The Chikungunya virus: A reemerging cause of acute febrile illness in the high jungle of northern Peru.

BACKGROUND: The Chikungunya virus (CHIKV) is an emerging arthropod-borne virus (arbovirus) that causes undifferentiated acute febrile illness. Cases of CHIKV may be under-reported in Peru, given the various difficulties in diagnosing it, such as lack of diagnostic tests in remote areas, the passive nature of epidemiological surveillance, and co-circulation of other arthropod-borne pathogens. Therefore, a study was conducted in the high jungle of northern Peru to determine the prevalence of CHIKV among febrile patients and describe their clinical characteristics. METHODS: A cross-sectional study was conducted in the province of Jaen, Cajamarca, located in the high jungle of northern Peru. Patients attending primary healthcare centers within Cajamarca's Regional Health Directorate were enrolled. The study took place from June 2020 through June 2021. Patients were eligible if they sought outpatient healthcare for a clinical diagnosis of acute febrile illness (AFI). Serum samples were collected from all patients, and the diagnosis of CHIKV was determined using real-time RT-PCR, as well as the detection of IgM antibodies by ELISA. A logistic regression model was employed to identify the risk factors for CHIKV, and the odds ratios (ORs) were calculated, along with their corresponding 95% confidence intervals (95% CI). RESULTS: A total of 1 047 patients with AFI were included during the study period. CHIKV was identified in 130 patients of 1 047 (12.4%). Among the CHIKV positive cases, 84 of 130 (64.6%) were diagnosed by RT-PCR, 42 of 130 (32.3%) by IgM ELISA detection, and 4 of 130 (3.1%) by both assays. The majority of patients with CHIKV infection fell within the 18-39 years age group (50.0%), followed by the 40-59 years age group (23.9%) and those with 60 years or older (10.8%). The most common clinical symptoms observed in patients with CHIKV infection were headache (85.4%), myalgias (72.3%), and arthralgias (64.6%). The highest number of positive CHIKV cases occurred in May (23.1%), followed by March (20.0%) and February (13.8%) of 2021. CONCLUSION: The study reports a considerable frequency of CHIKV infections among patients with AFI from the high jungle of northern Peru. These findings highlight the importance of recognizing CHIKV as an ongoing pathogen with continuous transmission in various areas of Peru. It is crucial to enhance epidemiological surveillance by implementing reliable diagnostic techniques, as the clinical symptoms of CHIKV infection can be nonspecific.

Factores asociados a letalidad por COVID-19 en un hospital de la región Cajamarca en Perú / Factors associated with COVID-19 lethality in a hospital in the Cajamarca region in Peru

RESUMEN Objetivo. Identificar las características clínicas y epidemiológicas relacionadas a la letalidad en pacientes hospitalizados por COVID-19 en el Hospital Simón Bolívar de Cajamarca, durante junio-agosto de 2020. Materiales y métodos. Cohorte retrospectiva, con información recolectada de historias clínicas y sistemas oficiales de vigilancia epidemiológica (NOTIWEB, SISCOVID y SINADEF), sobre pacientes hospitalizados con diagnóstico confirmado de COVID-19. Se recolectó información sobre factores sociodemográficos y clínicos, considerando como desenlace el egreso (fallece/sobrevive) y los días de hospitalización. Resultados. La tasa de letalidad intrahospitalaria fue 39,6%, encontrándose diferencias significativas entre el tiempo de hospitalización y la condición de egreso en las personas mayores de 60 años (p<0,001). La edad mayor de 60 años (HR: 2,87; IC95%: 1,76-4,68),) solicitud de cama UCI no atendida (HR: 3,49; IC95%: 2,02-6,05), saturación de oxígeno menor a 80% al ingreso (HR: 2,73; IC95%: 1,35-5,53) y el uso de ivermectina (HR: 1,68; IC95% 1,06-2,68) fueron factores asociados a letalidad. El modelo de Machine Learning (ML) elegido consideró que las variables con mayor importancia fueron la saturación de oxígeno, la edad mayor de 60 años, tiempo de hospitalización y tiempo de síntomas. Conclusión. Los factores que podrían incrementar la letalidad en pacientes hospitalizados por COVID-19 fueron la edad, saturación de oxígeno menor a 80%, uso de ivermectina en la terapéutica hospitalaria y la solicitud no atendida de camas UCI. Futuros estudios con una mejor representatividad podrían confirmar estas posibles relaciones a nivel regional o nacional.

