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2.
Respir Med ; 178: 106314, 2021 03.
Article in English | MEDLINE | ID: covidwho-1051931

ABSTRACT

BACKGROUND AND OBJECTIVES: Reports comparing the characteristics of patients and their clinical outcomes between community-acquired (CA) and hospital-acquired (HA) COVID-19 have not yet been reported in the literature. We aimed to characterise and compare clinical, biochemical and haematological features, in addition to clinical outcomes, between these patients. METHODS: This multi-centre, retrospective, observational study enrolled 488 SARS-CoV-2 positive patients - 339 with CA infection and 149 with HA infection. All patients were admitted to a hospital within the University Hospitals of Morecambe Bay NHS Foundation Trust between March 7th and May 18th, 2020. RESULTS: The CA cohort comprised of a significantly younger population, median age 75 years, versus 80 years in the HA cohort (P = 0·0002). Significantly less patients in the HA group experienced fever (P = 0·03) and breathlessness (P < 0·0001). Furthermore, significantly more patients had anaemia and hypoalbuminaemia in the HA group, compared to the CA group (P < 0·0001 for both). Hypertension and a lower median BMI were also significantly more pronounced in the HA cohort (P = 0·03 and P = 0·0001, respectively). The mortality rate was not significantly different between the two cohorts (34% in the CA group and 32% in the HA group, P = 0·64). However, the CA group required significantly greater ICU care (10% versus 3% in the HA group, P = 0·009). CONCLUSION: Hospital-acquired and community-acquired COVID-19 display similar rates of mortality despite significant differences in baseline characteristics of the respective patient populations. Delineation of community- and hospital-acquired COVID-19 in future studies on COVID-19 may allow for more accurate interpretation of results.


Subject(s)
COVID-19/complications , COVID-19/mortality , Community-Acquired Infections/complications , Community-Acquired Infections/mortality , Cross Infection/complications , Cross Infection/mortality , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/diagnosis , Community-Acquired Infections/diagnosis , Cross Infection/diagnosis , Female , Hospital Mortality , Hospitalization , Humans , Male , Middle Aged , Retrospective Studies , Survival Rate , Symptom Assessment , United Kingdom , Young Adult
3.
PLoS One ; 15(11): e0241541, 2020.
Article in English | MEDLINE | ID: covidwho-934329

ABSTRACT

BACKGROUND: Understanding the factors associated with disease severity and mortality in Coronavirus disease (COVID-19) is imperative to effectively triage patients. We performed a systematic review to determine the demographic, clinical, laboratory and radiological factors associated with severity and mortality in COVID-19. METHODS: We searched PubMed, Embase and WHO database for English language articles from inception until May 8, 2020. We included Observational studies with direct comparison of clinical characteristics between a) patients who died and those who survived or b) patients with severe disease and those without severe disease. Data extraction and quality assessment were performed by two authors independently. RESULTS: Among 15680 articles from the literature search, 109 articles were included in the analysis. The risk of mortality was higher in patients with increasing age, male gender (RR 1.45, 95%CI 1.23-1.71), dyspnea (RR 2.55, 95%CI 1.88-2.46), diabetes (RR 1.59, 95%CI 1.41-1.78), hypertension (RR 1.90, 95%CI 1.69-2.15). Congestive heart failure (OR 4.76, 95%CI 1.34-16.97), hilar lymphadenopathy (OR 8.34, 95%CI 2.57-27.08), bilateral lung involvement (OR 4.86, 95%CI 3.19-7.39) and reticular pattern (OR 5.54, 95%CI 1.24-24.67) were associated with severe disease. Clinically relevant cut-offs for leukocytosis(>10.0 x109/L), lymphopenia(< 1.1 x109/L), elevated C-reactive protein(>100mg/L), LDH(>250U/L) and D-dimer(>1mg/L) had higher odds of severe disease and greater risk of mortality. CONCLUSION: Knowledge of the factors associated of disease severity and mortality identified in our study may assist in clinical decision-making and critical-care resource allocation for patients with COVID-19.


Subject(s)
COVID-19/mortality , Severity of Illness Index , COVID-19/epidemiology , Humans
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