Proportional Stroke Mortality in Espírito Santo, Brazil: A 20-Year Joinpoint Regression Study
Abstract
:1. Introduction
2. Methods
2.1. Study Design and Population
2.2. Data Extraction
2.3. Study Variable
2.4. Statistical Analysis
2.5. Data Quality and Missing Data Handling
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Sacco, R.L.; Kasner, S.E.; Broderick, J.P.; Caplan, L.R.; Connors, J.J.; Culebras, A.; Elkind, M.S.V.; George, M.G.; Hamdan, A.D.; Higashida, R.T.; et al. An Updated Definition of Stroke for the 21st Century: A Statement for Healthcare Professionals from the American Heart Association/American Stroke Association. Stroke 2013, 44, 2064–2089, Erratum in Stroke 2019, 50, e239. [Google Scholar] [CrossRef] [PubMed]
- Feigin, V.L.; Stark, B.A.; Johnson, C.O.; Roth, G.A.; Bisignano, C.; Abady, G.G.; Abbasifard, M.; Abbasi-Kangevari, M.; Abd-Allah, F.; Abedi, V.; et al. Global, Regional, and National Burden of Stroke and Its Risk Factors, 1990–2019: A Systematic Analysis for the Global Burden of Disease Study 2019. Lancet Neurol. 2021, 20, 795–820. [Google Scholar] [CrossRef] [PubMed]
- Langhorne, P.; Fearon, P.; Ronning, O.M.; Kaste, M.; Palomaki, H.; Vemmos, K.; Kalra, L.; Indredavik, B.; Blomstrand, C.; Rodgers, H.; et al. Stroke Unit Care Benefits Patients with Intracerebral Hemorrhage: Systematic Review and Meta-Analysis. Stroke 2013, 44, 3044–3049. [Google Scholar] [CrossRef] [PubMed]
- Garcia, Á.L.; Azevedo De França, F.A.; Dos Santos, T.O.; Cavaca, A.G.; Emerich, T.B.; Dos Santos Neto, E.T. Índices Notícia-Morbidade e Notícia-Morte: Relação Entre o Perfil de Morbimortalidade Da População e a Divulgação Midiática No Estado Do Espírito Santo, Brasil, 2011–2012. RBPS 2019, 21, 35–45. [Google Scholar] [CrossRef]
- Lobo, P.G.G.A.; Zanon, V.D.B.; Lara, D.D.; Freire, V.B.; Nozawa, C.A.; Andrade, J.V.B.D.; Barros, W.C.; Lobo, I.G.A. Epidemiologia Do Acidente Vascular Cerebral Isquêmico No Brasil No Ano de 2019, Uma Análise Sob a Perspectiva Da Faixa Etária/Epidemiology of the Ischemic Cerebrovascular Accident in Brazil in the Year of 2019, an Analysis from an Age Group Perspective. Braz. J. Health Rev. 2021, 4, 3498–3505. [Google Scholar] [CrossRef]
- Oliveira, G.M.M.D.; Brant, L.C.C.; Polanczyk, C.A.; Biolo, A.; Nascimento, B.R.; Malta, D.C.; Souza, M.D.F.M.D.; Soares, G.P.; Xavier, G.F.; Machline-Carrion, M.J.; et al. Estatística Cardiovascular—Brasil 2020. Arq. Bras. Cardiol. 2020, 115, 308–439. [Google Scholar] [CrossRef]
- Moraes, M.D.A.; Jesus, P.A.P.D.; Muniz, L.S.; Costa, G.A.; Pereira, L.V.; Nascimento, L.M.; Teles, C.A.D.S.; Baccin, C.A.; Mussi, F.C. Mortalidade Por Acidente Vascular Cerebral Isquêmico e Tempo de Chegada a Hospital: Análise Dos Primeiros 90 Dias. Rev. Esc. Enferm. USP 2023, 57, e20220309. [Google Scholar] [CrossRef]
- Netto Djaló, A.C.; Florencio De Souza, O.; Maud, H.; Paiva Emidio Cavalcanti, M.; Virginio Pereira, G.D.A.; Ferraz Campos, M.; Luiz Figueiredo, J. Mortality from Cerebral Stroke in the State of Pernambuco, Brazil: An Ecological Study. J. Hum. Growth Dev. 2024, 34, 53–67. [Google Scholar] [CrossRef]
- Roni, G.; Castelo Branco Araújo, A.; Maud, H.; Noll, M.; Macedo De Souza, H., Jr.; Ferraz Campos, M.; Florencio De Souza, O. Mortality from Stroke in Pará, Brazilian Amazon: A Joinpoint Analysis. J. Hum. Growth Dev. 2024, 34, 68–78. [Google Scholar] [CrossRef]
- Lackland, D.T.; Egan, B.M.; Jones, P.J. Impact of Nativity and Race on “Stroke Belt” Mortality. Hypertension 1999, 34, 57–62. [Google Scholar] [CrossRef]
- Available online: https://cidades.ibge.gov.br/brasil/es/pesquisa/53/49645 (accessed on 6 June 2025).
