Colorectal cancer screening program implementation: biennial adherence and participation patterns.

INTRODUCTION AND AIM: Adherence to colorectal cancer (CRC) screening is essential for the effectiveness of screening programs. Even though organized screening programs can improve the quality of the process and adherence, there are still challenges to overcome. The aim of the present study, in which we implemented a biennial organized screening program for CRC, was to describe adherence and participation patterns. MATERIALS AND METHODS: A longitudinal, descriptive study was conducted, in which a team of trained patient navigators carried out interventions, with reminders via cellphone communication, to follow a cohort of 301 subjects eligible for CRC screening, utilizing a fecal immunochemical test (FIT). All the follow-up subjects received a FIT kit. RESULTS: A total of 747 cellphone calls were made and divided into three interventions. From the initial cohort, 126 subjects completed their biennial screening process through the FIT, indicating a consistent adherence rate of 41.8% to our program. The participation patterns were: 126 consistent participants (41.8%), 160 inconsistent participants (53.2%), and 15 participants that were never contacted (5%). CONCLUSIONS: In conclusion, our study underlines the importance of organized screening programs in the early detection of CRC. The implementation of follow-up interventions, through reminders and the training of patient navigators, can improve adherence, but there is a need for examining new strategies, to overcome barriers to communication via cellphone.

Molecular detection of intestinal parasites in a rural community of Colombia: A one health approach to explore potential environmental-zoonotic transmission.

AIMS: Protozoan and helminth parasitic infections pose significant public health challenges, especially in developing countries with rural populations marked by suboptimal hygiene practices and socio-economic constraints. The parasites are the etiological agents of these infections and have a notably elevated global prevalence. Therefore, this study focuses on estimating the frequency and transmission dynamics of several parasitic species, including Blastocystis, Giardia, Cryptosporidium spp., Entamoeba histolytica, Ascaris lumbricoides, Trichuris trichiura, Taenia spp. and hookworms, within a rural community in southwest Colombia with a particular emphasis on the One Health framework, considering environmental and zoonotic transmission potentials. METHODS AND RESULTS: This study involved the analysis of 125 samples, encompassing human participants (n = 99), their domestic pets (dogs) (n = 24) and water sources (n = 2). Parasite detection was carried out utilizing a combination of microscopy and molecular techniques. Furthermore, the characterization of Blastocystis subtypes (STs) was achieved through Oxford Nanopore sequencing of the rRNA-18S gene. The investigation also entailed the examination of potential associations between intestinal parasitism and various sociodemographic factors. Results revealed a high frequency of parasitic infections when employing molecular methods, with Blastocystis (n = 109/87%), Giardia (n = 20/16%), Ancylostoma duodenale (n = 28/22%), Ancylostoma ceylanicum (n = 7/5.6%), E. histolytica (n = 6/4.8%), Cryptosporidium spp. (n = 12/9.6%) and even Taenia (n = 1/0.8%) detected. Cryptosporidium spp. was also identified in water samples. Coinfections were prevalent, with 57% (n = 70) of samples exhibiting single-parasite infections and 43% (n = 53) showing various degrees of polyparasitism, emphasizing the complexity of transmission dynamics. Blastocystis subtyping, conducted via Oxford Nanopore sequencing, revealed a diversity of subtypes and coexistence patterns, with ST2 being the most prevalent. CONCLUSIONS: This research underscores the importance of using molecular techniques for frequency estimation, particularly emphasizing the relevance of zoonotic transmission in parasitic infections. It highlights the significance of the One Health approach in comprehending the circulation of parasites among animals, humans and environmental sources, thereby directly impacting public health and epidemiological surveillance.

Investigating two mobile just-in-time adaptive interventions to foster psychological resilience: research protocol of the DynaM-INT study.

BACKGROUND: Stress-related disorders such as anxiety and depression are highly prevalent and cause a tremendous burden for affected individuals and society. In order to improve prevention strategies, knowledge regarding resilience mechanisms and ways to boost them is highly needed. In the Dynamic Modelling of Resilience - interventional multicenter study (DynaM-INT), we will conduct a large-scale feasibility and preliminary efficacy test for two mobile- and wearable-based just-in-time adaptive interventions (JITAIs), designed to target putative resilience mechanisms. Deep participant phenotyping at baseline serves to identify individual predictors for intervention success in terms of target engagement and stress resilience. METHODS: DynaM-INT aims to recruit N = 250 healthy but vulnerable young adults in the transition phase between adolescence and adulthood (18-27 years) across five research sites (Berlin, Mainz, Nijmegen, Tel Aviv, and Warsaw). Participants are included if they report at least three negative burdensome past life events and show increased levels of internalizing symptoms while not being affected by any major mental disorder. Participants are characterized in a multimodal baseline phase, which includes neuropsychological tests, neuroimaging, bio-samples, sociodemographic and psychological questionnaires, a video-recorded interview, as well as ecological momentary assessments (EMA) and ecological physiological assessments (EPA). Subsequently, participants are randomly assigned to one of two ecological momentary interventions (EMIs), targeting either positive cognitive reappraisal or reward sensitivity. During the following intervention phase, participants' stress responses are tracked using EMA and EPA, and JITAIs are triggered if an individually calibrated stress threshold is crossed. In a three-month-long follow-up phase, parts of the baseline characterization phase are repeated. Throughout the entire study, stressor exposure and mental health are regularly monitored to calculate stressor reactivity as a proxy for outcome resilience. The online monitoring questionnaires and the repetition of the baseline questionnaires also serve to assess target engagement. DISCUSSION: The DynaM-INT study intends to advance the field of resilience research by feasibility-testing two new mechanistically targeted JITAIs that aim at increasing individual stress resilience and identifying predictors for successful intervention response. Determining these predictors is an important step toward future randomized controlled trials to establish the efficacy of these interventions.

