Skip to main content
Download PDF

Mortality among Italians and immigrants with COVID-19 hospitalised in Milan, Italy: data from the Luigi Sacco Hospital registry

BMC Infectious Diseases volume 22, Article number: 63 (2022) Cite this article

Abstract

Background

To compare differences in the probability of COVID-19-related death between native Italians and immigrants hospitalised with COVID-19.

Methods

This retrospective study of prospectively collected data was conducted at the ASST Fatebenefratelli-Sacco Hospital in Milan, Italy, between 21 February and 31 November 2020. Uni- and multivariable Cox proportional hazard models were used to assess the impact of the patients' origin on the probability of COVID-19-related death.

Results

The study population consisted of 1,179 COVID-19 patients: 921 Italians (78.1%) and 258 immigrants (21.9%) who came from Latin America (99, 38%), Asia (72, 28%), Africa (50, 19%) and central/eastern Europe (37, 14%). The Italians were significantly older than the immigrants (median age 70 years, interquartile range (IQR) 58–79 vs 51 years, IQR 41–60; p < 0.001), and more frequently had one or more co-morbidities (79.1% vs 53.9%; p < 0.001). Mortality was significantly greater among the Italians than the immigrants as a whole (26.6% vs 12.8%; p < 0.001), and significantly greater among the immigrants from Latin America than among those from Asia, Africa or central/eastern Europe (21% vs 8%, 6% and 8%; p = 0.016). Univariable analysis showed that the risk of COVID-19-related death was lower among the immigrants (hazard ratio [HR] 0.43, 95% confidence interval [CI] 0.30–0.63; p < 0.0001], but the risk of Latin American immigrants did not significantly differ from that of the Italians (HR 0.74, 95% CI 0.47–1.15; p = 0.183). However, after adjusting for potential confounders, multivariable analysis showed that there was no difference in the risk of death between the immigrants and the Italians (adjusted HR [aHR] 1.04, 95% CI 0.70–1.55; p = 0.831), but being of Latin American origin was independently associated with an increased risk of death (aHR 1.95, 95% CI 1.17–3.23; p = 0.010).

Conclusions

Mortality was lower among the immigrants hospitalised with COVID-19 than among their Italian counterparts, but this difference disappeared after adjusting for confounders. However, the increased risk of death among immigrants of Latin American origin suggests that COVID-19 information and prevention initiatives need to be strengthened in this sub-population.

Peer Review reports

Background

The Coronavirus Disease 2019 (COVID-19) pandemic caused by the newly identified severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started to hit Europe in late February 2020, when there was an abrupt surge in the number of severely and critically ill respiratory patients in northern Italy, particularly Lombardy [1]. From then to week 44 of 2021, 76,799,553 cases and 1,433,500 deaths were reported in the EU/EEA, many of which occurred in Italy [2].

The probability that people infected with SARS-CoV-2 will die is one of the most concerning aspects of the COVID-19 pandemic. Early observational studies of hospitalised COVID-19 patients found that an older age, a higher co-morbidity burden, obesity, and disease severity upon hospital admission all markedly influenced the risk of death [3]. Furthermore, data from ongoing studies of the general population spread of the virus [4] suggest that a higher risk of exposure is associated with socio-economic vulnerabilities, such as limited educational and employment opportunities and/or belonging to an ethnic minority, and that people in poorer general health are more likely to develop severe and fatal illness [5,6,7,8]. It has also been observed that immigrants are at greater risk of exposure and infection than native populations, probably because they often work in high-risk occupations, live in overcrowded accommodation, and face barriers to healthcare and prevention initiatives [9, 10]. Some studies have found that immigrants with COVID-19 are also at increased risk of hospitalisation [9, 10], but it is unclear whether this means that they are also at increased risk of COVID-19-related death [11, 12].

The aim of this study was to assess differences in the probability of COVID-19-related death between native Italians and immigrants with COVID-19 admitted to two major hospitals in Milan, Italy.

Methods

Study design

This was a retrospective observational study of prospectively collected data relating to a cohort of hospitalised COVID-19 patients.