- TabNet Win32 3.3: Mortalidade—Brasil. Available online: http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sim/cnv/obt10br.def (accessed on 6 June 2025).
- Da Silva Paiva, L.; Oliveira, F.R.; De Alcantara Sousa, L.V.; Dos Santos Figueiredo, F.W.; De Sá, T.H.; Adami, F. Decline in Stroke Mortality Between 1997 and 2012 by Sex: Ecological Study in Brazilians Aged 15 to 49 Years. Sci. Rep. 2019, 9, 2962. [Google Scholar] [CrossRef] [PubMed]
- De Souza, O.F.; Araújo, A.C.B.; Vieira, L.B.; Bachur, J.A.; Lopez, A.G.P.; Gonçalves, T.G.; De Abreu, L.C. Sex Disparity in Stroke Mortality among Adults: A Time Series Analysis in the Greater Vitoria Region, Brazil (2000–2021). Epidemiologia 2024, 5, 402–410. [Google Scholar] [CrossRef] [PubMed]
- Kim, H.-J.; Fay, M.P.; Feuer, E.J.; Midthune, D.N. Permutation Tests for Joinpoint Regression with Applications to Cancer Rates. Stat. Med. 2000, 19, 335–351. [Google Scholar] [CrossRef]
- Li, H.Z.; Du, L.B. Application of Joinpoint regression model in cancer epidemiological time trend analysis. Zhonghua Yu Fang Yi Xue Za Zhi 2020, 54, 908–912. [Google Scholar] [CrossRef]
- Ghasemi, F.; Poorolajal, J.; Khazaei, S.; Zahiri, A.; Torkaman Asadi, F. Changes in The Trends of Tuberculosis-Related Indicators in Hamadan Province Using the Join Point Regression Approach From 2011 to 2022. J. Res. Health Sci. 2024, 25, e00641. [Google Scholar] [CrossRef]
- Rea, F.; Pagan, E.; Monzio Compagnoni, M.; Cantarutti, A.; Pugni, P.; Bagnardi, V.; Corrao, G. Joinpoint Regression Analysis with Time-on-Study as Time-Scale. Application to Three Italian Population-Based Cohort Studies. Epidemiol. Biostat. Public Health 2022, 14, e12616-1-e12616-8. [Google Scholar] [CrossRef]
- Stavseth, M.R.; Clausen, T.; Røislien, J. How Handling Missing Data May Impact Conclusions: A Comparison of Six Different Imputation Methods for Categorical Questionnaire Data. SAGE Open Med. 2019, 7, 2050312118822912. [Google Scholar] [CrossRef]
- De Moraes Bernal, H.; De Abreu, L.C.; Pinheiro Bezerra, I.M.; Adami, F.; Takasu, J.M.; Ji Young Suh, J.V.; De Lira Ribeiro, S.; De Sousa Santos, E.F. Incidence of Hospitalization and Mortality Due to Stroke in Young Adults, Residents of Developed Regions in Brazil, 2008–2018. PLoS ONE 2020, 15, e0242248. [Google Scholar] [CrossRef]
- Moreira, P.V.L.; De Arruda Neta, A.D.C.P.; Ferreira, S.S.; Ferreira, F.E.L.L.; De Lima, R.L.F.C.; De Toledo Vianna, R.P.; De Araújo, J.M.; De Alencar Rodrigues, R.E.; Da Silva Neto, J.M.; O’Flaherty, M. Coronary Heart Disease and Stroke Mortality Trends in Brazil 2000–2018. PLoS ONE 2021, 16, e0253639. [Google Scholar] [CrossRef]
