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1.
An Sist Sanit Navar ; 44(2): 243-252, 2021 Aug 20.
Article in Spanish | MEDLINE | ID: covidwho-2291099

ABSTRACT

BACKGROUND: To describe the number of visits (total and per COVID-19) attended by the Spanish hospital emergency departments (EDs) during the first wave of the pandemic (March-April 2020) compared to the same period in 2019, and to calculate the quantitative changes in healthcare activity and investigate the possible influence of hospital size and COVID-19 seroprevalence. METHOD: Cross-sectional study that analyzes the number of visits to Spanish public EDs, reported through a survey of ED chiefs during the study periods. Changes in healthcare activity were described in each autonomous community and com-pared according to hospital size and the provincial impact of the pandemic. RESULTS: A total of 187 (66?%) of the 283 Spanish EDs participated in the study. The total number of patients attended de-creased to 49.2?% (

Subject(s)
COVID-19 , Emergency Service, Hospital , Pandemics , Cross-Sectional Studies , Humans , SARS-CoV-2 , Seroepidemiologic Studies
3.
Revista Espanola de Salud Publica ; 95:11, 2021.
Article in Spanish | MEDLINE | ID: covidwho-1350800

ABSTRACT

OBJECTIVE: During the first wave of the COVID-19 pandemic, the availability of a critical care bed was insufficient. The aim of this work was to evaluate the presence of protocols, management in the emergency department (ED) and the availability of intensive care unit (ICU) beds for severe COVID-19 patients attended in Spanish hospital EDs during the first peak of the 2020 pandemic. METHODS: Questionnaire collecting data regarding ED care in March-April 2020 aimed at all Spanish public health care EDs. The respondents were the Chiefs of EDs. The variables of interest were: 1) Presence and of compliance with ED protocols for decision making and adequacy of therapeutic effort;2) management of COVID-19 patients with non-invasive mechanical ventilation (NIMV) or high flow nasal cannula (HFNC) in the ED;and 3) ICU bed accessibility for ED patients. The results were compared based on the characteristics of the hospital, impact of the pandemic and autonomous community. A descriptive and inferential analysis of the variables studied was performed using the chi-square test and analysis of variance. RESULTS: A total of 246 questionnaires (89%) were received. Protocols were available in 136 EDs (57.1%). Globally, the protocol was applied in >95% of the EDs, although this was less frequent (76%) in EDs with high impact of the pandemic. 53% of the EDs managed patients with severe COVID-19 with NIMV/HFNC in the ED itself, and 19.4% suffered from lack of ICU beds. The lack of ICU beds for severe COVID-19 patients in the ED significantly differed among periods, and more marked in hospitals with ICU and with high pandemic impact. CONCLUSIONS: It is needed to generalize the implementation of protocols in EDs for the management of severe COVID-19 patients and improve the capacity of the ICUs to homogeneously adjust to the needs.