ABSTRACT Objective. To identify the clinical and epidemiological characteristics related to lethality in patients hospitalized for COVID-19 at the Simón Bolívar Hospital in Cajamarca, during June-August 2020. Materials and Methods. This was a retrospective cohort, that used information collected from clinical records and official epidemiological surveillance systems (NOTIWEB, SISCOVID and SINADEF), on hospitalized patients with confirmed COVID-19 diagnosis. Information was collected on sociodemographic and clinical factors, considering discharge (death/survival) and days of hospitalization as outcomes. Results. The in-hospital fatality rate was 39.6%, and significant differences were found between hospitalization time and status at discharge in people over 60 years of age (p<0.001). Age older than 60 years (HR: 2.87; 95% CI: 1.76-4.68),) unattended ICU bed request (HR: 3.49; 95% CI: 2.02-6.05), oxygen saturation less than 80% at admission (HR: 2.73; 95% CI: 1.35-5.53) and the use of ivermectin (HR: 1.68; 95%CI 1.06-2.68) were factors associated with lethality. The chosen ML model considered that the most important variables were oxygen saturation, age over 60 years, time of hospitalization and time of the onset of symptoms. Conclusion. The factors that could increase lethality in patients hospitalized for COVID-19 were age, oxygen saturation less than 80%, use of ivermectin as part of hospital treatment and unattended request for ICU beds. Future studies with better representativeness could confirm these possible relationships at the regional or national level.

Clinical characteristics and molecular detection of Bordetella pertussis in hospitalized children with a clinical diagnosis of whooping cough in Peru.

BACKGROUND AND OBJECTIVES: Pertussis is an infectious disease caused by the Gram-negative bacterium Bordetella pertussis. In Peru, actual public health programs indicate that vaccination against B. pertussis must be mandatory and generalized, besides all detected cases must be reported. The objective of this study was to determine the prevalence of B. pertussis among children under five years of age with a presumptive diagnosis of whopping cough in Cajamarca, a region located in northern Peru. MATERIALS AND METHODS: The population of this cross-sectional study were children under 5 years old hospitalized as presumptive cases of pertussis during December 2017 to December 2018. The nasopharyngeal samples were analyzed by real-time PCR for the detection of B. pertussis. RESULTS: B. pertussis was identified as PCR + in 42.3% of our sample (33/78). The clinical presentation that was observed most frequently includes paroxysmal coughing (97%), difficulty breathing (69.7%), cyanosis (72.7%) and post-tussive emesis (60.6%). Additionally, pneumonia was the most observed complication (33.3%). Four of the patients with PCR+ for B. pertussis presented only lymphocytosis, five only leukocytosis, two patients with decreased leukocytosis and lymphocytes and only one patient with leukopenia and relative lymphocytosis. There was a percentage of 84.8% of unvaccinated children in the PCR+ group. Finally, the mother was the most frequent symptom carrier (18.2%). CONCLUSION: In conclusion, in the studied population there is a high rate of PCR+ cases for B. pertussis. Laboratory values may show leukopenia or lymphopenia in patients with pertussis. It is necessary to use appropriate laboratory diagnostic tests in all infants with respiratory symptoms for B. pertussis. Since, the clinical diagnosis overestimates the diagnosis of pertussis.

Factors associated with COVID-19 lethality in a hospital in the Cajamarca region in Peru. / Factores asociados a letalidad por COVID-19 en un hospital de la región Cajamarca en Perú.