- Araujo, A.C.B.; De Souza, O.F.; De Alencar, F.E.C.; Kersanach, B.B.; Feitosa, V.L.; Mozzer, J.S.C.; Brandão, V.A.; Roni, G.M.; De Mello Monteiro, C.B.; De Abreu, L.C. Trends in Mortality Due to Stroke in South America between 1990 and 2019. Epidemiologia 2024, 5, 581–591. [Google Scholar] [CrossRef]
- Lopes, J.M.; Sanchis, G.J.B.; Medeiros, J.L.A.D.; Dantas, F.G. Hospitalização Por Acidente Vascular Encefálico Isquêmico No Brasil: Estudo Ecológico Sobre Possível Impacto Do Hiperdia. Rev. Bras. Epidemiol. 2016, 19, 122–134. [Google Scholar] [CrossRef]
- Feigin, V.L.; Owolabi, M.O.; Feigin, V.L.; Abd-Allah, F.; Akinyemi, R.O.; Bhattacharjee, N.V.; Brainin, M.; Cao, J.; Caso, V.; Dalton, B.; et al. Pragmatic Solutions to Reduce the Global Burden of Stroke: A World Stroke Organization–Lancet Neurology Commission. Lancet Neurol. 2023, 22, 1160–1206. [Google Scholar] [CrossRef] [PubMed]
- Diegoli, H.; Magalhães, P.S.C.; Martins, S.C.O.; Moro, C.H.C.; França, P.H.C.; Safanelli, J.; Nagel, V.; Venancio, V.G.; Liberato, R.B.; Longo, A.L. Decrease in Hospital Admissions for Transient Ischemic Attack, Mild, and Moderate Stroke During the COVID-19 Era. Stroke 2020, 51, 2315–2321. [Google Scholar] [CrossRef] [PubMed]
- Velek, P.; Splinter, M.J.; Ikram, M.K.; Ikram, M.A.; Leening, M.J.G.; Van Der Lei, J.; Olde Hartman, T.; Peters, L.L.; Tange, H.; Rutten, F.H.; et al. Changes in the Diagnosis of Stroke and Cardiovascular Conditions in Primary Care During the First 2 COVID-19 Waves in the Netherlands. Neurology 2022, 98, e564–e572. [Google Scholar] [CrossRef] [PubMed]
- Aguiar De Sousa, D.; Sandset, E.C.; Elkind, M.S.V. The Curious Case of the Missing Strokes During the COVID-19 Pandemic. Stroke 2020, 51, 1921–1923. [Google Scholar] [CrossRef]
- Stein, L.K.; Mayman, N.A.; Dhamoon, M.S.; Fifi, J.T. The Emerging Association between COVID-19 and Acute Stroke. Trends Neurosci. 2021, 44, 527–537. [Google Scholar] [CrossRef]
- Sharma, R.; Kuohn, L.R.; Weinberger, D.M.; Warren, J.L.; Sansing, L.H.; Jasne, A.; Falcone, G.; Dhand, A.; Sheth, K.N. Excess Cerebrovascular Mortality in the United States During the COVID-19 Pandemic. Stroke 2021, 52, 563–572. [Google Scholar] [CrossRef]
- Siqueira, A.D.S.E.; Siqueira-Filho, A.G.D.; Land, M.G.P. Analysis of the Economic Impact of Cardiovascular Diseases in the Last Five Years in Brazil. Arq. Bras. Cardiol. 2017, 109, 39–46. [Google Scholar] [CrossRef]
- Yousufuddin, M.; Young, N. Aging and Ischemic Stroke. Aging 2019, 11, 2542–2544. [Google Scholar] [CrossRef]
- Hunter, E.; Kelleher, J.D. Age Specific Models to Capture the Change in Risk Factor Contribution by Age to Short Term Primary Ischemic Stroke Risk. Front. Neurol. 2022, 13, 803749. [Google Scholar] [CrossRef]
