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1.
J Public Health (Oxf) ; 44(1): e126-e132, 2022 03 07.
Article in English | MEDLINE | ID: covidwho-1371743

ABSTRACT

BACKGROUND: Knife-related violence is of growing concern in the UK. This study aims to investigate the impact of the COVID-19 pandemic on the frequency of penetrating injuries at a UK major trauma centre. METHODS: This was a retrospective study comparing the number of patients attending the emergency department of King's College Hospital (KCH) with a penetrating injury (gunshot or stab wound) during the 'pandemic year' (1 March 2020-28 February 2021) compared with the equivalent time period in the previous year. Penetrating injuries as a result of self-harm were excluded. The primary outcome was to assess whether there were any changes to the frequency of presentations during three periods of national lockdowns. RESULTS: Lockdown 1 showed a 48.45% reduction in presentations in the 'pandemic year' compared to the previous year, lockdown 2 showed a 31.25% reduction; however, lockdown 3 showed an 8.89% increase in the number of presentations. CONCLUSION: Our findings suggest that despite the initial reduction in the number of presentations of penetrating injury during lockdown 1, this returned to normal levels by lockdown 3. Further research is required to understand the effects of government-imposed restrictions on interpersonal violence and identify appropriate methods of outreach prevention during a pandemic.


Subject(s)
COVID-19 , Pandemics , COVID-19/epidemiology , Communicable Disease Control , Humans , Retrospective Studies , SARS-CoV-2 , Trauma Centers , United Kingdom/epidemiology
2.
Lancet Respir Med ; 9(10): 1130-1140, 2021 10.
Article in English | MEDLINE | ID: covidwho-1305334

ABSTRACT

BACKGROUND: The antibacterial, anti-inflammatory, and antiviral properties of azithromycin suggest therapeutic potential against COVID-19. Randomised data in mild-to-moderate disease are not available. We assessed whether azithromycin is effective in reducing hospital admission in patients with mild-to-moderate COVID-19. METHODS: This prospective, open-label, randomised superiority trial was done at 19 hospitals in the UK. We enrolled adults aged at least 18 years presenting to hospitals with clinically diagnosed, highly probable or confirmed COVID-19 infection, with fewer than 14 days of symptoms, who were considered suitable for initial ambulatory management. Patients were randomly assigned (1:1) to azithromycin (500 mg once daily orally for 14 days) plus standard care or to standard care alone. The primary outcome was death or hospital admission from any cause over the 28 days from randomisation. The primary and safety outcomes were assessed according to the intention-to-treat principle. This trial is registered at ClinicalTrials.gov (NCT04381962) and recruitment is closed. FINDINGS: 298 participants were enrolled from June 3, 2020, to Jan 29, 2021. Three participants withdrew consent and requested removal of all data, and three further participants withdrew consent after randomisation, thus, the primary outcome was assessed in 292 participants (145 in the azithromycin group and 147 in the standard care group). The mean age of the participants was 45·9 years (SD 14·9). 15 (10%) participants in the azithromycin group and 17 (12%) in the standard care group were admitted to hospital or died during the study (adjusted OR 0·91 [95% CI 0·43-1·92], p=0·80). No serious adverse events were reported. INTERPRETATION: In patients with mild-to-moderate COVID-19 managed without hospital admission, adding azithromycin to standard care treatment did not reduce the risk of subsequent hospital admission or death. Our findings do not support the use of azithromycin in patients with mild-to-moderate COVID-19. FUNDING: National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford and Pfizer.