Setting

The study was conducted at the Department of Infectious Diseases and the intensive care unit of Luigi Sacco Hospital in collaboration with the Department of Internal Medicine of Fatebenefratelli Hospital. Luigi Sacco Hospital, which is located on the outskirts of Milan, is one of the city’s major infectious diseases centres, and has been at the forefront of the hospitalisation of COVID-19 patients since the first days of the pandemic in Italy [13,14,15,16]. The Department of Internal Medicine of Fatebenefratelli Hospital, which is located in the inner city, was rapidly converted to a COVID-19 centre when the pandemic struck.

As laid down in Italian healthcare regulations, urgent and essential healthcare is provided free of charge to Italians and immigrants regardless of their legal status.

Participants

The study enrolled all of the adult patients with a diagnosis of COVID-19 confirmed by reverse-transcriptase polymerase chain reaction on a nasopharyngeal swab who were admitted to our hospitals between 21 February and 31 November 2020; observation of the cohort was censored on 28 February 2021.

Data source and management

The characteristics of the data management have been fully described elsewhere [13,14,15,16]. In brief, the data were extracted from the patients' clinical charts on a daily basis, and were stored in an ad hoc database. The collected data were the patients’ date and place of birth, and biological sex; the time between symptom onset and hospital admission; co-morbidities (including diabetes, lung diseases, heart diseases, renal diseases, immune system diseases, liver diseases, and obesity defined as a body mass index of ≥ 30) [17]; the burden of co-morbidities (0, 1, 2, and 3 +); whether there was a need for supportive oxygen therapy upon hospital admission; disease severity upon hospital admission (defined as mild, moderate, severe or critical in accordance with the World Health Organisation (WHO) guidelines for the management of COVID-19) [13, 18]; and hospitalisation outcome (date and cause of death, discharge, or transfer to another facility). The vital status of the patients discharged or transferred before the censoring date was ascertained by means of telephone calls.

Outcomes and variables

The main outcome of interest was COVID-19-related mortality, and the principal variable of interest was place of birth. The patients were classified as natives (if they were born in Italy) or immigrants (sub-divided into four regions of origin: central/eastern Europe, Africa, Latin America, and Asia).

The baseline variables known to be clinically relevant to the outcome of interest [3, 13, 14] and included in the analysis as potential confounders were age, biological sex, the number of days between symptom onset and hospital admission, co-morbidities (including obesity), and disease severity upon hospital admission.

Statistical analysis

The descriptive statistics of the categorical variables are given as proportions, and those of the continuous variables as median values and interquartile range (IQR). The baseline demographic and clinico-epidemiological characteristics of the Italians and immigrants were compared using the χ2 or Fisher's exact test for the categorical variables, and Wilcoxon’s rank-sum test for the continuous variables; the characteristics of the immigrants from different regions of origin were also compared in the same way.

The Kaplan–Meier method was used to plot the survival curves of the Italians and the immigrants as a whole or stratified on the basis of their region of origin (central/eastern Europe, Africa, Latin America, and Asia). Survival curves adjusted for the potential confounders of age, biological sex, time from symptom onset, obesity, and disease severity upon hospital admission were generated using Cox’s model.

The association between the patients’ origins and the risk of COVID-19-related death was investigated using uni- and multivariable Cox proportional hazard ratios (HRs) and their 95% confidence intervals (CIs). All of the variables were entered in the multivariable model by adjusting the effect of immigrant status and region of origin for all of the other co-variates as potential confounders. The discriminative ability of the model was assessed using the integrated area under the receiver-operating characteristic curve (AUC-ROC), which averages all of the available AUC statistics over time. The presence of multi-collinearity among the explanatory variables was verified using the generalised variance inflation factor (GVIF) tool.

All of the statistical analyses were made using SAS software, version 9.4, and differences with a P value of < 0.05 were considered statistically significant.

The study was approved by our Ethics Committee (Comitato Etico Interaziendale Area 1, Milan, Italy). All of the patients signed a written informed consent form except for those undergoing mechanical ventilation upon admission for whom it was allowed to be waived.

