Skip to main content
Advertisement
  • Loading metrics

Association between HTLV-1/2 infection and COVID-19 severity in a migrant Shipibo-Konibo population in Lima, Peru

  • Fátima Avila Dextre,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru

  • Bryan Morales Álvarez,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru

  • Paulo Aguirre Castañeda,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru

  • Isaac Efrain Alva,

    Roles Conceptualization, Project administration, Resources

    Affiliation School of Public Health, Universidad Peruana Cayetano Heredia, Lima, Peru

  • Giovanni López,

    Roles Investigation

    Affiliation Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru

  • Alvaro Schwalb,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom

  • Eduardo Gotuzzo

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    eduardo.gotuzzo@upch.pe

    Affiliations School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru, Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru

Abstract

Objectives

The migrant community of the Shipibo-Konibo indigenous people in Lima, Peru were extremely vulnerable during the COVID-19 pandemic. Additionally, infection with human T-cell lymphotropic virus type 1 and 2 (HTLV-1/2) is endemic in this population causing immunosuppression. The aim of the study was to describe the association between HTLV-1/2 infection and the clinical severity of COVID-19.

Methods

This was a cross-sectional descriptive study involving a survey of adult Shipibo-Konibo indigenous migrants residing in Cantagallo-Rímac who were identified as suspected or confirmed cases of COVID-19. Blood samples were collected for SARS-CoV-2 antibody and HTLV-1/2 ELISA testing. A confirmatory Western Blot test was performed for those with a positive ELISA test.

Results

A total of 182 individuals were surveyed and sampled. No significant association was found between HTLV-1/2 infection and the clinical severity of COVID-19. The prevalence of HTLV-1/2 was 8.8% (95%CI: 5.0–14.1) with Western Blot. Age was the only statistically significant risk factor for developing a more severe form of COVID-19 (OR: 1.03; 95%CI: 1.00–1.06; p = 0.032).

Conclusions

There was no association found between HTLV-1/2 infection and the clinical severity of COVID-19. The prevalence of HTLV-1/2 infection in the Shipibo-Konibo population is high and warrants continuous monitoring in the advent of other infectious disease outbreaks and the development of HTLV-associated comorbidities.

Background

The Shipibo-Konibo are one of the largest indigenous communities in the Peruvian Amazon, with a population of over 34,000 individuals [1]. This group has traditionally resided along the Ucayali River in the Amazon rainforest in Peru until a huge exodus towards the cities of Pucallpa and Lima began in 1990 [2]. Since then, approximately 300 families have been established in the shantytown of Cantagallo, in the Lima Metropolitan Area [2]. This settlement, with precarious homes and with poor sanitation services, was highly affected by the COVID-19 pandemic [3]. In May 2020, in a mass campaign by the Ministry of Health, 72.5% of Shipibo-Konibo migrants in Cantagallo tested positive for SARS-CoV-2. [4]. Later, the neighbourhood was considered the highest COVID-19 hotspot in the country and the government imposed a military-guarded epidemiological fencing in the area further limiting access to basic needs and healthcare services [3]. Consequently, risk factors for severe COVID-19 were more prominent in this indigenous people compared to the general population.

Apart from the existing social vulnerabilities within this population, a high prevalence of human T-lymphotropic virus (HTLV) 1/2 has been observed [5, 6]. HTLV-1/2 is a greatly oncogenic retrovirus that is often overlooked despite its associated elevated morbidity and mortality [7]. While over 90% of those infected remain asymptomatic, HTLV-1/2 infection can cause an important degree of immunosuppression leading to strongyloidiasis, crusted scabies, and tuberculosis [810]. Thereby, hypotheses were postulated regarding the potential influence of HTLV infection on the severity of COVID-19 [11].

The high prevalence of HTLV-1/2 and the number of cases of COVID-19 reported among the Shipibo-Konibo migrants suggest a possible association between these two viruses. Some studies have already sought to report on the outcomes of the co-infection [12, 13]; however, there is a further need to evaluate this within this neglected population. Thus, we aimed to evaluate risk factors for COVID-19 severity in the Shipibo-Konibo community focusing on the role HTLV-1/2 infection plays in the development of severe COVID-19.

Methods

Study design and setting

We conducted a cross-sectional study in the migrant Shipibo-Konibo community in Cantagallo, district of Rimac, Lima Metropolitan Area between July 2021 and April 2022.

