus disease 2019 (COVID-19) is a new infectious disease. To reveal the hepatic injury related to this disease and its clinical significance, we conducted a multicenter retrospective cohort study that included 5,771 adult patients with COVID-19 pneumonia in Hubei Province. APPROACH AND RESULTS: We reported the distributional and temporal patterns of liver injury indicators in these patients and determined their associated factors and death risk. Longitudinal liver function tests were retrospectively analyzed and correlated with the risk factors and death. Liver injury dynamic patterns differed in alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), and total bilirubin (TBIL). AST elevated first, followed by ALT, in severe patients. ALP modestly increased during hospitalization and largely remained in the normal range. The fluctuation in TBIL levels was mild in the non-severe and the severe groups. AST abnormality was associated with the highest mortality risk compared with the other indicators of liver injury during hospitalization. Common factors associated with elevated liver injury indicators were lymphocyte count decrease, neutrophil count increase, and male gender. CONCLUSION: The dynamic patterns of liver injury indicators and their potential risk factors may provide an important explanation for the COVID-19-associated liver injury. Because elevated liver injury indicators, particularly AST, are strongly associated with the mortality risk, our study indicates that these parameters should be monitored during hospitalization.


Subject(s)
Betacoronavirus , Coronavirus Infections/mortality , Coronavirus Infections/physiopathology , Liver/physiopathology , Pneumonia, Viral/mortality , Pneumonia, Viral/physiopathology , Adult , Aged , Alanine Transaminase/blood , Alkaline Phosphatase/blood , Aspartate Aminotransferases/blood , Bilirubin/blood , Biomarkers , COVID-19 , Female , Humans , Longitudinal Studies , Male , Middle Aged , Pandemics , Retrospective Studies , SARS-CoV-2
15.
Cell Metab ; 31(6): 1068-1077.e3, 2020 06 02.
Article in English | MEDLINE | ID: covidwho-144092

ABSTRACT

Type 2 diabetes (T2D) is a major comorbidity of COVID-19. However, the impact of blood glucose (BG) control on the degree of required medical interventions and on mortality in patients with COVID-19 and T2D remains uncertain. Thus, we performed a retrospective, multi-centered study of 7,337 cases of COVID-19 in Hubei Province, China, among which 952 had pre-existing T2D. We found that subjects with T2D required more medical interventions and had a significantly higher mortality (7.8% versus 2.7%; adjusted hazard ratio [HR], 1.49) and multiple organ injury than the non-diabetic individuals. Further, we found that well-controlled BG (glycemic variability within 3.9 to 10.0 mmol/L) was associated with markedly lower mortality compared to individuals with poorly controlled BG (upper limit of glycemic variability exceeding 10.0 mmol/L) (adjusted HR, 0.14) during hospitalization. These findings provide clinical evidence correlating improved glycemic control with better outcomes in patients with COVID-19 and pre-existing T2D.


Subject(s)
Blood Glucose/analysis , Coronavirus Infections/mortality , Diabetes Mellitus, Type 2/blood , Glycemic Index/physiology , Hyperglycemia/blood , Pneumonia, Viral/mortality , Aged , Betacoronavirus/pathogenicity , COVID-19 , Coronavirus Infections/complications , Coronavirus Infections/pathology , Diabetes Mellitus, Type 2/complications , Disease Susceptibility/pathology , Female , Hospitalization/statistics & numerical data , Humans , Hyperglycemia/complications , Hypoglycemic Agents/therapeutic use , Longitudinal Studies , Male , Middle Aged , Multiple Organ Failure/complications , Multiple Organ Failure/mortality , Pandemics , Pneumonia, Viral/complications , Pneumonia, Viral/pathology , Retrospective Studies , SARS-CoV-2
16.
Circ Res ; 126(12): 1671-1681, 2020 06 05.
Article in English | MEDLINE | ID: covidwho-72368

ABSTRACT

RATIONALE: Use of ACEIs (angiotensin-converting enzyme inhibitors) and ARBs (angiotensin II receptor blockers) is a major concern for clinicians treating coronavirus disease 2019 (COVID-19) in patients with hypertension. OBJECTIVE: To determine the association between in-hospital use of ACEI/ARB and all-cause mortality in patients with hypertension and hospitalized due to COVID-19. METHODS AND RESULTS: This retrospective, multi-center study included 1128 adult patients with hypertension diagnosed with COVID-19, including 188 taking ACEI/ARB (ACEI/ARB group; median age 64 [interquartile range, 55-68] years; 53.2% men) and 940 without using ACEI/ARB (non-ACEI/ARB group; median age 64 [interquartile range 57-69]; 53.5% men), who were admitted to 9 hospitals in Hubei Province, China from December 31, 2019 to February 20, 2020. In mixed-effect Cox model treating site as a random effect, after adjusting for age, gender, comorbidities, and in-hospital medications, the detected risk for all-cause mortality was lower in the ACEI/ARB group versus the non-ACEI/ARB group (adjusted hazard ratio, 0.42 [95% CI, 0.19-0.92]; P=0.03). In a propensity score-matched analysis followed by adjusting imbalanced variables in mixed-effect Cox model, the results consistently demonstrated lower risk of COVID-19 mortality in patients who received ACEI/ARB versus those who did not receive ACEI/ARB (adjusted hazard ratio, 0.37 [95% CI, 0.15-0.89]; P=0.03). Further subgroup propensity score-matched analysis indicated that, compared with use of other antihypertensive drugs, ACEI/ARB was also associated with decreased mortality (adjusted hazard ratio, 0.30 [95% CI, 0.12-0.70]; P=0.01) in patients with COVID-19 and coexisting hypertension. CONCLUSIONS: Among hospitalized patients with COVID-19 and coexisting hypertension, inpatient use of ACEI/ARB was associated with lower risk of all-cause mortality compared with ACEI/ARB nonusers. While study interpretation needs to consider the potential for residual confounders, it is unlikely that in-hospital use of ACEI/ARB was associated with an increased mortality risk.


Subject(s)
Angiotensin Receptor Antagonists/adverse effects , Angiotensin-Converting Enzyme Inhibitors/adverse effects , Coronavirus Infections/epidemiology , Hospital Mortality , Hypertension/epidemiology , Pneumonia, Viral/epidemiology , Aged , Angiotensin Receptor Antagonists/therapeutic use , Angiotensin-Converting Enzyme Inhibitors/therapeutic use , COVID-19 , Coronavirus Infections/complications , Female , Humans , Hypertension/complications , Hypertension/drug therapy , Inpatients/statistics & numerical data , Male , Middle Aged , Pandemics , Pneumonia, Viral/complications
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