Results

Between 21 February and 31 November 2020, our clinical centres admitted 1,179 COVID-19 patients: 921 Italians (78.1%) and 258 immigrants (21.9%). Figure 1 shows monthly enrolment during the study period: there was no difference in the proportion of immigrants enrolled during the first wave of the pandemic (21 February-30 April) and the second (1 October-31 November).

Fig. 1
figure 1

Number of hospital admissions to the Department of Infectious Diseases and intensive care unit of Luigi Sacco Hospital by patient origin. * The percentage of immigrants admitted during the first and second waves

Full size image

Table 1 shows the patients’ baseline demographic and clinical characteristics. The Italians were significantly older than the immigrants (median age 70 years, IQR 58–79 vs 51 years, IQR 41–60; p < 0.001), and more frequently had one or more co-morbidities (79.1% vs 53.9%; p < 0.001), particularly cardiovascular (60.6% vs 29.5%) and oncological diseases (14.5% vs 6.9%) (p < 0.001 for both). The median time between the onset of COVID-19 symptoms and hospital admission was shorter among the immigrants (6 days, IQR 3–9 vs 7 days, IQR 3–19; p = 0.026), but there was no between-group difference in disease severity upon hospital admission.

Table 1 Characteristics of the study population by origin
Full size table

Ninety-nine of the immigrants (38.4%) came from Latin America (mainly from Peru, Ecuador, and El Salvador); 72 (27.9%) from Asia (mainly from The Philippines, Bangladesh, and China); 50 (19.4%) from Africa (mainly from Egypt and Morocco); and 37 (14.3%) from central/eastern Europe (mainly Ukraine, Albania, and Romania). Table 2 shows the differences in the demographic and clinical characteristics of the immigrants by region of origin. The patients from central/eastern Europe included more women (51%) than the other groups (p = 0.015). The patients from Latin America were characterised by a non-statistically significant higher prevalence of obesity and a longer time interval between symptom onset and hospital admission than the other non-Italians (p = 0.015), and less frequent diagnoses of mild disease upon admission (p = 0.011).

Table 2 Characteristics of non-Italian patients with COVID-19 by origin
Full size table

COVID-19-related mortality

Two hundred and seventy-eight of the 1,179 patients (23.5%) died in hospital within a median of 12 days after admission (IQR 6–20 days). The mortality rate was higher among the Italians (245/921, 26.6%) than among the immigrants as a whole (33/258, 12.8%) (p < 0.001). However, the mortality rate was higher among the immigrants from Latin America (21%) than among those from Asia (8%), central-eastern Europe (8%) or Africa (6%) (p = 0.016), and this difference remained after adjusting for potential confounders (p = 0.028).

Figure 2A and B show the Kaplan–Meier and adjusted survival curves of the Italians and immigrants. The overall probability of COVID-19-related death within 30 days of hospital admission was higher among the Italians: 24%, 95 CI: 21–27% vs 11%, 95 CI: 8–15%.; however, after adjusting for age, biological sex, time from symptom onset, obesity, and disease severity upon hospital admission, there was no between-group difference in 30-day mortality.

Fig. 2
figure 2

A Kaplan–Meier survival curves by patient origin (native Italians vs immigrants). B Survival curves generated by means of a Cox model (adjusted for age, biological sex, time from symptom onset, obesity, and disease severity upon hospital admission)

Full size image

Figures 3A and B show the Kaplan–Meier and adjusted survival curves of the patients by region of origin. Latin Americans had the second highest probability of dying within 30 days of hospital admission (17%, 95 CI: 10–25%) but, after adjusting for age, biological sex, time from symptom onset, obesity, and disease severity upon hospital admission, it was the highest.

Fig. 3
figure 3

A Kaplan–Meier survival curves by patient origin (native Italians vs immigrants from Latin America vs immigrants from Asia vs immigrants from Africa vs immigrants from central/eastern Europe). B Survival curves generated by means of a Cox model (adjusted for age, biological sex, time from symptom onset, obesity, and disease severity upon hospital admission)

Full size image

Uni- and multivariable Cox proportional hazard models assessing the effect of immigrant status and region of origin on the risk of COVID-19-related death

Table 3 shows the results of the uni- and multivariable analyses of the factors associated with COVID-19-related death.