- Vagner De Lucena Santos, E.; Esther Barreto, Y.; Ferraz Campos, M.; Ely Bortolin Da Silva, V.; Florêncio De Souza, O.; Carlos De Abreu, L. Temporal Trend of the Mortality Coefficient and Proportional Mortality Due to Stroke in the Populations of the States of Rio Grande Do Norte and Paraíba, in Northeastern Brazil. J. Hum. Growth Dev. 2025, 35, 46–55. [Google Scholar] [CrossRef]
- Azambuja, M.I.R.; Foppa, M.; Maranhão, M.F.D.C.; Achutti, A.C. Impacto Econômico Dos Casos de Doença Cardiovascular Grave No Brasil: Uma Estimativa Baseada Em Dados Secundários. Arq. Bras. Cardiol. 2008, 91, 163–171. [Google Scholar] [CrossRef]
- Phan, H.T.; Blizzard, C.L.; Reeves, M.J.; Thrift, A.G.; Cadilhac, D.; Sturm, J.; Heeley, E.; Otahal, P.; Konstantinos, V.; Anderson, C.; et al. Sex Differences in Long-Term Mortality After Stroke in the INSTRUCT (INternational STRoke oUtComes sTudy): A Meta-Analysis of Individual Participant Data. Circ. Cardiovasc. Qual. Outcomes 2017, 10, e003436. [Google Scholar] [CrossRef]
- Yoon, C.W.; Bushnell, C.D. Stroke in Women: A Review Focused on Epidemiology, Risk Factors, and Outcomes. J. Stroke 2023, 25, 2–15. [Google Scholar] [CrossRef]
- Ge, R.; You, S.; Zheng, D.; Zhang, Z.; Cao, Y.; Chang, J. Global, Regional, and National Temporal Trends of Diet-Related Ischemic Stroke Mortality and Disability from 1990 to 2019. Int. J. Stroke 2024, 19, 665–675. [Google Scholar] [CrossRef]
- Chalmers, J.; Arima, H.; Hata, J. Cost-Effective Reduction in Stroke: Lessons from the Japanese Hypertension Detection and Control Program. J. Hypertens. 2012, 30, 1706–1707. [Google Scholar] [CrossRef]
- Feigin, V.; Brainin, M. Reducing the Burden of Stroke: Opportunities and Mechanisms. Int. J. Stroke 2019, 14, 761–762. [Google Scholar] [CrossRef]
- The Lancet Neurology. Tackling the Burden of Stroke with Primordial Prevention. Lancet Neurol. 2022, 21, 1061. [Google Scholar] [CrossRef]
- George, M.G. CDC Grand Rounds: Public Health Strategies to Prevent and Treat Strokes. MMWR Morb. Mortal Wkly. Rep. 2017, 66, 479–481. [Google Scholar] [CrossRef]
- Feigin, V.L.; Krishnamurthi, R.V.; Parmar, P.; Norrving, B.; Mensah, G.A.; Bennett, D.A.; Barker-Collo, S.; Moran, A.E.; Sacco, R.L.; Truelsen, T.; et al. Update on the Global Burden of Ischemic and Hemorrhagic Stroke in 1990–2013: The GBD 2013 Study. Neuroepidemiology 2015, 45, 161–176. [Google Scholar] [CrossRef]
- Cahuana-Hurtado, L.; Gómez-Dantés, H.; De La Cruz-Góngora, V.; Chiquete, E.; Cantú-Brito, C. Unveiling the Burden of Miscoding and Misclassification in Stroke Mortality: Analysis of Multiple Cause-of-Death Data in Mexico. Neuroepidemiology 2023, 57, 284–292. [Google Scholar] [CrossRef] [PubMed]