Study population

We recruited adult (>18 years) individuals of the Shipibo-Konibo indigenous people living in Cantagallo. Since at one point the neighbourhood was considered the highest COVID-19 hotspot in the country, all inhabitants met the criteria of a probable or confirmed case of COVID-19, following the definitions of the National Centre for Epidemiology, Prevention and Disease Control (CDC MINSA) [14]. A probable case was defined based on clinical or epidemiological criteria, and a confirmed case was defined based on molecular or rapid testing for SARS-CoV-2 (see Table 1 for complete definitions) [14]. Severity of COVID-19 is divided into mild, moderate, and severe (see Table 2 for severity criteria) [14]. We defined overcrowding for participants as a condition where the number of rooms divided by number of inhabitants in the household was greater than or equal to 3. We excluded individuals participating in clinical trials evaluating the efficacy and safety of COVID-19 vaccine candidates.

Study procedures

Participants were enrolled by convenience sampling due to the geographic accessibility and availability of the residents in Cantagallo. A household visit was conducted to obtain informed consent and administer the questionnaire designed for the study (S1 Questionnaire). The questionnaire covered information on sociodemographic characteristics, clinical history, and items on HTLV-1/2 and COVID-19. At the end of the visit, blood samplings were scheduled in the communal area of Cantagallo at a later date.

Laboratory procedures

Blood was analysed for total antibodies against SARS-CoV-2 (ECLIA, Electro-Chemiluminescence Immunoassay), haematocrit and glucose. An enzyme-linked immunosorbent assay (ELISA) for HTLV-1/2 (Architet HTLV-I+II, Abbott, Germany) was processed in the “Tropicales Lab” at the Instituto de Medicina Tropical Alexander von Humboldt. All serological samples that were positive for HTLV-1/2 underwent a confirmatory Western Blot (WB) test at the Viral Immunology Section, Neuroimmunology and Neurovirology Division (NND) of the National Institute of Health (NIH). The results were shared with the participants in-person and in writing; individuals who tested positive were provided with instructions for further monitoring.

Statistical analysis

Anonymised data was analysed using Stata SE v17.0 (StataCorp., US). Frequencies and percentages were reported for categorical variables and medians with the interquartile range (IQR) for continuous variables. The chi-squared and Fisher’s exact test were applied for comparisons of proportions between two discrete variables. The Mann-Whitney U test was used to compare differences in continuous variables. We used logistic regression to evaluate the association between HTLV-1/2 infection with severe COVID-19, reporting the odds ratio (OR) with their corresponding 95% confidence intervals (CI). The model assumed a binomial distribution of the response variable and employed the logit link function. Details on the model formula are provided in S1 File. Variable selection was guided by clinical and epidemiological relevance, supported by theoretical justifications and prior research findings; no statistical method or algorithm were used to select the logistic regression covariates. The performance of the model was assessed using the area under the ROC curve, which was 0.68, demonstrating the moderate discriminative ability of the model to correctly classify patient outcomes.

Ethical considerations

Study protocol was approved by the Research Ethics Committee of Universidad Peruana Cayetano Heredia (CIE-UPCH) under reference number 204694. The study was also approved by the Northern Lima Directorate of Integrated Health Networks (DIRIS, acronym in Spanish) of the Ministry of Health (Ref. N°-971-2021-MINSA/DIRIS.LN/1). Additionally, meetings were held with the leaders of the Association of Shipibo Artisans Residents in Lima (ASHIREL), the Shipibo-Konibo Urban Community Association of Lima Metropolitan Area (ACUSHIKOLM), the Shipibo Housing Association in Lima (AVSHIL) and the Shipibo-Konibo Community Association of Cantagallo (ACC) where the corresponding approvals for the development of the study were obtained. Written or thumbprint informed consent was obtained from all participants.

Inclusivity in global research

Additional information regarding the ethical, cultural, and scientific considerations specific to inclusivity in global research is included in S1 Checklist.

