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1.
Hum Vaccin Immunother ; 19(1): 2170662, 2023 12 31.
Artigo em Inglês | MEDLINE | ID: mdl-36919446

RESUMO

Condyloma acuminatum (CA) is a sexually transmitted disease (STD) caused by human papillomavirus (HPV) infection. It is important to study the prevalence and distribution of HPV genotypes before implementing the HPV vaccination program. Therefore, the aim of this study was to evaluate the epidemiological characteristics of CA cases and the distribution of HPV genotypes in Shandong Province, China. One-to-one questionnaire surveys were conducted on all patients diagnosed with CA in sentinel hospitals from Shandong Province, China. HPV genotypes were determined using the polymerase chain reaction (PCR)-reverse dot blot hybridization method. The study enrolled 1185 patients (870 males and 315 females) and found that CA patients are mainly males and sexually active people between the ages of 20 and 40. Recurrence occurred in 34.7% patients. Among the 880 CA patients who underwent HPV typing, the HPV test positivity rate was 91.4%. In these cases, low-risk (LR) HPV infection was predominant, with an infection rate of 91.3%, while high-risk (HR) HPV genotypes were found in 53.5% patients. The most frequent HPV genotypes encountered were HPV6 (57.8%), HPV11 (37.2%), HPV16 (13.7%), and HPV42 (10.3%). HPV6 and/or HPV11 are the main infections in all patients, and more than half of the patients are coinfected with HR-HPV. However, unlike other regions, HPV42 has a higher prevalence rate among CA patients in Shandong Province and is a nonvaccine HPV genotype. Therefore, regular HPV typing helps to understand the characteristics of specific genotypes and the choice of the best type for vaccine coverage.


Assuntos
Condiloma Acuminado , Papillomavirus Humano , Condiloma Acuminado/epidemiologia , Condiloma Acuminado/virologia , Humanos , China/epidemiologia , Genótipo , Masculino , Feminino , Adulto Jovem , Adulto , Papillomavirus Humano/genética , Papillomavirus Humano/isolamento & purificação , Prevalência
2.
Front Pediatr ; 10: 829201, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35669401

RESUMO

Introduction: Although child and adolescent health is the core of the global health agenda, the cause of death and its expected contribution to life expectancy (LE) among those aged 5-14 are under-researched across countries, especially in low- and middle-income countries (LMICs). Methods: Death rates per 10 years age group including a 5-14-year-old group were calculated by the formula, which used the population and the number of deaths segmented by the cause of death and gender from the 2019 Global Burden of Disease (GBD) study. LE and cause-eliminated LE in 10-year intervals were calculated by using life tables. Results: In 2019, the global mortality rate for children and adolescents aged 5-14 years was 0.522 (0.476-0.575) per 1,000, and its LF was 71.377 years. In different-income regions, considerable heterogeneity remains in the ranking of cause of death aged 5-14 years. The top three causes of death in low-income countries (LICs) are enteric infections [0.141 (0.098-0.201) per 1,000], other infectious diseases [0.103 (0.073-0.148) per 1,000], and neglected tropical diseases and malaria [0.102 (0.054-0.172) per 1,000]. Eliminating these mortality rates can increase the life expectancy of the 5-14 age group by 0.085, 0.062, and 0.061 years, respectively. The top three causes of death in upper-middle income countries (upper MICs) are unintentional injuries [0.066 (0.061-0.072) per 1,000], neoplasm [0.046 (0.041-0.050) per 1,000], and transport injuries [0.045 (0.041-0.049) per 1,000]. Eliminating these mortality rates can increase the life expectancy of the 5-14 age group by 0.045, 0.031, and 0.030 years, respectively. Conclusion: The mortality rate for children and adolescents aged 5-14 years among LMICs remains high. Considerable heterogeneity was observed in the main causes of death among regions. According to the main causes of death at 5-14 years old in different regions and countries at different economic levels, governments should put their priority in tailoring their own strategies to decrease preventable mortality.

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