Socio-Demographic Health Determinants Are Associated with Poor Prognosis in Spanish Patients Hospitalized with COVID-19

Martín‐Sánchez, Francisco Javier; Carbó, Adrián Valls; Miró, Òscar; Llorens, Pere; Jiménez, Sònia; Piñera, Pascual; Burillo-Putze, Guillermo; Martín, A.; García-Lamberechts, Jorge E.; Jacob, Javier; Alquézar, Aitor; Martínez-Valero, Carmen; Miranda, Juan de Dios; Picado, Amanda López; Arrebola, Juan Pedro; López, Marta Esteban; Parviainen, Annika; Castillo, Juan González del; Miró, Òscar; Amez, José María Ferreras; Díaz, Rafael Rubio; Rio, Julio Javier Gamazo del; Alonso, Héctor Olásolo; Herrero, Pablo; Lobera, Noemí Ruiz de; Ibero, Carlos; Mayan, Plácido; Peinado, R. Padilla; Bustos, Carmen Navarro; Manzanares, Jesús Álvarez; Román, Francisco; Burillo, Guillermo; Bibiano, Carlos

doi:10.1007/s11606-020-06584-6

Cited by 12 publications

(9 citation statements)

References 32 publications

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“…In this large, nationwide, retrospective study of nearly 24,000 patients hospitalized in Spain with confirmed COVID-19, around 10% of the patients were ethnic minorities, with Latin Americans being the predominant group. These epidemiological data are similar to other Spanish series of patients with COVID-19 [ 10 , 11 , 12 , 13 , 14 , 15 , 17 ].…”

Section: Discussionsupporting

confidence: 90%

“…Several small and/or single-center studies have shown an increased risk of ICU admission and IHM in individuals born in Latin American countries, but the model was not adjusted for comorbidities in these studies [ 10 , 12 , 13 ]. In another multicenter study from 18 Spanish hospitals that included 10,100 patients hospitalized for COVID-19 during the first wave of infections, 14.8% of whom were not born in Spain, Latin American patients also had higher rates of ICU admission and IHM, but, yet again, no adjustment for comorbidities or clinical and treatment variables was performed [ 15 ]. In contrast, a single-center study conducted during the first wave of the pandemic in Madrid found a lower rate of IHM among migrants (73.5% from Latin American countries) after adjusting for comorbidities.…”

Section: Discussionmentioning

confidence: 99%

“…This influx of immigrants into Spain makes it necessary to study whether there are differences in the clinical progress of patients with COVID-19 according to their ethnicity. Few studies have analyzed the effect of ethnicity on patient progress in Spain [ 10 , 11 , 12 , 13 , 14 , 15 ] or other European Union countries [ 16 ]. Although the Spanish healthcare system is universal and accessibility is theoretically guaranteed to all [ 17 , 18 ], there is little information about ethnicity in health outcomes among patients in Spanish hospitals during the COVID-19 pandemic.…”

Section: Introductionmentioning

confidence: 99%

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Ethnicity and Clinical Outcomes in Patients Hospitalized for COVID-19 in Spain: Results from the Multicenter SEMI-COVID-19 Registry

Ramos‐Rincón

Cobos-Palacios

López-Sampalo

et al. 2022

JCM

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(1) Background: This work aims to analyze clinical outcomes according to ethnic groups in patients hospitalized for COVID-19 in Spain. (2) Methods: This nationwide, retrospective, multicenter, observational study analyzed hospitalized patients with confirmed COVID-19 in 150 Spanish hospitals (SEMI-COVID-19 Registry) from 1 March 2020 to 31 December 2021. Clinical outcomes were assessed according to ethnicity (Latin Americans, Sub-Saharan Africans, Asians, North Africans, Europeans). The outcomes were in-hospital mortality (IHM), intensive care unit (ICU) admission, and the use of invasive mechanical ventilation (IMV). Associations between ethnic groups and clinical outcomes adjusted for patient characteristics and baseline Charlson Comorbidity Index values and wave were evaluated using logistic regression. (3) Results: Of 23,953 patients (median age 69.5 years, 42.9% women), 7.0% were Latin American, 1.2% were North African, 0.5% were Asian, 0.5% were Sub-Saharan African, and 89.7% were European. Ethnic minority patients were significantly younger than European patients (median (IQR) age 49.1 (40.5–58.9) to 57.1 (44.1–67.1) vs. 71.5 (59.5–81.4) years, p < 0.001). The unadjusted IHM was higher in European (21.6%) versus North African (11.4%), Asian (10.9%), Latin American (7.1%), and Sub-Saharan African (3.2%) patients. After further adjustment, the IHM was lower in Sub-Saharan African (OR 0.28 (0.10–0.79), p = 0.017) versus European patients, while ICU admission rates were higher in Latin American and North African versus European patients (OR (95%CI) 1.37 (1.17–1.60), p < 0.001) and (OR (95%CI) 1.74 (1.26–2.41), p < 0.001). Moreover, Latin American patients were 39% more likely than European patients to use IMV (OR (95%CI) 1.43 (1.21–1.71), p < 0.001). (4) Conclusion: The adjusted IHM was similar in all groups except for Sub-Saharan Africans, who had lower IHM. Latin American patients were admitted to the ICU and required IMV more often.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ethnicity and Clinical Outcomes in Patients Hospitalized for COVID-19 in Spain: Results from the Multicenter SEMI-COVID-19 Registry