Table 3 Cox regression analysis of the demographic and clinical factors associated with mortality due to SARS-CoV-2 infection
Full size table

The crude risk of COVID-19-related death among the immigrants was lower than among the Italians (HR 0.43, 95% CI 0.30–0.63; p < 0.0001). Moreover, the risk of COVID-19-related death among the immigrants from Africa (HR 0.20, 95% CI 0.06–0.63; p = 0.006), Asia (HR 0.28, 95% CI 0.12–0.63; p = 0.002), and central/eastern Europe (HR 0.27, 95% CI 0.09–0.84; p = 0.024) was lower than that of the Italians, whose risk was not significantly different from that of the Latin Americans (HR 0.74, 95% CI 0.47–1.15; p = 0.183) (Table 4).

Table 4 Cox regression analysis of the demographic and clinical factors associated with mortality due to SARS-CoV-2 infection
Full size table

However, when the Cox model was adjusted for possible confounders, there was no significant difference in the risk of death between the immigrants and the Italians (adjusted HR [aHR] 1.04, 95% CI 0.70–1.55; p = 0.831). Moreover, being of Latin American origin was independently associated with an increased risk of COVID-19-related death (aHR vs Italians 1.95, 95% CI 1.17–3.23; p = 0.010). The multivariable analyses also confirmed that age (aHR 1.07 per 1 year more, 95% CI 1.06–1.08; p < 0.0001), male biological sex (aHR: 1.46, 95% CI 1.12–1.92; p = 0.006), obesity (aHR: 1.64, 95% CI 1.23–2.20; p = 0.001), and disease severity upon hospital admission (severe disease (HR 3.76, 95% CI 1.78–7.93; p = 0.001; critical disease: aHR 8.52, 95% CI 4.09–17.76; p < 0.0001) were all independently associated with a higher risk of COVID-19-related death.

The integrated AUC-ROC values of the final model were 0.828 (Italians vs immigrants as a whole) and 0.824 (Italians vs immigrants stratified on the basis of their region of origin), and the GVIF values did not indicate the presence of multi-collinearity among the independent variables included in the final model.

Discussion

Just over 20% of our hospitalised COVID-19 patients were immigrants and, excluding the early days of the study period (when the patients were mainly Italians from the first epidemic hotspots in Lombardy) [1, 13], the percentage was similar during the first and second waves of the epidemic in early spring and autumn 2020. This is slightly higher than the percentage of immigrants living in the metropolitan area of Milan (14.1%) or in the inner-city (18.2%) [19], and included a much higher proportion of Latin Americans (38.4%) than the proportion of Latin Americans in the city’s immigrant population as a whole (16.5%) [20]. The fact that the proportion of immigrants in our population of hospitalized COVID-19 patients was higher than the proportion of immigrants living in the metropolitan area of Milan suggests a greater spread of SARS-CoV-2 infection among the city’s immigrant communities. This hypothesis is supported by a recent cross-sectional study of Pagani et al., who assessed the prevalence of anti-SARS-CoV-2 nucleocapsid antibodies among 2,044 Italian and non-Italian inhabitants of a social-housing neighbourhood in Milan. The overall prevalence was 12.4%, but there was a more than two-fold difference between the non-Italians and Italians (23.3% vs 9.1%) that was possibly due to various socio-economic and cultural factors [21]. Although it cannot be excluded that immigrants living in Milan are more exposed to SARS-CoV-2 than Italians, it can be speculated that the immigrants’ risk of hospitalisation and death due to COVID-19 is partially mitigated by their younger age [22]: the immigrants in our cohort were significantly younger and less frequently affected by age-related co-morbidities than the Italians, which reflects the demographic differences between the two groups in northern Italy [22]. An older age and age-related co-morbidities are known to be strongly associated with increased COVID-19-related morbidity and mortality [3, 13, 14], and so it is not surprising that in-hospital mortality was greater among the Italians than among the immigrants as a whole or that this difference disappeared after adjusting for the potential confounders of age, biological sex, co-morbidities, and disease severity upon hospital admission. However, it was worryingly unexpected to find that, after adjusting for the same potential confounders, Latin Americans were at higher risk of dying than the Italians and the immigrants from other regions.

