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1.
Br J Clin Pharmacol ; 87(12): 4839-4847, 2021 12.
Article in English | MEDLINE | ID: covidwho-1202066

ABSTRACT

The hypercoagulable state observed in COVID-19 could be responsible for morbidity and mortality. In this retrospective study we investigated whether therapeutic anticoagulation prior to infection has a beneficial effect in hospitalized COVID-19 patients. This study included 1154 COVID-19 patients admitted to 6 hospitals in the Netherlands between March and May 2020. We applied 1:3 propensity score matching to evaluate the association between prior therapeutic anticoagulation use and clinical outcome, with in hospital mortality as primary endpoint. In total, 190 (16%) patients used therapeutic anticoagulation prior to admission. In the propensity score matched analyses, we observed no associations between prior use of therapeutic anticoagulation and overall mortality (risk ratio 1.02 [95% confidence interval; 0.80-1.30]) or length of hospital stay (7.0 [4-12] vs. 7.0 [4-12] days, P = .69), although we observed a lower risk of pulmonary embolism (0.19 [0.05-0.80]). This study shows that prior use of therapeutic anticoagulation is not associated with improved clinical outcome in hospitalized COVID-19 patients.


Subject(s)
COVID-19 , Anticoagulants , Cohort Studies , Humans , Propensity Score , Retrospective Studies , SARS-CoV-2
2.
PLoS One ; 16(3): e0249231, 2021.
Article in English | MEDLINE | ID: covidwho-1154085

ABSTRACT

BACKGROUND: To date, survival data on risk factors for COVID-19 mortality in western Europe is limited, and none of the published survival studies have used a competing risk approach. This study aims to identify risk factors for in-hospital mortality in COVID-19 patients in the Netherlands, considering recovery as a competing risk. METHODS: In this observational multicenter cohort study we included adults with PCR-confirmed SARS-CoV-2 infection that were admitted to one of five hospitals in the Netherlands (March to May 2020). We performed a competing risk survival analysis, presenting cause-specific hazard ratios (HRCS) for the effect of preselected factors on the absolute risk of death and recovery. RESULTS: 1,006 patients were included (63.9% male; median age 69 years, IQR: 58-77). Patients were hospitalized for a median duration of 6 days (IQR: 3-13); 243 (24.6%) of them died, 689 (69.9%) recovered, and 74 (7.4%) were censored. Patients with higher age (HRCS 1.10, 95% CI 1.08-1.12), immunocompromised state (HRCS 1.46, 95% CI 1.08-1.98), who used anticoagulants or antiplatelet medication (HRCS 1.38, 95% CI 1.01-1.88), with higher modified early warning score (MEWS) (HRCS 1.09, 95% CI 1.01-1.18), and higher blood LDH at time of admission (HRCS 6.68, 95% CI 1.95-22.8) had increased risk of death, whereas fever (HRCS 0.70, 95% CI 0.52-0.95) decreased risk of death. We found no increased mortality risk in male patients, high BMI or diabetes. CONCLUSION: Our competing risk survival analysis confirms specific risk factors for COVID-19 mortality in a the Netherlands, which can be used for prediction research, more intense in-hospital monitoring or prioritizing particular patients for new treatments or vaccination.


Subject(s)
COVID-19/diagnosis , Hospital Mortality , Aged , Anticoagulants/therapeutic use , Body Mass Index , COVID-19/mortality , COVID-19/virology , Cohort Studies , Diabetes Complications , Female , Humans , Immunocompromised Host , L-Lactate Dehydrogenase/biosynthesis , Length of Stay , Male , Middle Aged , Netherlands , Proportional Hazards Models , RNA, Viral/analysis , Risk Factors , SARS-CoV-2/genetics , SARS-CoV-2/isolation & purification , Survival Analysis
3.
PLoS One ; 16(3): e0248713, 2021.
Article in English | MEDLINE | ID: covidwho-1140537