Identifying the most important data for research in the field of infectious diseases: thinking on the basis of artificial intelligence.

OBJECTIVE: Clinical data on which artificial intelligence (AI) algorithms are trained and tested provide the basis to improve diagnosis or treatment of infectious diseases (ID). We aimed to identify important data for ID research to prioritise efforts being undertaken in AI programmes. METHODS: We searched for 1,000 articlesfrom high-impact ID journals on PubMed, selecting 288 of the latest articles from 10 top journals. We classified them into structured or unstructured data. Variables were homogenised and grouped into the following categories: epidemiology, admission, demographics, comorbidities, clinical manifestations, laboratory, microbiology, other diagnoses, treatment, outcomes and other non-categorizable variables. RESULTS: 4,488 individual variables were collected, from the 288 articles. 3,670 (81.8%) variables were classified as structured data whilst 818 (18.2%) as unstructured data. From the structured data, 2,319 (63.2%) variables were classified as direct-retrievable from electronic health records-whilst 1,351 (36.8%) were indirect. The most frequent unstructured data were related to clinical manifestations and were repeated across articles. Data on demographics, comorbidities and microbiology constituted the most frequent group of variables. CONCLUSIONS: This article identified that structured variables have comprised the most important data in research to generate knowledge in the field of ID. Extracting these data should be a priority when a medical centre intends to start an AI programme for ID. We also documented that the most important unstructured data in this field are those related to clinical manifestations. Such data could easily undergo some structuring with the use of semi-structured medical records focusing on a few symptoms.

Alterations in the optic nerve and retina in patients with COVID-19. A theoretical review.

The objective of this research is to identify and systematize the medical conditions generated by SARS-CoV-2 on the optic nerve and retina of young, adult, and elderly adults who suffered from COVID-19 in the period 2019-2022. A theoretical documentary review (TDR) was conducted within the framework of an investigation to determine the current state of knowledge of the subject under study. The TDR includes the analysis of publications in the scientific databases PubMed/Medline, Ebsco, Scielo and Google. A total of 167 articles were found, of which 56 were studied in depth, and these evidence the impact of COVID-19 infection on the retina and optic nerve of infected patients, both during the acute phase and in subsequent recovery. Among the reported findings, the following stand out: anterior and posterior non-arteritic ischemic optic neuropathy, optic neuritis, central or branch vascular occlusion, paracentral acute medial maculopathy, neuroretinitis, as well as concomitant diagnoses such as possible Vogt-Koyanagi-Harada disease, multiple evanescent white dot syndrome (MEWDS), Purtscher-like retinopathy, among others.

Neurocisticercosis y epilepsia en un hospital universitario de Popayán, Colombia: una serie de casos / Neurocysticercosis and epilepsy in a university hospital in Popayán, Colombia: A case series

RESUMEN INTRODUCCIÓN: La neurocisticercosis es una infección del sistema nervioso central causada por el estadio larvario del cestodo Taenia solium, y se estima que puede ocasionar hasta 30% de los casos de epilepsia en los países donde esta parasitosis es endémica. El objetivo de este estudio fue determinar la frecuencia de pacientes que presentaron epilepsia como secuela de neurocisticercosis en un hospital universitario en Popayán. MATERIALES Y MÉTODOS: Se realizó un estudio retrospectivo con todos los pacientes con diagnóstico de neurocisticercosis que ingresaron al Hospital Universitario San José entre enero 2014 y diciembre 2018 que cumplieron los criterios de inclusión. RESULTADOS: Se encontraron 50 pacientes, de estos, 40 (80%) reingresaron, encontrándose que 37 (74%) presentaron epilepsia como secuela. Las edades más afectadas fueron la de 41 a 60 años; 48 (96%) provenían del departamento del Cauca en especial de Mercaderes, y 33 (66%) de área rural. El síndrome convulsivo fue la manifestación clínica de ingreso más frecuente. La TAC fue la técnica de imagen de elección. CONCLUSIÓN: El departamento del Cauca se considera como una de las áreas endémicas para neurocisticercosis en Colombia, y la epilepsia secundaria es un secuela común.