The findings of two previous studies of Spanish and immigrant COVID-19 patients hospitalised in Spain (including a majority of immigrants from Latin America) are different: one did not find any significant difference in mortality between patients of European and non-European origin [12], and the other found that mortality was actually lower among the immigrants [11]. The foreign-born patients in these studies had similar demographic characteristics to those of our immigrant patients, but the lack of additional information concerning the clinical drivers of COVID-19 outcomes (such as disease severity or the prevalence of obesity) makes it difficult to make a more detailed comparison. It is also worth remembering that, although Italy and Spain are the main European destinations of Latin American migrants [23], it is likely that those settling in Spain are more integrated, not least because of their common language and cultural proximity.

It is possible that the Latin Americans in our study experienced severe/critical disease more frequently than immigrants from other regions because they knew less about or underestimated the early signs of COVID-19 and were therefore less likely to seek medical advice promptly, or because they may have been afraid of losing wages or their often precarious and unregistered jobs. Such factors were found to be common in a qualitative study of Latin Americans with COVID-19 who were hospitalised in San Francisco [24], and they may explain the excess burden of morbidity and mortality among Latin Americans (particularly more recent immigrants) in the USA [25, 26].

Government policies limiting the access of uninsured or undocumented immigrants to healthcare services can also affect the care-seeking behaviour of immigrants and, although Italy guarantees free emergency healthcare regardless of legal status, undocumented immigrants are highly vulnerable and may be unaware of their rights [27].

Another striking characteristic of our Latin American patients is the high (30%) prevalence of obesity, which substantially increases the risk of COVID-related death [13, 14]. The rates of obesity have markedly increased in Latin America over the last 10–15 years, and it is now considered a public health problem in most Latin American countries [28,29,30,31]. In addition, there is evidence that the change in dietary habits associated with immigration and integration increases susceptibility to obesity [29].

The greater frequency of severe COVID-19 and disease-related mortality among the Latin American immigrants hospitalised in two clinical centres in Milan is alarming, and there is a real need to clarify whether it is due to a higher incidence of SARS-CoV-2 infection in the Latin American community, or to cultural, behavioural and socio-economic reasons preventing them from promptly seeking healthcare, or to other factors that have not yet been identified.

Study limitations

This study has a number of limitations. First of all, its design means that our findings may not apply to different settings and, although the study centres were located in different parts of Milan, it is possible that the study population did not reflect the demographics of the entire metropolitan area. Secondly, the relatively small number of immigrants in our cohort may have limited our characterisation of the differences between groups of immigrants of different origin. Thirdly, given the observational and exploratory nature of this study, no multiplicity adjustment of type I errors was used for the analysis of the main outcome. Finally, we were unable to collect data regarding the patients' educational level or health literacy, their occupations, the length of time they had been in Italy, or their legal status, all of which would have allowed a more precise analysis of the possible association between socio-economic factors and COVID-19 outcomes.

Conclusions

We found that the mortality rate among immigrants hospitalised with COVID-19 was lower than that of their Italian counterparts. This difference may be due to the fact that the immigrants were significantly younger and less affected by age-related comorbidities than the Italians. However, we did not expect to find that the outcome of Latin American patients with COVID-19 was not only worse than that of their Italian counterparts, but also worse than that of the patients who had immigrated from other regions. This strongly suggests that there is a need for more tailored preventive initiatives, including more information about the manifestations of COVID-19, the testing process, when and where to seek care, and the available vaccinations. It also indicates the importance of continuing research into the factors that play a role in the disparities of COVID-19-related morbidity and mortality in specific populations affected by socio-economic inequalities.

