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www.swisshealthweb.ch
EMH Schweizerischer Ärzteverlag AG
Münchensteinerstrasse 117
CH-4053 Bâle
+41 (0)61 467 85 44
support[at]swisshealthweb.ch
www.swisshealthweb.ch
AIM OF THE STUDY: To compare admission characteristics, predictors and outcomes of patients with confirmed coronavirus disease 2019 (COVID-19) hospitalised in a tertiary care hospital in Switzerland during the first and second waves of the pandemic.
METHODS: This retrospective observational analysis included adult patients with severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection confirmed by a real-time reverse transcriptase polymerase chain reaction (RT-PCR) or rapid antigen test and hospitalised at the Cantonal Hospital Aarau from 26 February to 30 April 2020 (first wave) and from 1 October to 31 December 2020 (second wave). The primary endpoint was all-cause in-hospital mortality. The secondary endpoints were transfer to the intensive care unit (ICU) and length of hospital stay (LOS).
RESULTS: Overall, 486 patients (mean age 65.9 years ± 14.7 SD, 65% male) were included. Ninety-two patients (19%) died during the hospital stay and 92 patients (19%) were transferred to the ICU. Admission characteristics, including comorbidities and frailty, were similar for patients of the first (n = 100) and second wave (n = 386). However, during the second wave the median time from symptom onset to presentation to the emergency department (ED) was shorter (7 days, interquartile range [IQR] 4–9 vs 8 days, IQR 4–11; p = 0.02). In the second wave, most patients received high-dose glucocorticoid treatment (0% vs 76%, p <0.01). In-hospital mortality was similar among COVID-19 patients in the first (19/100, 19%) and second wave (73/386, 19%); this finding persisted after full adjustment in multiple regression models (adjusted odds ratio [aOR] 1.18, 95% confidence interval [CI] 0.49–2.80; p = 0.71). Risk for ICU admission was also similar (24% vs 18%; aOR 0.98, 95% CI 0.46–2.06; p = 0.95). More patients were transferred to rehabilitation facilities in the second wave (18% vs 31%; aOR 2.06, 95% CI 1.04–4.07; p = 0.04) and LOS was 2.5 days shorter (9.0 vs 6.5 days; adjusted difference −2.53 days, 95%-CI −4.51 to −0.54; p = 0.01). Main predictors for in-hospital death were patient age (aOR 1.07, 95% CI 1.02–1.11; p <0.01), male sex (aOR 2.41, 95% CI 1.05–5.55; p = 0.04) and the age-adjusted Charlson comorbidity index (aOR 1.27, 95% CI 1.09–1.48 p <0.01).
CONCLUSION: Despite differing treatment regimens, mortality and ICU admission remained largely unchanged for COVID-19 patients admitted during the second wave of the pandemic in our tertiary care hospital. However, discharge processes were optimised with patients leaving the hospital earlier and going to rehabilitation facilities more often.
AIMS: The aim of this study was to analyse the demographics, risk factors and in-hospital mortality rates of patients admitted with coronavirus disease 2019 (COVID-19) to a tertiary care hospital in Switzerland.
METHODS: In this single-centre retrospective cohort study at the University Hospital Basel, we included all patients with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection hospitalised from 27 February 2020 to 10 May 2021. Patients’ characteristics were extracted from the electronic medical record system. The primary outcome of this study was temporal trends of COVID-19-related in-hospital mortality. Secondary outcomes were COVID-19-related mortality in patients hospitalised on the intensive care unit (ICU), admission to ICU, renal replacement therapy and length of hospital stay, as well as a descriptive analysis of risk factors for in-hospital mortality.
RESULTS: During the study period we included 943 hospitalisations of 930 patients. The median age was 65 years (interquartile range [IQR] 53–76) and 63% were men.