Ramos‐Rincón

Cobos-Palacios

López-Sampalo

et al. 2022

JCM

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“…For example, on the site of Johns Hopkins University dedicated to COVID-19 [ 1 ], data clearly shows this influence on the case fatality rate corresponding to the cumulative deaths recorded 5 months after the beginning of the outbreak (12 May 2020) vs. the median age of many countries in 2017 ( Figure 1 ). This first observation has been confirmed by many studies in different countries [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ] such as in France ( Figure 2 ), and we will confirm in this paper that the age of the patients suffering from COVID-19 is a good predictor of severity.…”

Section: Introductionsupporting

confidence: 85%

Age Dependent Epidemic Modeling of COVID-19 Outbreak in Kuwait, France, and Cameroon

et al. 2022

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Revisiting the classical model by Ross and Kermack-McKendrick, the Susceptible–Infectious–Recovered (SIR) model used to formalize the COVID-19 epidemic, requires improvements which will be the subject of this article. The heterogeneity in the age of the populations concerned leads to considering models in age groups with specific susceptibilities, which makes the prediction problem more difficult. Basically, there are three age groups of interest which are, respectively, 0–19 years, 20–64 years, and >64 years, but in this article, we only consider two (20–64 years and >64 years) age groups because the group 0–19 years is widely seen as being less infected by the virus since this age group had a low infection rate throughout the pandemic era of this study, especially the countries under consideration. In this article, we proposed a new mathematical age-dependent (Susceptible–Infectious–Goneanewsusceptible–Recovered (SIGR)) model for the COVID-19 outbreak and performed some mathematical analyses by showing the positivity, boundedness, stability, existence, and uniqueness of the solution. We performed numerical simulations of the model with parameters from Kuwait, France, and Cameroon. We discuss the role of these different parameters used in the model; namely, vaccination on the epidemic dynamics. We open a new perspective of improving an age-dependent model and its application to observed data and parameters.

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“…Vulnerable populations are one of the most critical elements of social resilience to COVID-19. Vulnerable populations in the community are important contributors to increased COVID-19 infection rates, including the elderly, adolescents, disability groups, and refugees (or international migrants); improving social resilience to COVID-19 requires going back to the root causes to help vulnerable populations address their problems, including psychological and physical issues [ 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 88 ].…”

Section: Resultsmentioning

confidence: 99%

What Makes Urban Communities More Resilient to COVID-19? A Systematic Review of Current Evidence

Cui

Dong

Yao

et al. 2022

IJERPH

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It has been more than two years since the outbreak of the COVID-19 epidemic at the end of 2019. Many scholars have introduced the “resilience” concept into COVID-19 prevention and control to make up for the deficiencies in traditional community governance. This study analyzed the progress in research on social resilience, which is an important component of community resilience, focusing on the current literature on the impact of social resilience on COVID-19, and proposed a generalized dimension to integrated previous relevant literature. Then, VOSviewer was used to visualize and analyze the current progress of research on social resilience. The PRISMA method was used to collate studies on social resilience to the pandemic. The result showed that many current policies are effective in controlling COVID-19, but some key factors, such as vulnerable groups, social assistance, and socioeconomics, affect proper social functioning. Some scholars have proposed effective solutions to improve social resilience, such as establishing an assessment framework, identifying priority inoculation groups, and improving access to technology and cultural communication. Social resilience to COVID-19 can be enhanced by both external interventions and internal regulation. Social resilience requires these two aspects to be coordinated to strengthen community and urban pandemic resilience.

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Socio-Demographic Health Determinants Are Associated with Poor Prognosis in Spanish Patients Hospitalized with COVID-19

Cited by 12 publications

References 32 publications

Ethnicity and Clinical Outcomes in Patients Hospitalized for COVID-19 in Spain: Results from the Multicenter SEMI-COVID-19 Registry

Ethnicity and Clinical Outcomes in Patients Hospitalized for COVID-19 in Spain: Results from the Multicenter SEMI-COVID-19 Registry

Age Dependent Epidemic Modeling of COVID-19 Outbreak in Kuwait, France, and Cameroon

What Makes Urban Communities More Resilient to COVID-19? A Systematic Review of Current Evidence

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