BACKGROUND: The early diagnosis of asymptomatic, acute, and subclinical Leishmania infections remains a challenge for controlling visceral leishmaniasis (VL). Individuals with acute VL represent <1% of Leishmania infections occurring in active transmission endemic areas. In this cross-sectional study with a prospective follow-up, we explored the risk factors associated with acquisition of Leishmania infection in an area with newly identified endemic VL. MATERIALS AND METHODS: Ninety-four households were randomly selected from the study area, which included a population of 213 individuals (10% of the total population of Pé de Areia, Bahia, Brazil). Clinical and epidemiological surveys were prospectively performed to detect cases of asymptomatic infections, acute VL, and subclinical VL, using the leishmanin skin test (LST), and serological response to two Leishmania-specific antigens: rK39 and rK26. RESULTS: Within the 92 households included in the study, the prevalence of Leishmania infection in individuals detected by positive serology was 91/197 (46.2%; 95% CI: 0.3937-0.5316) and by LST was 29/114 (25.4%; 95% CI: 0.1834-0.3414). Reactivity to both antigens was detected in 64/197 individuals (32.5%; 95% CI: 0.2634-0.3931). Among 89 individuals diagnosed with leishmaniasis, we found acute VL in one (1%), subclinical VL in 20 (22.5%), and asymptomatic Leishmania infection in 68 (76.4%) subjects. Use of repellents and bed nets showed no significant protection (prevalence ratio [PR] = 1.01, p = 1.0). Interestingly, individuals residing in houses with a sand backyard had significant protection against Leishmania infection (PR = 1.24, p = 0.049) compared to those with a different type or no backyard. Moreover, the presence of cat or dog at home was also not a risk factor (dog: PR = 1.14, 95% CI: 0.80-1.64; and cat: PR = 1.19, 95% CI: 0.78-1.81). We conclude that in newly discovered areas of transmission of L. infantum infection with sylvatic reservoirs, periodic surveys may be helpful in identifying risk factors for infection and optimizing prevention guidelines.
BACKGROUND: The early diagnosis of asymptomatic, acute, and subclinical Leishmania infections remains a challenge for controlling visceral leishmaniasis (VL). Individuals with acute VL represent <1% of Leishmania infections occurring in active transmission endemic areas. In this cross-sectional study with a prospective follow-up, we explored the risk factors associated with acquisition of Leishmania infection in an area with newly identified endemic VL. MATERIALS AND METHODS: Ninety-four households were randomly selected from the study area, which included a population of 213 individuals (10% of the total population of Pé de Areia, Bahia, Brazil). Clinical and epidemiological surveys were prospectively performed to detect cases of asymptomatic infections, acute VL, and subclinical VL, using the leishmanin skin test (LST), and serological response to two Leishmania-specific antigens: rK39 and rK26. RESULTS: Within the 92 households included in the study, the prevalence of Leishmania infection in individuals detected by positive serology was 91/197 (46.2%; 95% CI: 0.3937-0.5316) and by LST was 29/114 (25.4%; 95% CI: 0.1834-0.3414). Reactivity to both antigens was detected in 64/197 individuals (32.5%; 95% CI: 0.2634-0.3931). Among 89 individuals diagnosed with leishmaniasis, we found acute VL in one (1%), subclinical VL in 20 (22.5%), and asymptomatic Leishmania infection in 68 (76.4%) subjects. Use of repellents and bed nets showed no significant protection (prevalence ratio [PR] = 1.01, p = 1.0). Interestingly, individuals residing in houses with a sand backyard had significant protection against Leishmania infection (PR = 1.24, p = 0.049) compared to those with a different type or no backyard. Moreover, the presence of cat or dog at home was also not a risk factor (dog: PR = 1.14, 95% CI: 0.80-1.64; and cat: PR = 1.19, 95% CI: 0.78-1.81). We conclude that in newly discovered areas of transmission of L. infantum infection with sylvatic reservoirs, periodic surveys may be helpful in identifying risk factors for infection and optimizing prevention guidelines.
Authors: Rupal M Mody; Ines Lakhal-Naouar; Jeffrey E Sherwood; Nancy L Koles; Dutchabong Shaw; Daniel P Bigley; Edgie-Mark A Co; Nathanial K Copeland; Linda L Jagodzinski; Rami M Mukbel; Rebecca A Smiley; Robert C Duncan; Shaden Kamhawi; Selma M B Jeronimo; Robert F DeFraites; Naomi E Aronson Journal: Clin Infect Dis Date: 2019-05-30 Impact factor: 9.079
Authors: A Rodriguez-Cortes; C Martori; A Martinez-Florez; A Clop; M Amills; J Kubejko; J Llull; J M Nadal; J Alberola Journal: Sci Rep Date: 2017-06-13 Impact factor: 4.379