Availability of data and materials

The datasets used during the current study are available from the corresponding author upon reasonable request.

Abbreviations

COVID-19:

Coronavirus Disease 2019

SARS-CoV-2:

Severe acute respiratory syndrome coronavirus 2

WHO:

World Health Organisation

IQR:

Interquartile range

HR:

Cox proportional hazard ratio

CI:

Confidence interval

AUC-ROC:

Area under the receiver-operating characteristic curve

aHR:

Adjusted hazard ratio

GVIF:

Generalised variance inflation factor

References

  1. Grasselli G, Zangrillo A, Zanella A, et al. Baseline characteristics and outcomes of 1591 patients infected with sars-cov-2 admitted to ICUs of the Lombardy Region Italy. JAMA. 2020;323(16):1574–81.

    Article  CAS  Google Scholar 

  2. COVID-19 situation update for the EU/EEA, as of 16 November 2021. https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea Accessed 6 May 2021

  3. Williamson EJ, Walker AJ, Bhaskaran K, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584(7821):430–6.

    Article  CAS  Google Scholar 

  4. Ioannidis JPA. Infection fatality rate of COVID-19 inferred from seroprevalence data. Bull World Health Organ. 2021;99:19-33F. https://doi.org/10.2471/BLT.20.265892.

    Article  PubMed  Google Scholar 

  5. Drefahl S, Wallace M, Mussino E, et al. A population-based cohort study of socio-demographic risk factors for COVID-19 deaths in Sweden. Nat Commun. 2020;11(1):5097.

    Article  CAS  Google Scholar 

  6. Adorni F, Prinelli F, Bianchi F, et al. Self-reported symptoms of SARS-CoV-2 infection in a Nonhospitalized population in Italy: cross-sectional study of the EPICOVID19 We b-based survey. JMIR Public Health Surveill. 2020;6(3):e21866.

    Article  Google Scholar 

  7. Price-Haywood EG, Burton J, Fort D, Seoane L. Hospitalization and mortality among black patients and white patients with Covid-19. N Engl J Med. 2020;382(26):2534–43.

    Article  CAS  Google Scholar 

  8. Wiley Z, Ross-Driscoll K, Wang Z, Smothers L, Mehta AK, Patzer RE. Racial and Ethnic Differences and Clinical Outcomes of COVID-19 Patients Presenting to the Emergency Department. Clin Infect Dis. 2021; ciab290.

  9. Indseth T, Grøsland M, Arnesen T, et al. COVID-19 among immigrants in Norway, notified infections, related hospitalizations and associated mortality: a register-based study. Scand J Public Health. 2021;49(1):48–56.

    Article  Google Scholar 

  10. Coyer L, Wynberg E, Buster M, et al. Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, the Netherlands. Medrxiv. 2021. https://doi.org/10.1101/2021.03.15.21253597.

    Article  Google Scholar 

  11. Díaz-Menéndez M, Trigo E, Borobia AM, et al. Presenting characteristics and outcomes of migrants in a cohort of hospitalized patients with COVID-19: Does the origin matter? Travel Med Infect Dis. 2021;1:102027.

    Article  Google Scholar 

  12. Norman FF, Crespillo-Andújar C, Pérez-Molina JA, et al. Coronavirus disease 2019 and geographical area of origin. Clin Microbiol Infect. 2020;27(4): 632e1–632.

  13. Giacomelli A, Ridolfo AL, Milazzo L, et al. 30-day mortality in patients hospitalized with COVID-19 during the first wave of the Italian epidemic: a prospective cohort study. Pharmacol Res. 2020;158:104931.

    Article  CAS  Google Scholar 

  14. Giacomelli A, De Falco T, Oreni L, et al. Impact of gender on patients hospitalized for SARS-COV-2 infection: a prospective observational study. J Med Virol. 2021. https://doi.org/10.1002/jmv.26933.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Giacomelli A, Pagani G, Ridolfo AL, et al. Early administration of lopinavir/ritonavir plus hydroxychloroquine does not alter the clinical course of SARS-CoV-2 infection: a retrospective cohort study. J Med Virol. 2021;93(3):1421–7.