Results

During the study, 217 participants from the migrant Shipibo-Konibo community in Cantagallo were surveyed. Most of the sampled participants were women (68.1%), and the median age was 34 years (IQR: 25–45). Blood sampling for SARS-CoV-2 and HTLV-1/2 were performed for 182 participants (83.9%). The ELISA results for HTLV-1/2 showed 38 positives. The sera from participants with a positive ELISA test for HTLV (n = 38) were sent to the NIH for confirmation through WB, with 27 samples testing positive. Out of these 27, 12 participants already had a prior HTLV-1/2 diagnosis before the start of the study, thus resulting in a prevalence of 8.8% (95%CI: 5.0–14.1). The results showed HTLV-1 in eight samples (4.7%; 95%CI: 2.1–9.1), HTLV-2 in seven samples (4.1%; 95%CI: 1.7–8.3), four were seroindeterminate, and seven were seronegative. Among those WB HTLV-1/2 positive, the median age was 46 years (IQR: 35–53) (Table 3). None of the participants with WB HTLV-1/2 positive results presented any comorbidities associated with HTLV-1/2 infection, such as tropical spastic paraparesis and adult T-cell leukaemia/lymphoma.

thumbnail
Table 3. Characteristics of the Shipibo-Konibo migrant community in Cantagallo, Lima.

https://doi.org/10.1371/journal.pgph.0003442.t003

The ECLIA for antibodies against SARS-CoV-2 were positive in 145 (79.7%) and negative in 37 (20.3%) participants. More than two-thirds of the participants (70.9%) reported having experienced COVID-19 symptoms since March 2020 (the month when the first case of COVID-19 was confirmed in Peru), with no difference according to the presence of HTLV-1/2 infection. The most frequent symptoms in those with WB HTLV-1/2 positivity were headache (90.5%), myalgia (80.9%), and dysgeusia (76.2%). Regarding the clinical severity of COVID-19 in the WB HTLV-positive group, it was observed that approximately half had a mild form (51.9%). No participants developed a severe form of COVID-19 (Table 4). Surprisingly, among the vaccinated group, there was a higher proportion of individuals that had moderate COVID-19 severity compared to the unvaccinated group.

thumbnail
Table 4. Information on COVID-19 in residents of the Shipibo-Konibo migrant community in Cantagallo, Lima.

https://doi.org/10.1371/journal.pgph.0003442.t004

COVID-19 vaccination began during the study period (August-September 2021), and out of the 73 participants who claimed to have been vaccinated, 64 (87.7%) had positive antibodies against SARS-CoV-2. Concerning the clinical severity of COVID-19 among those with a positive antibody test, it was observed that 38 (26.2%) were asymptomatic, 58 (40.0%) had mild symptoms, and 49 (33.8%) had moderate symptoms (Table 5).

thumbnail
Table 5. Information on the presence of antibodies against COVID-19 in residents of the Shipibo-Konibo migrant community in Cantagallo, Lima.

https://doi.org/10.1371/journal.pgph.0003442.t005

Furthermore, risk factors associated with the clinical severity of COVID-19 were studied. In the multivariate analysis, age was statistically significant, with an adjusted OR of 1.03 (95%CI: 1.00–1.06; p = 0.032) for developing moderate COVID-19 for each unit increase in age. Finally, being infected with HTLV-1/2 (confirmed by WB) was not statistically significant (adjusted OR: 0.55; 95%CI: 0.20–1.50; p = 0.237) (Table 6). As a sensitivity analysis, we evaluated risk factors considering individuals without comorbidities. Similar results were found with age being the only statistically significant risk factor associated with COVID-19 severity (Table 7). Additionally, another sensitivity analysis was conducted where the impact of SARS-CoV-2 vaccination on the severity of COVID-19 was evaluated showing a significant but inverse association than expected (aOR: 2.30; 95%CI: 1.14–4.65; p = 0.020) (S1 File).

thumbnail
Table 6. Risk factors associated with COVID-19 severity in residents of the Shipibo-Konibo migrant community in Cantagallo, Lima.

https://doi.org/10.1371/journal.pgph.0003442.t006

thumbnail
Table 7. Risk factors associated with COVID-19 severity in residents without comorbidities of the Shipibo-Konibo migrant community in Cantagallo, Lima.

https://doi.org/10.1371/journal.pgph.0003442.t007

Discussion

Our study did not find an association between HTLV-1/2 infection and the risk of developing a more severe form of COVID-19. In particular, we identified 27 individuals with HTLV-1/2 infection, of which only seven were classified as moderate COVID-19 cases due to the presence of dyspnoea. Despite the abundance of literature since the first COVID-19 case was reported, there are no conclusive studies on this association [15]. The immunology of the co-infection suggests an increased risk of COVID-19 disease severity due to dysregulated T-cell functioning and increased cytokine release in patients with HTLV-1/2 infection [11]. Isolated cases of the co-infection have been described in Brazil and Japan [12, 16, 17]. A case report from Japan described a severe case of COVID-19 in a 73-year-old patient who had not been previously diagnosed with HTLV-1; the patient died 3-months after symptom onset due to uncontrollable infections while on continuous ventilatory support [12]. On the other hand, another case has been reported in a patient with adult T-cell leukaemia who, despite presenting immunosuppression, did not develop severe pneumonia due to COVID-19 [17]. Furthermore, two patients with known HTLV-1/2 infection in Brazil also presented with mild COVID-19 severity [16]