4.
Med Intensiva (Engl Ed) ; 45(1): 14-26, 2021.
Article in English, Spanish | MEDLINE | ID: covidwho-1065470

ABSTRACT

OBJECTIVE: To describe and compare the demographic characteristics and comorbidities of patients with COVID-19 who died in Spanish hospitals during the 2020 pandemic based on whether they were or were not admitted to an intensive care unit (ICU) prior to death. METHODS: We performed a secondary analysis of COVID-19 patients who died during hospitalization included by 62 Spanish emergency departments in the SIESTA cohort. We collected the demographic characteristics and comorbidities, determined both individually and estimated globally by the Charlson index (ChI). Independent factors related to ICU admission were identified and different analyses of sensitivity were performed to contrast the consistency of the findings of the principal analysis. RESULTS: We included the 338 patients from the SIESTA cohort that died during hospitalization. Of these, 77 (22.8%) were admitted to an ICU before dying. After multivariate adjustment, 3 out of the 20 basal characteristics analyzed in the present study were independently associated with ICU admission: dementia (no patients with dementia who died were admitted to the ICU: OR = 0, 95%CI = not calculable), active cancer (OR = 0.07; 95%CI = 0.02-0.21) and age (< 70 years: OR = 1, reference; 70-74 years: OR = 0.21; 95%CI = 0.08-0.54; 75-79 years: OR = 0.21; 95%CI = 0.08-0.54; ≥ 80 years: OR = 0.02; 95%CI = 0.01-0.05). The probability of ICU admission significantly increased in parallel to the ChI, even after adjustment for age (ChI 0 points: OR = 0, reference; ChI 1 point: OR = 0.36; 95%CI = 0.16-0.83; ChI 2 points: OR = 0.36; 95%CI = 0.16-0.83; ChI >2 points: OR = 0.09; 95%CI = 0.04-0.23). The sensitivity analyses showed no gross differences compared to the principal analysis. CONCLUSIONS: The profile of COVID-19 patients who died without ICU admission is similar to that observed in the usual medical practice before the pandemic. The basal characteristics limiting their admission were age and global burden due to comorbidity, especially dementia and active cancer.


Subject(s)
COVID-19/mortality , Hospital Mortality , Intensive Care Units/statistics & numerical data , Pandemics/statistics & numerical data , SARS-CoV-2 , Age Distribution , Aged , Aged, 80 and over , Analysis of Variance , Asthma/epidemiology , COVID-19/epidemiology , Cohort Studies , Comorbidity , Confidence Intervals , Coronary Disease/epidemiology , Dementia/epidemiology , Diabetes Mellitus/epidemiology , Dyslipidemias/epidemiology , Female , Humans , Hypertension/epidemiology , Male , Neoplasms/epidemiology , Odds Ratio , Sex Distribution , Spain/epidemiology , Time Factors
5.
Medicina Intensiva (English Edition) ; 2020.
Article in English | ScienceDirect | ID: covidwho-933341

ABSTRACT

Objective To describe and compare the demographic characteristics and comorbidities of patients with COVID-19 who died in Spanish hospitals during the 2020 pandemic based on whether they were or were not admitted to an intensive care unit (ICU) prior to death. Methods We performed a secondary analysis of COVID-19 patients who died during hospitalization included by 62 Spanish emergency departments in the SIESTA cohort. We collected the demographic characteristics and comorbidities, determined both individually and estimated globally by the Charlson index (ChI). Independent factors related to ICU admission were identified and different analyses of sensitivity were performed to contrast the consistency of the findings of the principal analysis. Results We included the 338 patients from the SIESTA cohort that died during hospitalization. Of these, 77 (22.8%) were admitted to an ICU before dying. After multivariate adjustment, 3 out of the 20 basal characteristics analyzed in the present study were independently associated with ICU admission: dementia (no patients with dementia who died were admitted to the ICU: OR = 0, 95%CI = not calculable), active cancer (OR = 0.07;95%CI = 0.02-0.21) and age (< 70 years: OR = 1, reference;70-74 years: OR = 0.21;95%CI = 0.08-0.54;75-79 years: OR = 0.21;95%CI = 0.08-0.54;≥ 80 years: OR = 0.02;95%CI = 0.01-0.05). The probability of ICU admission significantly increased in parallel to the ChI, even after adjustment for age (ChI 0 points: OR = 0, reference;ChI 1 point: OR = 0.36;95%CI = 0.16-0.83;ChI 2 points: OR = 0.36;95%CI = 0.16-0.83;ChI >2 points: OR = 0.09;95%CI = 0.04-0.23). The sensitivity analyses showed no gross differences compared to the principal analysis. Conclusions The profile of COVID-19 patients who died without ICU admission is similar to that observed in the usual medical practice before the pandemic. The basal characteristics limiting their admission were age and global burden due to comorbidity, especially dementia and active cancer. Resumen Objetivo Describir las características demográficas y de comorbilidad de los pacientes con COVID-19 fallecidos en hospitales españoles durante el brote pandémico de 2020 y compararlas según si ingresaron o no en una Unidad de Cuidados Intensivos (UCI) antes del fallecimiento. Métodos Análisis secundario de los pacientes de la cohorte SIESTA (formada por pacientes COVID de 62 hospitales españoles) fallecidos durante la hospitalización. Se recogieron sus características demográficas y comorbilidades, individuales y globalmente, estimadas mediante el índice de comorbilidad de Charlson (ICC). Se identificaron los factores independientes relacionados con ingreso en UCI, y se realizaron diversos análisis de sensibilidad para contrastar la consistencia de los hallazgos del análisis principal. Resultados Se incluyeron los 338 pacientes de la cohorte SIESTA fallecidos;de ellos, 77 (22,8%) accedieron a una UCI previamente al fallecimiento. En el análisis multivariable, tres de las 20 características basales analizadas se asociaron independientemente con ingreso en UCI de los pacientes fallecidos: demencia (no hubo pacientes fallecidos con demencia que ingresasen en UCI;OR = 0, IC 95% = no calculable), cáncer activo (OR = 0,07, IC 95% = 0,02-0,21) y edad (< 70 años: OR = 1, referencia;70-74 años: OR = 0,21, IC 95% = 0,08-0,54;75-79 años: OR = 0,21, IC 95% = 0,08-0,54;≥ 80 años: OR = 0,02, IC 95% = 0,01-0,05). La probabilidad de ingreso en UCI de los pacientes que fallecieron disminuyó significativamente al aumentar el ICC, incluso tras ajustarla por edad (ICC 0 puntos: OR = 1, referencia;ICC 1 punto: OR = 0,36, IC 95% = 0,16-0,83;ICC 2 puntos: OR = 0,36, IC 95% = 0,16-0,83;ICC > 2 puntos: OR = 0,09, IC 95% = 0,04-0,23). Los análisis de sensibilidad no mostraron diferencias destacables respecto al análisis principal. Conclusiones El perfil de los pacientes COVID fallecidos sin ingresar en UCI se ajustó a lo observado en la práctica médica habitual antes de la pandemia, y las características basales que limitaron su ingreso fueron la edad y la carga de comorbilidad global, especialmente la demencia y el cáncer activo.