OBJECTIVE.: To identify the clinical and epidemiological characteristics related to lethality in patients hospitalized for COVID-19 at the Simón Bolívar Hospital in Cajamarca, during June-August 2020. MATERIALS AND METHODS.: This was a retrospective cohort, that used information collected from clinical records and official epidemiological surveillance systems (NOTIWEB, SISCOVID and SINADEF), on hospitalized patients with confirmed COVID-19 diagnosis. Information was collected on sociodemographic and clinical factors, considering discharge (death/survival) and days of hospitalization as outcomes. RESULTS.: The in-hospital fatality rate was 39.6%, and significant differences were found between hospitalization time and status at discharge in people over 60 years of age (p<0.001). Age older than 60 years (HR: 2.87; 95% CI: 1.76-4.68),) unattended ICU bed request (HR: 3.49; 95% CI: 2.02-6.05), oxygen saturation less than 80% at admission (HR: 2.73; 95% CI: 1.35-5.53) and the use of ivermectin (HR: 1.68; 95%CI 1.06-2.68) were factors associated with lethality. The chosen ML model considered that the most important variables were oxygen saturation, age over 60 years, time of hospitalization and time of the onset of symptoms. CONCLUSION.: The factors that could increase lethality in patients hospitalized for COVID-19 were age, oxygen saturation less than 80%, use of ivermectin as part of hospital treatment and unattended request for ICU beds. Future studies with better representativeness could confirm these possible relationships at the regional or national level.

OBJETIVO.: Identificar las características clínicas y epidemiológicas relacionadas a la letalidad en pacientes hospitalizados por COVID-19 en el Hospital Simón Bolívar de Cajamarca, durante junio-agosto de 2020. MATERIALES Y MÉTODOS.: Cohorte retrospectiva, con información recolectada de historias clínicas y sistemas oficiales de vigilancia epidemiológica (NOTIWEB, SISCOVID y SINADEF), sobre pacientes hospitalizados con diagnóstico confirmado de COVID-19. Se recolectó información sobre factores sociodemográficos y clínicos, considerando como desenlace el egreso (fallece/sobrevive) y los días de hospitalización. RESULTADOS.: La tasa de letalidad intrahospitalaria fue 39,6%, encontrándose diferencias significativas entre el tiempo de hospitalización y la condición de egreso en las personas mayores de 60 años (p<0,001). La edad mayor de 60 años (HR: 2,87; IC95%: 1,76-4,68),) solicitud de cama UCI no atendida (HR: 3,49; IC95%: 2,02-6,05), saturación de oxígeno menor a 80% al ingreso (HR: 2,73; IC95%: 1,35-5,53) y el uso de ivermectina (HR: 1,68; IC95% 1,06-2,68) fueron factores asociados a letalidad. El modelo de Machine Learning (ML) elegido consideró que las variables con mayor importancia fueron la saturación de oxígeno, la edad mayor de 60 años, tiempo de hospitalización y tiempo de síntomas. CONCLUSIÓN.: Los factores que podrían incrementar la letalidad en pacientes hospitalizados por COVID-19 fueron la edad, saturación de oxígeno menor a 80%, uso de ivermectina en la terapéutica hospitalaria y la solicitud no atendida de camas UCI. Futuros estudios con una mejor representatividad podrían confirmar estas posibles relaciones a nivel regional o nacional.

Gut microbiota in hospitalized children with acute infective gastroenteritis caused by virus or bacteria in a regional Peruvian hospital.

BACKGROUND: Acute infective gastroenteritis (AIG) is a leading cause of mortality in children worldwide. In Peru, more than 40% of cases of AIG occurring in children under 5 years old. The disruption of the gut microbiota can increase risk for several health complications especially in patients with gastric infections caused by viruses or bacteria. OBJECTIVE: The main objective of this study was to describe the prevalence of 13 representative bacteria from the gut microbiota (GM) in stools samples from children under 5 years of age with acute infective gastroenteritis. RESULTS: The most commonly isolated bacteria from the GM were Firmicutes (63.2% 74/117) Bacteriodetes (62.4%; 73/117), Lactobacillus (59.8%; 70/117), Prevotella (57.2%; 67/117), Proteobacterium (53.8%; 63/117), regardless of the etiological agent responsible for the AIG. Interestingly, despite the high prevalence of Firmicutes, Bacteroidetes, Lactobacillus and Prevotella across all samples, a visible reduction of these agents was observed especially among patients with a single bacterial infection or even bacteria-bacteria coinfections when compared to viral etiologies. Patients with exclusive or mixed breastfeeding registered the highest amount of gut microbiota bacteria, in contrast to infants who received formula or were not breastfed.