Other studies have also investigated the coinfection of SARS-CoV-2 and other viruses, finding that this is associated with higher mortality compared to coinfection with bacteria [18]. Particularly, a systematic review demonstrated that HIV-infected patients have a greater risk of SARS-CoV-2 infection and higher mortality from COVID-19 [19]. While both HIV and HTLV-1/2 are closely related retroviruses, the latter has not been prominently featured in the literature since the emergence of COVID-19.

The prevalence of HTLV-1/2 infection was 8.8% in this selected population of Shipibo-Konibo migrants in Cantagallo with a prior diagnosis of COVID-19. However, it is important to note that this sample may not be representative of the entire population as it was done through convenience sampling. In the general Peruvian population, the prevalence of HTLV-1/2 infection has been estimated to be 2.9%; nonetheless, there are varying prevalence rates between regions and populations surveyed [20]. In 2013, Blas et al. reported a prevalence of 9.7% among women of the Shipibo-Konibo indigenous people in the Lima and Ucayali regions [5]. The high prevalence and coexistence of HTLV-1 and HTLV-2 in this particular population is also noteworthy [21].

Seroindeterminate results by WB are defined as an incomplete band pattern to the Gag or Env proteins of HTLV [22]. According to Yao et al., this result may reflect prior exposure to HTLV-1 associated with a partial immune response, meaning an ’immune memory’ of exposure [22]. The presence of 18.4% false positives (ELISA + and WB -) and 10.5% seroindeterminate cases (ELISA + and WB indeterminate) in our sample underscores the importance of using a confirmatory test to avoid diagnostic errors and eliminate seroindeterminate blood products from circulation [23].

Clinical manifestations of COVID-19 are many; although fever, cough, and fatigue are most common [24]. A series of cases showed no difference in the presence of COVID-19 symptoms between patients with HTLV-1/2 infection and the general population [25]. This differs from our findings where the most frequent symptoms included headache, myalgia, dysgeusia, and anosmia. A meta-analysis suggested that the presence of dyspnoea is associated with an unfavourable progression of the disease [26]. This aligns with our study findings, as dyspnoea was observed in less than 50% of our population, and no severe cases were identified. Age was the only variable with statistical significance in developing moderate COVID-19 (OR: 1.03; 95%CI: 1.00–1.06; p = 0.002), similar to the findings in a retrospective cohort study, where individuals aged 60 or over were associated with worse disease outcomes [27].

During our study, the COVID-19 vaccination campaign had begun for the 40-year-old age group in August-September 2021. Even though indigenous communities were considered a vulnerable population and were eligible to be offered the vaccine earlier, this was not the case for the urban migrants in Cantagallo, who were vaccinated at the same time as the general population, according to their age group [28]. This is evident in our study, as only 73 (40.1%) of participants claimed to have been vaccinated. Furthermore, 64 (44.1%) out of the 145 participants who tested positive for COVID-19 antibodies had been vaccinated, which adds uncertainty to whether the test was positive due to SARS-CoV-2 infection, false positivity, or vaccination [29].

This study had several limitations. Firstly, it is likely that we were unable to identify individuals who previously had severe COVID-19 as some may have had lasting complications and some may have died. It is worth noting that there had already been three reported deaths in Cantagallo when the epidemiological fencing took place, and likely leading to more fatalities in the first months of the pandemic [3]. The disparity in age distribution between the HTLV-1/2 positive and negative groups could pose a limitation because the more severe COVID-19 outcomes observed in the HTLV-1/2 positive group might be attributed to their older age rather than not their HTLV-1/2 status. Furthermore, selection bias was introduced due to convenience sampling (e.g., most of our sample were women, as men were encountered less frequently in the community due to work) and due to some participants being sought out for this study as they were known individuals with HTLV-1/2. As a result, 12 (44.4%) out of the 27 WB HTLV-1/2 positive individuals were not new diagnoses, nor randomly selected. Finally, recall bias might have been present as the information collected was based on the participants’ memories on their symptoms since March 2020.