6.
Emergencias ; 32(5):320-331, 2020.
Article in Spanish, English | PubMed | ID: covidwho-813019

ABSTRACT

OBJECTIVES: To estimate the impact of the coronavirus disease 2019 (COVID-19) pandemic on the organization of Spanish hospital emergency departments (EDs). To explore differences between Spanish autonomous communities or according to hospital size and disease incidence in the area. MATERIAL AND METHODS: Survey of the heads of 283 EDs in hospitals belonging to or affiliated with Spain's public health service. Respondents evaluated the pandemic's impact on organization, resources, and staff absence from work in March and April 2020. Assessments were for 15-day periods. Results were analyzed overall and by autonomous community, hospital size, and local population incidence rates. RESULTS: A total of 246 (87%) responses were received. The majority of the EDs organized a triage system, first aid, and observation wards;areas specifically for patients suspected of having COVID-19 were newly set apart. The nursing staff was increased in 83% of the EDs (with no subgroup differences), and 59% increased the number of physicians (especially in large hospitals and locations where the COVID-19 incidence was high). Diagnostic tests for the severe acute respiratory syndrome coronavirus 2 were the resource the EDs missed most: 55% reported that tests were scarce often or very often. Other resources reported to be scarce were FPP2 and FPP3 masks (38% of the EDs), waterproof protective gowns (34%), and space (32%). More than 5% of the physicians, nurses, or other emergency staff were on sick leave 20%, 19%, and 16% of the time. These deficiencies were greatest during the last half of March, except for tests, which were most scarce in the first 15 days. Large hospital EDs less often reported that diagnostic tests were unavailable. In areas where the COVID-19 incidence was higher, the EDs reported higher rates of staff on sick leave. Resource scarcity differed markedly by autonomous community and was not always associated with the incidence of COVID-19 in the population. CONCLUSION: The COVID-19 pandemic led to organizational changes in EDs. Certain resources became scarce, and marked differences between autonomous communities were detected.

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