    Article  CAS  Google Scholar 

  16. Bonazzetti C, Morena V, Giacomelli A, et al. Unexpectedly high frequency of enterococcal bloodstream infections in coronavirus disease 2019 patients admitted to an Italian ICU: an observational study. Crit Care Med. 2021;49(1):e31–40.

    Article  CAS  Google Scholar 

  17. https://www.who.int/health-topics/obesity Accessed 6 May 2021

  18. COVID-19 Clinical management: living guidance 25 January 2021| COVID-19: Clinical care https://www.who.int/publications/i/item/WHO-2019-nCoV-clinical-2021-1 Accessed 6 May 2021

  19. https://www.cittametropolitana.mi.it/statistica/dati_statistici/cittadini_stranieri.html Accessed 6 May 2021

  20. https://www.istat.it/it/files//2021/02/Censimento-permanente-Lombardia-2019.pdf Accessed 6 May 2021

  21. Pagani G, Conti F, Giacomelli A, et al. Differences in the Prevalence of SARS-CoV-2 infection and access to care between italians and non-Italians in a social-housing neighbourhood of Milan, Italy. Int J Environ Res Public Health. 2021;18(20):10621.

    Article  CAS  Google Scholar 

  22. https://www.epicentro.iss.it/en/coronavirus/sars-cov-2-dashboard. Accessed 6 May 2021.

  23. Migration from Latin America to Europe: Trends and Policy Challenges. https://publications.iom.int/books/mrs-ndeg16-migration-latin-america-europe-trends-and-policy-challenges Accessed 6 May 2021.

  24. Cervantes L, Martin M, Frank MG, et al. Experiences of Latinx Individuals Hospitalized for COVID-19: a qualitative study. JAMA Netw Open. 2021;4(3):e210684.

    Article  Google Scholar 

  25. Rentsch CT, Kidwai-Khan F, Tate JP, et al. Patterns of COVID-19 testing and mortality by race and ethnicity among United States veterans: a nationwide cohort study. PLoS Med. 2020;17(9):e1003379.

    Article  CAS  Google Scholar 

  26. Podewils LJ, Burket TL, Mettenbrink C, et al. Disproportionate Incidence of COVID-19 Infection, Hospitalizations, and Deaths Among Persons Identifying as Hispanic or Latino - Denver, Colorado March-October 2020. MMWR Morb Mortal Wkly Rep. 2020;69(48):1812–6.

    Article  CAS  Google Scholar 

  27. Hacker K, Anies M, Folb BL, Zallman L. Barriers to health care for undocumented immigrants: a literature review. Risk Manag Healthc Policy. 2015;8:175–83.

    Article  Google Scholar 

  28. Uauy R, Albala C, Kain J. Obesity trends in Latin America: transiting from under- to overweight. J Nutr. 2001;131(3):893S-899S.

    Article  CAS  Google Scholar 

  29. Popkin BM, Reardon T. Obesity and the food system transformation in Latin America. Obes Rev. 2018;19(8):1028–64. https://doi.org/10.1111/obr.12694.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Goulão B, Santos O, Carmo ID. The impact of migration on body weight: a review. Cad Saude Publica. 2015;31(2):229–45.

    Article  Google Scholar 

  31. Murphy M, Robertson W, Oyebode O. Obesity in International Migrant Populations [published correction appears in Curr Obes Rep. Curr Obes Rep. 2017;6(3):314–23.

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank all of the medical and paramedical staff involved in the care of COVID-19 patients at ASST-FBF-Sacco.

Funding

None.