Conclusions

Despite HTLV-1/2 infection not being associated with COVID-19 severity in our study, like other immunosuppressive conditions, it is likely to be a risk factor for developing a more severe course. The importance of larger studies to reach that conclusion is highlighted. The experience of the migrant Shipibo-Konibo indigenous people in Cantagallo during the COVID-19 pandemic should emphasise the need for efficient governmental aid in arduous times. Furthermore, the high prevalence of HTLV-1/2 infection warrants continuous monitoring in the advent of other infectious disease outbreaks and development of HTLV-associated comorbidities.

Supporting information

S1 Checklist. Questionnaire on inclusivity in global research.

https://doi.org/10.1371/journal.pgph.0003442.s004

(DOCX)

Acknowledgments

The authors would like to acknowledge the support of Diana Ancón for the translation into the Shipibo-Konibo language to reinforce the key messages, Aydee Trebejo for the field work with the participants and Dr Steven Jacobson for contributing to the development of the study.

References

  1. 1. Instituto Nacional de Estadística e Informática. Censos Nacionales 2017: XII de Población, VII de Vivienda y III de Comunidades Indígenas. Lima, Peru: INEI; 2017.
  2. 2. Terra Nuova. Diagnóstico situacional de pueblos indígenas amazónicos en Lima Metropolitana. Lima, Peru: Terra Nuova; 2013.
  3. 3. Llanos Zavalaga L, Ramírez Atencio C, Chura-Centeno Y, Pareja-Palomino I, Aguado Taquire H. Brote de COVID-19 en una comunidad indígena urbana en Lima Norte, Perú. Revista Medica Herediana. 2021;32: 234–238.
  4. 4. MINSA. Minsa tomó 656 pruebas rápidas de COVID-19 en la Comunidad Shipibo-Conibo de Cantagallo. In: gob.pe [Internet]. 12 May 2020 [cited 28 Jun 2023]. https://www.gob.pe/institucion/minsa/noticias/152818-minsa-tomo-656-pruebas-rapidas-de-covid-19-en-la-comunidad-shipibo-conibo-de-cantagallo.
  5. 5. Blas MM, Alva IE, García PJ, Cárcamo C, Montano SM, Mori N, et al. High prevalence of human T-lymphotropic virus infection in indigenous women from the peruvian Amazon. PLoS One. 2013;8: e73978. pmid:24040133
  6. 6. Gotuzzo E, González-Lagos E, Verdonck K, Mayer E, Ita F, Clark D. Twenty years of research on HTLV-1 and its medical complications in Peru: general perspectives. Acta Médica Peruana. 2010;27: 196–203.
  7. 7. Martin F, Tagaya Y, Gallo R. Time to eradicate HTLV-1: an open letter to WHO. Lancet. 2018;391: 1893–1894. pmid:29781438
  8. 8. Goon PKC, Bangham CRM. Interference with immune function by HTLV-1. Clin Exp Immunol. 2004;137: 234–236. pmid:15270838
  9. 9. Verdonck K, González E, Van Dooren S, Vandamme A-M, Vanham G, Gotuzzo E. Human T-lymphotropic virus 1: recent knowledge about an ancient infection. Lancet Infect Dis. 2007;7: 266–281. pmid:17376384
  10. 10. Gotuzzo E, Verdonck K, González E, Cabada M. Virus linfotrópico humano de células T tipo 1 (HTLV-1): Una infección endémica en el Perú. Rev Peru Med Exp Salud Publica. 2004;21. http://www.scielo.org.pe/pdf/rins/v21n4/a08v21n4.pdf.
  11. 11. Sajjadi S, Hejazi S, Ravanshad S, Jafarzadeh Esfehani R. Human T-lymphotropic virus type 1 and novel coronavirus disease 2019; More complex than just a simple coinfection. Gene. 2022;834: 146550. pmid:35569772
  12. 12. Enomoto T, Shiroyama T, Hirata H, Amiya S, Adachi Y, Niitsu T, et al. COVID-19 in a human T-cell lymphotropic virus type-1 carrier. Clin Case Rep. 2022;10: e05463. pmid:35223018