The numbers of elderly patients, patients with multiple comorbidities and need for renal replacement therapy decreased from the first and second to the third wave. The median length of stay and need for ICU admission were similar in all waves. Throughout the study period 88 patients (9.3%) died during the hospital stay. Crude in-hospital mortality was similar over the course of the first two waves (9.5% and 10.2%, respectively), whereas it decreased in the third wave (5.4%). Overall mortality in patients without comorbidities was low at 1.6%, but it increased in patients with any comorbidity to 12.6%. Predictors of all-cause mortality over the whole period were age (adjusted odds ratio [aOR] per 10-year increase 1.81, 95% confidence interval [CI] 1.45–2.26; p <0.001), male sex (aOR 1.68, 95% CI 1.00–2.82; p = 0.048), immunocompromising condition (aOR 2.09, 95% CI 1.01–4.33; p = 0.048) and chronic kidney disease (aOR 2.25, 95% CI 1.35–3.76; p = 0.002).
CONCLUSION: In our study in-hospital mortality was 9.5%, 10.2% and 5.4% in the first, second and third waves, respectively. Age, immunocompromising condition, male sex and chronic kidney disease were factors associated with in-hospital mortality. Importantly, patients without any comorbidity had a very low in-hospital mortality regardless of age.
OBJECTIVES: Characteristics of Swiss patients with systemic sclerosis have not been described so far. The aim of the current study was to identify unmet needs in comparison with other European countries that could inform specific interventions to improve the care of systemic sclerosis patients.
METHODS: We analysed Swiss and other European systemic sclerosis patients registered in European Scleroderma Trials And Research (EUSTAR) and the Very Early Diagnosis Of Systemic Sclerosis (VEDOSS) cohort. Demographics, clinical profiles, organ involvement and survival of established, early/mild and very early / very mild systemic sclerosis patients were described and compared between the cohorts.
RESULTS: We included 679 Swiss and 8793 European systemic sclerosis patients in the analysis. Over 95% of patients in both cohorts were Caucasian, disease subsets were similar, and no age difference was found. The Swiss cohort had more male patients (25% vs 16% European, p = 0.005) and higher prevalence of early/mild and very early / very mild patients (26.1 vs 8.5% European and 14.9% vs 6.7% European, respectively, both p <0.0001). Disease duration in established systemic sclerosis patients at first presentation was numerically shorter but not significant in the Swiss cohort: 5.0 years (1–12) Swiss vs 6.0 years (2–12) years European, p = 0.055). Despite the earlier referral of Swiss patients to systemic sclerosis expert centres, they showed evidence of more severe disease, particularly in the limited cutaneous systemic sclerosis subset, but no differences in overall survival on longitudinal follow-up were observed.
CONCLUSION: This is the first report of the national Swiss EUSTAR cohort. It identifies earlier referral to systemic sclerosis expert centres, before major organ damage occurs, and when outcome can still be modified, as a priority to improve care of patients with systemic sclerosis.
BACKGROUND: Despite the universal recognition that stroke is a major burden of public health in developed countries, little is known concerning its epidemiology and care outside of stroke centres. The objective of our study was to provide information concerning risk factors for stroke, stroke management and quality of care in a community hospital in Switzerland.
METHODS: Retrospective observational in-hospital study of adult stroke patients treated in a community hospital in Switzerland in collaboration with a nearby stroke centre. Patients were identified by the corresponding ICD-10 codes from July 2017 to December 2018.
RESULTS: We included 261 patients with a median age of 78 years (interquartile range [IQR] 68–85). Sixty-four percent (166) had ischaemic strokes, 18% (46) transient ischaemic attacks and 19% (49) intracranial bleeding. The most frequent risk factors were arterial hypertension in 195 (75%) patients, dyslipidaemia in 124 (48%) patients and overweight/obesity in 102 (39%). Dyslipidaemia and atrial fibrillation were undiagnosed at admission in 47 (38%) and 16 (27%) patients, respectively. Ninety-one (37%) patients with an out-of-hospital stroke presented within 4.5 hours after symptom onset. Intravenous thrombolysis was initiated in 27 patients (49% of the out-of-hospital ischaemic strokes presenting within 4.5 hours) and the median door-to-needle time was 55 minutes (IQR 40–67) and within 60 minutes in 16 (59%) patients. The most frequent poststroke complications were aspiration pneumonia in 22 (8%) followed by urinary tract infection in 14 (5%). The referral rate to a stroke centre or neurosurgical unit was 18%.
CONCLUSION: Our findings support further education of the population in recognition of stroke symptoms and assessment of cardiovascular risk factors according to guidelines. Telemedical cooperation with a local stroke centre can result in adequate quality of care in these patients.