All | Sex | Age Group | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Male | Female | 20–29 Years | 30–39 Years | 40–49 Years | 50–59 Years | 60–69 Years | 70–79 Years | 80 Years or + | ||
n | n | n | n | n | n | n | n | n | n | |
2000 | 1482 | 808 | 674 | 10 | 48 | 159 | 226 | 314 | 361 | 364 |
2001 | 1417 | 763 | 653 | 6 | 49 | 155 | 204 | 262 | 376 | 365 |
2002 | 1497 | 816 | 681 | 14 | 42 | 127 | 193 | 308 | 413 | 400 |
2003 | 1496 | 796 | 700 | 14 | 41 | 145 | 198 | 273 | 421 | 404 |
2004 | 1419 | 760 | 658 | 10 | 33 | 133 | 207 | 285 | 381 | 370 |
2005 | 1222 | 601 | 621 | 8 | 27 | 104 | 168 | 226 | 340 | 349 |
2006 | 1375 | 710 | 664 | 11 | 33 | 106 | 186 | 249 | 374 | 416 |
2007 | 1298 | 665 | 633 | 10 | 36 | 115 | 156 | 242 | 344 | 395 |
2008 | 1263 | 631 | 632 | 8 | 39 | 101 | 177 | 231 | 313 | 394 |
2009 | 1231 | 638 | 593 | 13 | 28 | 110 | 155 | 197 | 339 | 389 |
2010 | 1363 | 716 | 647 | 7 | 32 | 84 | 175 | 235 | 341 | 489 |
2011 | 1257 | 645 | 612 | 9 | 30 | 88 | 181 | 210 | 316 | 423 |
2012 | 1209 | 610 | 599 | 6 | 31 | 109 | 160 | 200 | 301 | 402 |
2013 | 1132 | 598 | 534 | 10 | 27 | 66 | 154 | 190 | 295 | 390 |
2014 | 1095 | 564 | 531 | 10 | 22 | 70 | 147 | 171 | 266 | 409 |
2015 | 1059 | 545 | 514 | 7 | 19 | 67 | 143 | 195 | 242 | 386 |
2016 | 1044 | 540 | 504 | 7 | 21 | 80 | 119 | 198 | 268 | 351 |
2017 | 1064 | 555 | 509 | 5 | 28 | 62 | 153 | 192 | 221 | 403 |
2018 | 1256 | 623 | 632 | 8 | 25 | 60 | 149 | 215 | 323 | 476 |
2019 | 1422 | 698 | 723 | 6 | 18 | 63 | 155 | 280 | 350 | 550 |
2020 | 1389 | 700 | 689 | 11 | 27 | 58 | 175 | 291 | 324 | 503 |
2021 | 1399 | 710 | 689 | 8 | 30 | 77 | 144 | 284 | 341 | 515 |
All | Sex | Age Group | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Male | Female | 20–29 Years | 30–39 Years | 40–49 Years | 50–59 Years | 60–69 Years | 70–79 Years | 80 Years or + | ||
PM | PM | PM | PM | PM | PM | PM | PM | PM | PM | |
2000 | 9.47 | 8.46 | 11.04 | 0.8 | 3.6 | 8.5 | 11.3 | 11.1 | 11.3 | 11.3 |
2001 | 8.96 | 8.00 | 10.42 | 0.5 | 3.7 | 8.6 | 9.9 | 9.8 | 11.5 | 10.5 |
2002 | 9.46 | 8.53 | 10.89 | 1.1 | 3.2 | 6.9 | 9.7 | 11.2 | 12.4 | 12.0 |
2003 | 8.99 | 7.95 | 10.57 | 1.1 | 3.2 | 7.7 | 9.8 | 9.6 | 11.9 | 10.6 |
2004 | 8.35 | 7.38 | 9.84 | 0.8 | 2.6 | 6.8 | 9.1 | 10.0 | 10.5 | 10.0 |
2005 | 7.17 | 5.83 | 9.22 | 0.6 | 2.1 | 5.9 | 7.2 | 8.0 | 9.3 | 9.0 |
2006 | 7.66 | 6.66 | 9.11 | 0.8 | 2.5 | 5.5 | 7.7 | 8.8 | 9.8 | 9.7 |
2007 | 7.22 | 6.15 | 8.82 | 0.7 | 2.7 | 5.8 | 6.3 | 8.5 | 9.2 | 9.5 |
2008 | 6.72 | 5.63 | 8.33 | 0.5 | 2.7 | 5.2 | 6.8 | 7.9 | 8.2 | 8.6 |
2009 | 6.53 | 5.76 | 7.63 | 0.8 | 2.2 | 5.8 | 5.9 | 6.6 | 8.6 | 8.5 |
2010 | 6.92 | 6.12 | 8.09 | 0.5 | 2.4 | 4.4 | 6.5 | 7.7 | 8.5 | 9.3 |
2011 | 6.33 | 5.54 | 7.45 | 0.7 | 2.2 | 4.7 | 6.6 | 6.7 | 7.9 | 7.8 |