  13. 13. Puccioni-Sohler M, Miranda ACJ, da Silva Mello C, Magalhães SM, Dos Santos Rodrigues LC, Signorini DJHP. COVID-19 among People Living with HTLV-1 Infection in Rio de Janeiro, Brazil. Pathogens. 2023;12. pmid:36839514
  14. 14. Centro Nacional de Epidemiología, Prevención y Control de Enfermedades. Epidemiological alert due to the transmission of COVID-19 in Peru (AE-015-2020). Lima, Peru: CDC MINSA; 2020 Apr. https://www.dge.gob.pe/portal/docs/alertas/2020/AE015.pdf.
  15. 15. Araujo A, Martin F. Human T leukaemia Type 1 and COVID-19. Pathogens. 2020;9. pmid:32503140
  16. 16. Carvalho LG, Rocha MEG, Chagas VM, Junior VRS, Aroucha AQM, Correia MCB, et al. HTLV como fator de risco e gravidade ao COVID-19—Relato de dois casos. Hematology, Transfusion and Cell Therapy. 2020;42: 536.
  17. 17. Hosoba R, Makita S, Shiotsuka M, Kobayashi O, Nakano K, Muroya M, et al. COVID-19 pneumonia in a patient with adult T-cell leukemia-lymphoma. J Clin Exp Hematop. 2020;60: 174–178. pmid:32879154
  18. 18. Alosaimi B, Naeem A, Hamed ME, Alkadi HS, Alanazi T, Al Rehily SS, et al. Influenza co-infection associated with severity and mortality in COVID-19 patients. Virol J. 2021;18: 127. pmid:34127006
  19. 19. Ssentongo P, Heilbrunn ES, Ssentongo AE, Advani S, Chinchilli VM, Nunez JJ, et al. Epidemiology and outcomes of COVID-19 in HIV-infected individuals: a systematic review and meta-analysis. Sci Rep. 2021;11: 1–12.
  20. 20. Ramos-Rincón J-M, Ortiz-Martínez S, Vásquez-Chasnamote M-E, de-Miguel-Balsa E, Gamboa-Paredes O-N, Talledo-Albujar M-J, et al. Screening for Human T-Cell Lymphotropic Virus (HTLV) in Pregnant Women in the Peruvian Amazon and Systematic Review with Meta-Analysis of HTLV Infection in Peru. Pathogens. 2021;10. pmid:33668710
  21. 21. Paiva A, Casseb J. Origin and prevalence of human T-lymphotropic virus type 1 (HTLV-1) and type 2 (HTLV-2) among indigenous populations in the Americas. Rev Inst Med Trop Sao Paulo. 2015;57: 1–13. pmid:25651320
  22. 22. Yao K, Hisada M, Maloney E, Yamano Y, Hanchard B, Wilks R, et al. Human T lymphotropic virus types I and II western blot seroindeterminate status and its association with exposure to prototype HTLV-I. J Infect Dis. 2006;193: 427–437. pmid:16388491
  23. 23. Abrams A, Akahata Y, Jacobson S. The prevalence and significance of HTLV-I/II seroindeterminate Western blot patterns. Viruses. 2011;3: 1320–1331. pmid:21994781
  24. 24. Minh LHN, Abozaid A-F, Ha NX, Le Quang L, Gad AG, Tiwari R, et al. Clinical and laboratory factors associated with coronavirus disease 2019 (Covid-19): A systematic review and meta-analysis. Rev Med Virol. 2021;31: e2288. pmid:34472152
  25. 25. Nakazaki J, Gotuzzo E, Mejia F, et al. SARS-CoV-2 (COVID-19) infection in patients with HTLV-1 infection in Peru—case series. J Hum Virol Retrovirol. 2023;10(1):15‒19.
  26. 26. Zheng Z, Peng F, Xu B, Zhao J, Liu H, Peng J, et al. Risk factors of critical & mortal COVID-19 cases: A systematic literature review and meta-analysis. J Infect. 2020;81: e16–e25.
  27. 27. Mejía F, Medina C, Cornejo E, Morello E, Vásquez S, Alave J, et al. Oxygen saturation as a predictor of mortality in hospitalized adult patients with COVID-19 in a public hospital in Lima, Peru. PLoS One. 2020;15: e0244171. pmid:33370364
  28. 28. Ministerio de Salud. Resolución Ministerial No. 488–2021. MINSA; 2021 Apr.
  29. 29. Langa LS, Sallent LV, Díez SR. Interpretación de las pruebas diagnósticas de la COVID-19. FMC—Formación Médica Continuada en Atención Primaria. 2021;28: 167–173.