RESUMO
BACKGROUND: Limited evidence exists on the population attributable fraction (PAF) of cancer cases and deaths in Latin America. In Peru several studies have been published regarding the PAF of various risk factors and their associated diseases. The objective of this study was to estimate the fraction of cancer cases and deaths attributable to potentially modifiable risk factors in Peru in 2018, before the COVID-19 pandemic in the population of 15 years old and older. METHODS: An ecological study was conducted using the prevalence of exposure of the Peruvian population to modifiable risk factors for cancer, the relative risk associated with each factor, and the number of cancer cases and deaths in 2018 as inputs. We used the Parkin formula with a Montecarlo statistical simulation model to calculate the PAF and confidence intervals. The number of new cancer cases and deaths attributed to each risk factor was determined by multiplying the number of cases and deaths in each gender by the PAF of each risk factor. FINDINGS: In Peru, 38.5% of new cases (34.5% in men and 42% in women) and 43.4% of cancer-related deaths (43.4% in men and 43.4% in women) were attributable to modifiable risk factors. The number of cancers attributable was 25,308 (10,439 in men and 14,869 in women) and the number of deaths attributable to cancer was 14,839 (6,953 in men and 7,886 in women). The predominant modifiable risk factors contributing to the highest number of cases and deaths were HPV infection (4,563 cases, 2,409 deaths), current tobacco use (3,348 cases, 2,180 deaths), and helicobacter pylori infection (2,677 cases, 1,873 deaths). Among the risk factors, oncogenic infections constituted the group with the highest PAF (16.6% for cases, 19.2% for deaths) followed by other unhealthy lifestyle factors (14.2% for cases, 16.7% for deaths), tobacco (7.2% for cases, 7.2% for deaths) and ultraviolet radiation (0.5% for cases, 0.3% for deaths). CONCLUSIONS: Prior to the COVID-19 pandemic, 38.5% of cancer cases and 43.4% of cancer-related deaths in Peru were linked to modifiable risk factors in the population of 15 years old and older. Most preventable cancer cases and deaths were related to oncogenic infections, primarily caused by HPV and helicobacter pylori, followed by tobacco and obesity.
Assuntos
COVID-19 , Infecções por Helicobacter , Helicobacter pylori , Neoplasias , Infecções por Papillomavirus , Masculino , Humanos , Feminino , Adolescente , Peru/epidemiologia , Raios Ultravioleta , Infecções por Helicobacter/complicações , Pandemias , Fatores de Risco , Neoplasias/epidemiologia , Neoplasias/etiologia , COVID-19/epidemiologia , COVID-19/complicações , Infecções por Papillomavirus/complicações , Infecções por Papillomavirus/epidemiologiaRESUMO
Background: Endemic pemphigus foliaceus and endemic pemphigus vulgaris are autoimmune dermatologic disorders endemic to the Peruvian Amazon. Objective: To determine the ultrastructural skin alterations of three healthy subjects with anti DSG-1 antibodies in areas endemic to pemphigus foliaceus and pemphigus vulgaris in the Peruvian Amazon. Patients and methods: Case series carried out from data of three clinically healthy subjects positive to anti DSG-1 antibodies, from Peru. This study consists of a sub-analysis of data gathered in a previous study. Results: Ultrastructural results are presented from the skin biopsies of three clinically healthy patients positive to anti-desmoglein 1 (DSG-1) antibodies. High Resolution Optical Microscopy (HROM) showed the absence of acantholysis. Transmission Electron Microscopy (TEM) showed the widening of intercellular space between keratinocytes, the presence of vacuoles in intercellular space with granular material and cytoplasmic vacuolization, loss of desmosome structure, loss of normal distribution among tonofilaments and lateral separation among cells in the stratum basale. Conclusion: According to our results, healthy subjects that present anti-desmoglein 1 antibodies can develop ultrastructural alterations that are visible through transmission electron microscopy but not through conventional optical microscopy.
RESUMO
BACKGROUND AND AIM: Peru is the country with the highest mortality rate from COVID-19 globally, so the analysis of the characteristics of deaths is of national and international interest. The aim was to determine the epidemiological characteristics of deaths from COVID-19 in Peru from 28 March to 21 May 2020. METHODS: Deaths from various sources were investigated, including the COVID-19 Epidemiological Surveillance and the National System of Deaths (SINADEF). In all, 3851 deaths that met the definition of a confirmed case and had a positive result of RT-PCR or rapid test IgM/IgG, were considered for the analysis. We obtained the epidemiological variables and carried out an analysis of time defined as the pre-hospital time from the onset of symptoms to hospitalization, and hospital time from the date of hospitalization to death. RESULTS: Deaths were more frequent in males (72.0%), seniors (68.8%) and residents of the region of Lima (42.7%). In 17.8% of cases, the death occurred out-of-hospital, and 31.4% had some comorbidity. The median of pre-hospital time was 7 days (IQR: 4.0-9.0) and for the hospital time was 5 days (IQR: 3.0-9.0). The multivariable analysis with Poisson regression with robust variance found that the age group, comorbidity diagnosis and the region of origin significantly influenced pre-hospital time; while sex, comorbidity diagnosis, healthcare provider and the region of origin significantly influenced hospital time. CONCLUSION: Deaths occurred mainly in males, seniors and on the coast, with considerable out-of-hospital deaths. Pre-hospital time was affected by age group, the diagnosis of comorbidities and the region of origin; while, hospital time was influenced by gender, the diagnosis of comorbidities, healthcare provider and the region of origin.