Author information

Author notes

  1. Andrea Giacomelli and Anna Lisa Ridolfo contributed equally to the manuscript

Authors and Affiliations

  1. III Infectious Diseases Unit, L. Sacco Hospital, ASST Fatebenefratelli-Sacco, Via G.B. Grassi 74, 20157, Milan, Italy

    Andrea Giacomelli, Anna Lisa Ridolfo, Cecilia Bonazzetti, Letizia Oreni, Federico Conti, Laura Pezzati, Matteo Siano, Cinzia Bassoli, Giacomo Casalini, Marco Schiuma, Alice Covizzi, Laura Milazzo, Massimo Galli & Spinello Antinori

  2. Department of Biomedical and Clinical Sciences DIBIC, Luigi Sacco, Università Di Milano, Milan, Italy

    Cecilia Bonazzetti, Federico Conti, Laura Pezzati, Matteo Siano, Cinzia Bassoli, Giacomo Casalini, Marco Schiuma, Alice Covizzi, Matteo Passerini, Marco Piscaglia, Fabio Borgonovo, Laura Milazzo, Massimo Galli, Antonio Brucato & Spinello Antinori

  3. Infectious Diseases Unit, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy

    Matteo Passerini, Marco Piscaglia, Fabio Borgonovo & Giuliano Rizzardini

  4. Division of Internal Medicine, ASST Fatebenefratelli Sacco, Fatebenefratelli Hospital, Milan, Italy

    Claudia Galbiati & Antonio Brucato

  5. Department of Anesthesiology and Intensive Care, ASST Fatebenefratelli-Sacco, Luigi Sacco Hospital, Milan, Italy

    Riccardo Colombo & Emanuele Catena

  6. School of Medicine, University of the Witwatersrand, Johannesburg, South Africa

    Giuliano Rizzardini

Authors
  1. Andrea Giacomelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anna Lisa Ridolfo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Cecilia Bonazzetti
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Letizia Oreni
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Federico Conti
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Laura Pezzati
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Matteo Siano
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Cinzia Bassoli
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Giacomo Casalini
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Marco Schiuma
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Alice Covizzi
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Matteo Passerini
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Marco Piscaglia
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Fabio Borgonovo
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Claudia Galbiati
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Riccardo Colombo
    View author publications

    You can also search for this author in PubMed Google Scholar

  17. Emanuele Catena
    View author publications

    You can also search for this author in PubMed Google Scholar

  18. Giuliano Rizzardini
    View author publications

    You can also search for this author in PubMed Google Scholar

  19. Laura Milazzo
    View author publications

    You can also search for this author in PubMed Google Scholar

  20. Massimo Galli
    View author publications

    You can also search for this author in PubMed Google Scholar

  21. Antonio Brucato
    View author publications

    You can also search for this author in PubMed Google Scholar

  22. Spinello Antinori
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

ALR and AG designed the study; LO and AG were responsible for the statistical analysis. All of the authors contributed to data collection and interpretation. AG prepared a preliminary draft of the manuscript, which was critically reviewed by ALR and SA. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Spinello Antinori.

Ethics declarations

Ethics approval and consent to participate

The study was approved by our Ethics Committee (Comitato Etico Interaziendale Area 1, Milan, Italy). All patients signed a written informed consent except those on mechanical ventilation upon admission from whom was waived according to the Ethics Committee (Comitato Etico Interaziendale Area 1, Milan, Italy). All methods were carried out in accordance with the Helsinki declaration and the manuscript follows the STROBE checklist for observational studies.

Consent for publication

Not required.

Competing interests

None related to the present manuscript. AG has received consultancy fees from Mylan, and non-financial educational support and a research grant from Gilead. MG received grants, fees for speaker’s bureau, advisory boards and CME activities from BMS, ViiV, MSD, AbbVie, Gilead, Janssen and Roche. GR received grants, fees for speaker’s bureau, advisory boards and CME activities from BMS, ViiV, MSD, AbbVie, Gilead, Janssen and Roche. SA received support for research activities from Pfizer and Merck Sharp & Dome. All other authors have nothing to declare.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Giacomelli, A., Ridolfo, A.L., Bonazzetti, C. et al. Mortality among Italians and immigrants with COVID-19 hospitalised in Milan, Italy: data from the Luigi Sacco Hospital registry. BMC Infect Dis 22, 63 (2022). https://doi.org/10.1186/s12879-022-07051-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12879-022-07051-9

Keywords

BMC Infectious Diseases

ISSN: 1471-2334

Contact us