Subject(s)
Anti-Infective Agents/therapeutic use , Azithromycin/therapeutic use , COVID-19 Drug Treatment , Patient Admission/statistics & numerical data , Adult , COVID-19/virology , Female , Humans , Male , Middle Aged , Prospective Studies , SARS-CoV-2 , Standard of Care/statistics & numerical data , Treatment Outcome
3.
Emergency Medicine Journal : EMJ ; 37(12):843-844, 2020.
Article in English | ProQuest Central | ID: covidwho-939893

ABSTRACT

Aims/Objectives/BackgroundThe COVID-19 pandemic continues to escalate. There is urgent need to stratify patients. Understanding risk of deterioration will assist in admission and discharge decisions, and help selection for clinical studies to indicate where risk of therapy-related complications is justified.Methods/DesignAn observational cohort of patients acutely admitted to two London hospitals with COVID-19 and positive SARS-CoV-2 swab results was assessed. Demographic details, clinical data, comorbidities, blood parameters and chest radiograph severity scores were collected from electronic health records. Endpoints assessed were critical care admission and death. A risk score was developed to predict outcomes.Results/ConclusionsAnalyses included 1,157 patients. Older age, male sex, comorbidities, respiratory rate, oxygenation, radiographic severity, higher neutrophils, higher CRP and lower albumin at presentation predicted critical care admission and mortality. Non-white ethnicity predicted critical care admission but not death. Social deprivation was not predictive of outcome. A risk score was developed incorporating twelve characteristics: age>40, male, non-white ethnicity, oxygen saturations<93%, radiological severity score>3, neutrophil count>8.0 x109/L, CRP>40 mg/L, albumin<34 g/L, creatinine>100 µmol/L, diabetes mellitus, hypertension and chronic lung disease. Risk scores of 4 or higher corresponded to a 28-day cumulative incidence of critical care admission or death of 40.7% (95% CI: 37.1 to 44.4), versus 12.4% (95% CI: 8.2 to 16.7) for scores less than 4.ConclusionOur study identified predictors of critical care admission and death in people admitted to hospital with COVID-19. These predictors were incorporated into a risk score that will inform clinical care and stratify patients for clinical trials.

4.
J Infect ; 81(2): 282-288, 2020 08.
Article in English | MEDLINE | ID: covidwho-436927

ABSTRACT

BACKGROUND: The COVID-19 pandemic continues to escalate. There is urgent need to stratify patients. Understanding risk of deterioration will assist in admission and discharge decisions, and help selection for clinical studies to indicate where risk of therapy-related complications is justified. METHODS: An observational cohort of patients acutely admitted to two London hospitals with COVID-19 and positive SARS-CoV-2 swab results was assessed. Demographic details, clinical data, comorbidities, blood parameters and chest radiograph severity scores were collected from electronic health records. Endpoints assessed were critical care admission and death. A risk score was developed to predict outcomes. FINDINGS: Analyses included 1,157 patients. Older age, male sex, comorbidities, respiratory rate, oxygenation, radiographic severity, higher neutrophils, higher CRP and lower albumin at presentation predicted critical care admission and mortality. Non-white ethnicity predicted critical care admission but not death. Social deprivation was not predictive of outcome. A risk score was developed incorporating twelve characteristics: age>40, male, non-white ethnicity, oxygen saturations<93%, radiological severity score>3, neutrophil count>8.0 x109/L, CRP>40 mg/L, albumin<34 g/L, creatinine>100 µmol/L, diabetes mellitus, hypertension and chronic lung disease. Risk scores of 4 or higher corresponded to a 28-day cumulative incidence of critical care admission or death of 40.7% (95% CI: 37.1 to 44.4), versus 12.4% (95% CI: 8.2 to 16.7) for scores less than 4. INTERPRETATION: Our study identified predictors of critical care admission and death in people admitted to hospital with COVID-19. These predictors were incorporated into a risk score that will inform clinical care and stratify patients for clinical trials.


Subject(s)
Coronavirus Infections/mortality , Critical Care/statistics & numerical data , Hospitalization/statistics & numerical data , Pneumonia, Viral/mortality , Adult , Aged , Aged, 80 and over , Betacoronavirus , COVID-19 , Cohort Studies , Comorbidity , Coronavirus Infections/diagnostic imaging , Electronic Health Records , Female , Humans , London/epidemiology , Male , Middle Aged , Pandemics , Pneumonia, Viral/diagnostic imaging , Radiography , Risk Factors , SARS-CoV-2 , Thorax/diagnostic imaging , Young Adult
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