Unidentified dengue serotypes in DENV positive samples and detection of other pathogens responsible for an acute febrile illness outbreak 2016 in Cajamarca, Peru.

OBJECTIVE: To describe the prevalence of dengue virus serotypes, as well as other viral and bacterial pathogens that cause acute febrile illness during an outbreak in Cajamarca in 2016. RESULTS: Dengue virus (DENV) was the most frequent etiologic agent detected in 25.8% of samples (32/124), followed by Rickettsia spp. in 8.1% (10/124), Zika virus in 4.8% (6/124), Chikungunya virus 2.4% (3/124) and Bartonella bacilliformis 1.6% (2/124) cases. No positive cases were detected of Oropouche virus and Leptospira spp. DENV serotypes identification was only achieved in 23% of the total positive for DENV, two samples for DENV-2 and four samples for DENV-4. During the 2016 outbreak in Cajamarca-Peru, it was observed that in a large percentage of positive samples for DENV, the infecting serotype could not be determined by conventional detection assays. This represents a problem for the national surveillance system and for public health due to its epidemiological and clinical implications. Other viral and bacterial pathogens responsible for acute febrile syndrome were less frequently identified.

An emerging public health threat: Mayaro virus increases its distribution in Peru.

BACKGROUND: The infection caused by Mayaro virus (MAYV), which presents as an acute febrile illness, is considered a neglected tropical disease. The virus is an endemic and emerging pathogen in South America and the Caribbean, responsible for occasional and poorly characterized outbreaks. Currently there is limited information about its expansion and risk areas. METHODS: A cross-sectional study was performed in 10 urban primary care health centers in the Cajamarca region of Peru from January to June 2017. A total of 359 patients with suspected febrile illness were assessed. RNA was extracted from serum samples, following which MAYV real-time reverse transcriptase PCR (RT-PCR) for the detection of the nsP1 gene was performed. RESULTS: MAYV was detected in 11.1% (40/359) of samples after RT-PCR amplification and confirmatory DNA sequencing. Most infections were detected in the adult population aged 18-39 years (40%) and 40-59 years (32.5%). Headache was the most frequent symptom in patients with MAYV infection (77.5%), followed by fever (72.5%), myalgia (55.0%), and arthralgia (50.0%). During the study, most of the MAYV cases were seen in May (47.5%) and April (35.0%), corresponding to the dry season (months without rain). CONCLUSIONS: This study is novel in describing the presence of MAYV in Cajamarca, an Andean region of Peru. Symptoms are non-specific and can be confused with those of other arbovirus or bacterial infections. Molecular biology methods such as RT-PCR allow the timely and accurate detection of MAYV and could thus be considered as a tool for surveillance in endemic areas.

Highly clarithromycin-resistant Helicobacter pylori infection in asymptomatic children from a rural community of Cajamarca-Peru.

OBJECTIVE: The objective of this study was to determine the prevalence of clarithromycin-resistant Helicobacter pylori in asymptomatic children in a rural community of Cajamarca (northern Peru). RESULTS: Helicobacter pylori was detected in 17.2% (49/285) of the samples. Unboiled water consumption the most frequent associated factor in patients with positive PCR for H. pylori infection (93.9%). Clarithromycin resistant mutations were found in 79.6% (39/49) of the positive samples for H. pylori. The most frequent mutation was A2142G (46.9%), followed by the double-mutation A2142G-A2143G (28.6%).