ABSTRACT

OBJECTIVE: To describe clinical characteristics, disease course and outcomes in a large and well-documented cohort of hospitalized COVID-19 patients in the Netherlands. METHODS: We conducted a multicentre retrospective cohort study in The Netherlands including 952 of 1183 consecutively hospitalized patients that were admitted to participating hospitals between March 2nd, 2020, and May 22nd, 2020. Clinical characteristics and laboratory parameters upon admission and during hospitalization were collected until July 1st. RESULTS: The median age was 69 years (IQR 58-77 years) and 605 (63.6%) were male. Cardiovascular disease was present in 558 (58.6%) patients. The median time of onset of symptoms prior to hospitalization was 7 days (IQR 5-10). A non ICU admission policy was applicable in 312 (32.8%) patients and in 165 (56.3%) of the severely ill patients admitted to the ward. At admission and during hospitalization, severely ill patients had higher values of CRP, LDH, ferritin and D-dimer with higher neutrophil counts and lower lymphocyte counts. Overall in-hospital mortality was 25.1% and 183 (19.1%) patients were admitted to ICU, of whom 56 (30.6%) died. Patients aged ≥70 years had high mortality, both at the ward (52.4%) and ICU (47.4%). The median length of ICU stay was 8 days longer in patients aged ≥70 years compared to patients aged ≤60 years. CONCLUSION: Hospitalized COVID-19 patients aged ≥70 years had high mortality and longer ICU stay compared to patients aged ≤60 years. These findings in combination with the patient burden of an ICU admission and possible long term complications after discharge should encourage us to further investigate the benefit of ICU admission in elderly and fragile COVID-19-patients.


Subject(s)
COVID-19/blood , COVID-19/epidemiology , Age Factors , Aged , COVID-19/diagnosis , Critical Illness/epidemiology , Female , Hospital Mortality , Hospitalization , Humans , Intensive Care Units , Length of Stay , Male , Middle Aged , Netherlands/epidemiology , Retrospective Studies , SARS-CoV-2/isolation & purification
4.
BMC Infect Dis ; 21(1): 199, 2021 Feb 22.
Article in English | MEDLINE | ID: covidwho-1094028

ABSTRACT

BACKGROUND: During the coronavirus disease 2019 (COVID-19) pandemic in the Netherlands it was noticed that very few blood cultures from COVID-19 patients turned positive with clinically relevant bacteria. This was particularly evident in comparison to the number of positive blood cultures during previous seasonal epidemics of influenza. This observation raised questions about the occurrence and causative microorganisms of bacteraemia in COVID-19 patients, especially in the perspective of the widely reported overuse of antibiotics and the rising rate of antibiotic resistance. METHODS: We conducted a retrospective cohort study on blood culture results in influenza A, influenza B and COVID-19 patients presenting to two hospitals in the Netherlands. Our main outcome consisted of the percentage of positive blood cultures. The percentage of clinically relevant blood cultures, isolated bacteria and 30-day all-cause mortality served as our secondary outcomes. RESULTS: A total of 1331 viral episodes were analysed in 1324 patients. There was no statistically significant difference (p = 0.47) in overall occurrence of blood culture positivity in COVID-19 patients (9.0, 95% CI 6.8-11.1) in comparison to influenza A (11.4, 95% CI 7.9-14.8) and influenza B patients (10.4, 95% CI 7.1-13.7,). After correcting for the high rate of contamination, the occurrence of clinically relevant bacteraemia in COVID-19 patients amounted to 1.0% (95% CI 0.3-1.8), which was statistically significantly lower (p = 0.04) compared to influenza A patients (4.0, 95% CI 1.9-6.1) and influenza B patients (3.0, 95% CI 1.2-4.9). The most frequently identified bacterial isolates in COVID-19 patients were Escherichia coli (n = 2) and Streptococcus pneumoniae (n = 2). The overall 30-day all-cause mortality for COVID-19 patients was 28.3% (95% CI 24.9-31.7), which was statistically significantly higher (p = <.001) when compared to patients with influenza A (7.1, 95% CI 4.3-9.9) and patients with influenza B (6.4, 95% CI 3.8-9.1). CONCLUSIONS: We report a very low occurrence of community-acquired bacteraemia amongst COVID-19 patients in comparison to influenza patients. These results reinforce current clinical guidelines on antibiotic management in COVID-19, which only advise utilization of antibiotics when a bacterial co-infection is suspected.