RESUMO
BACKGROUND: Peru has some of the worst outcomes worldwide as a result of the SARS-CoV-2 pandemic; it is presumed that this has also affected healthcare workers. This study aimed to establish whether occupation and other non-occupational variables were risk factors for possible reinfection, hospitalization, and mortality from COVID-19 in cohorts of Peruvian healthcare workers infected with SARS-CoV-2. METHODS: Retrospective cohort study. Healthcare workers who presented SARS-CoV-2 infection between March 1, 2020, and August 6, 2021, were included. Occupational cohorts were reconstructed from the following sources of information: National Epidemiological Surveillance System, molecular tests (NETLAB), results of serology and antigen tests (SICOVID-19), National Registry of Health Personnel (INFORHUS), and National Information System of Deaths (SINADEF). The incidence of probable reinfection, hospitalization, and death from COVID-19 was obtained in the cohorts of technicians and health assistants, nursing staff, midwives, dentists, doctors, and other healthcare workers. We evaluated whether the occupation and other non-occupational variables were risk factors for probable reinfection, hospitalization, and death from COVID-19 using log-binomial and probit binomial models, obtaining the adjusted relative risk (RRAJ). RESULTS: 90,398 healthcare workers were included in the study. Most cases were seen in technicians and health assistants (38.6%), and nursing staff (25.6%). 8.1% required hospitalization, 1.7% died from COVID-19, and 1.8% had probable reinfection. A similar incidence of probable reinfection was found in the six cohorts (1.7-1.9%). Doctors had a higher incidence of hospitalization (13.2%) and death (2.6%); however, they were also those who presented greater susceptibility linked to non-occupational variables (age and comorbidities). The multivariate analysis found that doctors (RRAJ = 1.720; CI 95: 1.569-1.886) had a higher risk of hospitalization and that the occupation of technician and health assistant was the only one that constituted a risk factor for mortality from COVID-19 (RRAJ = 1.256; 95% CI: 1.043-1.512). CONCLUSIONS: Peruvian technicians and health assistants would have a higher risk of death from COVID-19 than other healthcare workers, while doctors have a higher incidence of death probably linked to the high frequency of non-occupational risk factors. Doctors present a higher risk of hospitalization independent of comorbidities and age; likewise, all occupations show a similar risk of probable reinfection.
Assuntos
COVID-19 , SARS-CoV-2 , Humanos , COVID-19/epidemiologia , Peru/epidemiologia , Reinfecção , Estudos Retrospectivos , Pessoal de Saúde , HospitalizaçãoRESUMO
Objetivo: Evaluar la factibilidad y validar de la propuesta metodológica para estimar la incidencia y mortalidad por cáncer atribuible a factores de riesgo modificables para el Perú y Latinoamérica. Métodos: Estudio piloto, ecológico a partir de fuentes secundarias. Se buscó y seleccionó los factores de riesgo modificables, prevalencia de exposicion, los riesgos relativos de dichos factores (RR) o una aproximación mediante la razón de posibilidades (OR). La información fue consignada en una ficha de recolección de datos la cual fue validada mediante juicio de expertos. Para el cálculo de la Fracción Atribuible Poblacional (FAP) se ensayó la fórmula planteada por Parkin y se desarrolló un modelo de simulación estadística con el software R. Studio V. 3.6.1. Resultados: En el Perú se cuenta con estudios de prevalencia para la mayoría de factores de riesgo modificables; asimismo, se dispone en Latinoamérica de estudios con estimaciones de OR para varios de los factores; sin embargo hubo que utilizar estudios de los Estados Unidos para los factores restantes. No hallamos estudios nacionales de radiaciones ionizantes ni ultravioleta. Se ensayó la sintaxis del modelo de simulación estadística la cual mostró ser válida y consistente con los resultados de estudios internacionales de FAP encontrándose dentro de los rangos de los estudios publicados. Conclusión: Es factible y viable realizar estudios de FAP de factores de riesgo modificables para cáncer en países de Latinoamérica, particularmente en el Perú, donde se cuenta con la información requerida para su estimación.
Objective: To evaluate the feasibility of the methodological proposal to estimate the incidence and mortality due to cancer attributable to modifiable risk factors for Peru and Latin America. Methods: Pilot study, ecological from secondary sources. Modifiable risk factors, exposure prevalence, relative risks of these factors (RR) or an approximation by means of possibilities ratio (OR) were searched and selected. The information was recorded in a data collection form which was validated by expert judgment. For the calculation of the Population Attributable Fraction (FAP), the formula proposed by Parkin was tested and a statistical simulation model was developed with R. Studio V. 3.6.1 software. Results: In Peru there are prevalence studies for the majority of modifiable risk factors; Likewise, studies with OR estimates for several of the factors are available in Latin America; however, studies from the United States had to be used for the remaining factors. No national studies of ionizing or ultraviolet radiation were found. The syntax of the statistical simulation model was tested, which proved to be valid and consistent with the results of international FAP studies within the ranges of published studies. Conclusion: It is feasible and viable to carry out PAF studies of modifiable risk factors for cancer in Latin American countries, particularly in Peru, where the information required for its estimation is available.