2012 | 6.01 | 5.16 | 7.23 | 0.5 | 2.4 | 5.8 | 5.7 | 6.2 | 7.4 | 7.3 |
2013 | 5.62 | 5.09 | 6.37 | 0.8 | 2.1 | 3.6 | 5.5 | 5.8 | 7.3 | 6.8 |
2014 | 5.35 | 4.79 | 6.11 | 0.8 | 1.7 | 4.0 | 5.2 | 5.3 | 6.5 | 6.8 |
2015 | 5.07 | 4.56 | 5.77 | 0.7 | 1.5 | 4.1 | 5.0 | 5.6 | 5.8 | 6.1 |
2016 | 4.86 | 4.39 | 5.49 | 0.7 | 1.7 | 4.6 | 4.1 | 5.2 | 6.1 | 5.4 |
2017 | 4.68 | 4.24 | 5.27 | 0.5 | 2.2 | 3.6 | 5.3 | 4.8 | 5.0 | 5.5 |
2018 | 5.66 | 4.98 | 6.53 | 0.9 | 2.2 | 3.7 | 5.1 | 5.3 | 7.1 | 6.8 |
2019 | 6.13 | 5.34 | 7.13 | 0.6 | 1.7 | 3.8 | 5.3 | 6.4 | 7.3 | 7.4 |
2020 | 4.98 | 4.41 | 5.74 | 1.1 | 2.1 | 2.8 | 4.9 | 5.2 | 5.5 | 6.0 |
2021 | 4.44 | 4.07 | 4.91 | 0.8 | 2.0 | 3.1 | 3.5 | 4.3 | 5.1 | 5.6 |
Average Annual Percentage Change (CI95%) | p–Value | Interpretation | |
---|---|---|---|
All | −3.7 (−5.8; −1.7) | ≤0.001 | Decrease |
Sex | |||
Male | −3.0 (−4.2; −1.7) | ≤0.001 | Decrease |
Female | −3.9 (−5.6; −2.2) | ≤0.001 | Decrease |
Age Group | |||
20 to 29 years | −0.3 (−2.2; 1.7) | 0.780 | Stability |
30 to 39 years | −2.4 (−4.2; −0.5) | 0.012 | Decrease |
40 to 49 years | −4.5 (−5.3; −3.8) | ≤0.001 | Decrease |
50 to 59 years | −4.9 (−8.4; −1.4) | 0.007 | Decrease |
60 to 69 years | −4.1 (−4.7; −3.4) | ≤0.001 | Decrease |
70 to 79 years | −3.9 (−4.6; −3.2) | ≤0.001 | Decrease |
80 years or + | −3.4 (−5.9; −0.9) | 0.009 | Decrease |
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Mpuhua, C.A.M.; Souza, O.F.d.; Daboin, B.E.G.; Bezerra, I.M.P.; Na Blei, M.; Sarti, T.D.; Silva, V.E.B.d.; Abreu, L.C.d. Proportional Stroke Mortality in Espírito Santo, Brazil: A 20-Year Joinpoint Regression Study. Epidemiologia 2025, 6, 28. https://doi.org/10.3390/epidemiologia6020028
Mpuhua CAM, Souza OFd, Daboin BEG, Bezerra IMP, Na Blei M, Sarti TD, Silva VEBd, Abreu LCd. Proportional Stroke Mortality in Espírito Santo, Brazil: A 20-Year Joinpoint Regression Study. Epidemiologia. 2025; 6(2):28. https://doi.org/10.3390/epidemiologia6020028
Chicago/Turabian StyleMpuhua, Casanova André Motopa, Orivaldo Florencio de Souza, Blanca Elena Guerrero Daboin, Italla Maria Pinheiro Bezerra, Marcelino Na Blei, Thiago Dias Sarti, Vithor Ely Bortolin da Silva, and Luiz Carlos de Abreu. 2025. "Proportional Stroke Mortality in Espírito Santo, Brazil: A 20-Year Joinpoint Regression Study" Epidemiologia 6, no. 2: 28. https://doi.org/10.3390/epidemiologia6020028
APA StyleMpuhua, C. A. M., Souza, O. F. d., Daboin, B. E. G., Bezerra, I. M. P., Na Blei, M., Sarti, T. D., Silva, V. E. B. d., & Abreu, L. C. d. (2025). Proportional Stroke Mortality in Espírito Santo, Brazil: A 20-Year Joinpoint Regression Study. Epidemiologia, 6(2), 28. https://doi.org/10.3390/epidemiologia6020028