Subject(s)
Bacteremia/epidemiology , COVID-19/microbiology , Community-Acquired Infections/epidemiology , Influenza A virus , Influenza B virus , Influenza, Human/microbiology , SARS-CoV-2 , Adult , Aged , Aged, 80 and over , Anti-Bacterial Agents/therapeutic use , COVID-19/mortality , Female , Humans , Male , Middle Aged , Netherlands/epidemiology , Retrospective Studies
5.
Infect Dis (Lond) ; 53(2): 102-110, 2021 02.
Article in English | MEDLINE | ID: covidwho-1066202

ABSTRACT

BACKGROUND: Knowledge on bacterial co-infections in COVID-19 is crucial to use antibiotics appropriately. Therefore, we aimed to determine the incidence of bacterial co-infections, antibiotic use and application of antimicrobial stewardship principles in hospitalized patients with COVID-19. METHODS: We performed a retrospective observational study in four hospitals (1 university, 2 non-university teaching, 1 non-teaching hospital) in the Netherlands from March to May 2020 including consecutive patients with PCR-confirmed COVID-19. Data on first microbiological investigations obtained at the discretion of the physician and antibiotic use in the first week of hospital admission were collected. RESULTS: Twelve (1.2%) of the 925 patients included had a documented bacterial co-infection (75.0% pneumonia) within the first week. Microbiological testing was performed in 749 (81%) patients: sputum cultures in 105 (11.4%), blood cultures in 711 (76.9%), pneumococcal urinary antigen testing in 202 (21.8%), and Legionella urinary antigen testing in 199 (21.5%) patients, with clear variation between hospitals. On presentation 556 (60.1%; range 33.3-73.4%) patients received antibiotics for a median duration of 2 days (IQR 1-4). Intravenous to oral switch was performed in 41 of 413 (9.9%) patients who received intravenous treatment >48 h. Mean adherence to the local guideline on empiric antibiotic therapy on day 1 was on average 60.3% (range 45.3%-74.7%). CONCLUSIONS: On presentation to the hospital bacterial co-infections are rare, while empiric antibiotic use is abundant. This implies that in patients with COVID-19 empiric antibiotic should be withheld. This has the potential to dramatically reduce the current overuse of antibiotics in the COVID-19 pandemic.


Subject(s)
Anti-Bacterial Agents/administration & dosage , Bacterial Infections/drug therapy , Bacterial Infections/epidemiology , COVID-19/epidemiology , Pandemics , Prescription Drug Overuse/statistics & numerical data , Aged , Antimicrobial Stewardship , Bacterial Infections/microbiology , Blood Culture , COVID-19/virology , Coinfection , Drug Administration Routes , Drug Administration Schedule , Female , Guideline Adherence/statistics & numerical data , Hospitalization , Humans , Incidence , Male , Middle Aged , Netherlands/epidemiology , Prescription Drug Overuse/prevention & control , Retrospective Studies , SARS-CoV-2/pathogenicity
6.
J Infect Dis ; 223(8): 1322-1333, 2021 04 23.
Article in English | MEDLINE | ID: covidwho-1057852

ABSTRACT

The clinical spectrum of COVID-19 varies and the differences in host response characterizing this variation have not been fully elucidated. COVID-19 disease severity correlates with an excessive proinflammatory immune response and profound lymphopenia. Inflammatory responses according to disease severity were explored by plasma cytokine measurements and proteomics analysis in 147 COVID-19 patients. Furthermore, peripheral blood mononuclear cell cytokine production assays and whole blood flow cytometry were performed. Results confirm a hyperinflammatory innate immune state, while highlighting hepatocyte growth factor and stem cell factor as potential biomarkers for disease severity. Clustering analysis revealed no specific inflammatory endotypes in COVID-19 patients. Functional assays revealed abrogated adaptive cytokine production (interferon-γ, interleukin-17, and interleukin-22) and prominent T-cell exhaustion in critically ill patients, whereas innate immune responses were intact or hyperresponsive. Collectively, this extensive analysis provides a comprehensive insight into the pathobiology of severe to critical COVID-19 and highlights potential biomarkers of disease severity.


Subject(s)
Adaptive Immunity/immunology , COVID-19/immunology , Immunity, Innate/immunology , Aged , Biomarkers/blood , COVID-19/blood , COVID-19/virology , Cytokine Release Syndrome/blood , Cytokine Release Syndrome/immunology , Cytokine Release Syndrome/virology , Cytokines/immunology , Female , Humans , Inflammation/blood , Inflammation/immunology , Inflammation/virology , Leukocytes, Mononuclear/immunology , Leukocytes, Mononuclear/virology , Lymphopenia/blood , Lymphopenia/immunology , Lymphopenia/virology , Male , Middle Aged , SARS-CoV-2/immunology , Severity of Illness Index
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