ABSTRACT INTRODUCTION: Neurocysticercosis is an infection of the central nervous system caused by the larval stage of the cestode Taenia solium, it has been estimated to produce up to 30% of the cases in countries where this parasitosis is endemic. The objective of this study was to determine the frequency of patients who presented epilepsy as a sequel of neurocysticercosis in a university hospital in Popayán. MATERIALS AND METHODS: A retrospective study was conducted with all patients with a diagnosis of neurocysticercosis who were admitted to the Hospital Universitario San José between January 2014 and December 2018 who met the inclusion criteria. RESULTS: We found 50 patients, 40 (80%) of which were readmitted and 37 (74%) presented epilepsy as sequela. The most affected age-group was 41 to 60 years; 48 (96%) were from the department of Cauca, especially Mercaderes, and 33 (66%) from rural areas. Convulsive syndrome was the most frequent clinical manifestation on admission. CT was the imaging technique of choice. CONCLUSION: The department of Cauca is considered as an endemic area for neurocysticercosis, and secondary epilepsy was a common consequence.

Neotropical sisterhood: new species of Gyrodactylus von Nordmann, 1832 (Platyhelminthes: Monogenea) infecting Rhamdia guatemalensis and Rhamdia laticauda (Siluriformes: Heptapteridae) in Mexico.

We describe two new species of monogenean parasites of the genus Gyrodactylus von Nordmann, 1832 infecting Neotropical catfishes (Siluriformes) in southern Mexico: Gyrodactylus chulini n. sp. from 'chulín', Rhamdia laticauda collected in Oaxaca; and Gyrodactylus juili n. sp. from 'juil', Rhamdia guatemalensis from Veracruz. Morphologically, both new taxa are similar to Gyrodactylus spp. infecting catfishes (Siluriformes) in South America. Sequences of the internal transcribed spacers (ITS1-5.8S-ITS2 rDNA), the D2+D3 domains of the large ribosomal subunit (28S rDNA) and the cytochrome oxidase II (COII) gene were obtained from multiple parasite specimens and analysed using Bayesian inference. Phylogenetic hypotheses using ITS rDNA and COII genes, recovered two new Gyrodactylus species from Rhamdia spp.: G. chulini n. sp.; and Gyrodactylus juili n. sp., which are sister species to Gyrodactylus lilianae, a parasite of Rhamdia quelen in Brazil, and show strong affinity to other gyrodactytlids infecting Neotropical catfishes. This suggests that these new taxa, the first gyrodactylids described from Rhamdia spp. in Mexico, co-migrated to Tropical Middle America with their Neotropical catfish hosts, after the emergence of the Isthmus of Panama.

Time until modification of antiparkinsonian therapy in a group of patients from Colombia. / Tiempo hasta la modificación de la terapia antiparkinsoniana en un grupo de pacientes de Colombia.

INTRODUCTION: The aim was to determine the time elapsed between the start of treatment with antiparkinsonian agents and the modification of the pharmacological therapy, and to establish its related factors, in a group of patients with Parkinson's disease from Colombia. PATIENTS AND METHODS: Retrospective cohort study that collected information about the treatment of patients with Parkinson's disease who started drug therapy between June, 2011 and December, 2013; a five-year follow-up was performed. Survival analyses for time to therapy modification were generated, and factors related to these changes were determined using Cox regression models. RESULTS: A total of 3,224 patients (51.8% men) with a mean age of 73.1 ± 13.5 years started treatment with antiparkinsonian agents. After five years, 2,046 patients (63.5%) had modifications in drug therapy, in a mean time of 36.4 months (95% confidence interval: 35.7-37.1). A total of 1,216 patients (37.8%) required the addition of another active principle, while 830 (25.7%) had a switch to another drug. In the multivariate analysis, male sex, age over 65 years, and the start of amantadine were identified as factors that increased the likelihood of therapy modification. The use of bromocriptine, biperiden, and monotherapy as an initial treatment were associated with a reduction in this likelihood. CONCLUSIONS: After five years of treatment, 63.5% of the patients with Parkinson's disease required modifications to their therapy, with a mean time of three years. Male sex, age over 65 years, and receiving initial therapy with amantadine affected the likelihood of switching therapy in these patients in Colombia.

TITLE: Tiempo hasta la modificación de la terapia antiparkinsoniana en un grupo de pacientes de Colombia.Introducción. Se buscó determinar el tiempo transcurrido desde el inicio del tratamiento con fármacos antiparkinsonianos hasta la modificación en la terapia y establecer sus factores relacionados en un grupo de pacientes con enfermedad de Parkinson de Colombia. Pacientes y métodos. Estudio de cohorte retrospectiva que recolectó información sobre el tratamiento de pacientes con enfermedad de Parkinson que iniciaron terapia farmacológica entre junio de 2011 y diciembre de 2013; se realizó seguimiento a cinco años. Se generaron análisis de sobrevida para el tiempo trascurrido hasta la modificación de la terapia y se determinaron los factores relacionados con estos cambios utilizando modelos de regresión de Cox. Resultados. Un total de 3.224 pacientes (51,8%, hombres), con edad media de 73,1 ± 13,5 años, iniciaron tratamiento con fármacos antiparkinsonianos. Después de cinco años, 2.046 pacientes (63,5%) tuvieron modificaciones en la terapia farmacológica, con un promedio de tiempo de 36,4 meses (intervalo de confianza al 95%: 35,7-37,1). Un total de 1.216 pacientes (37,8%) requirió adición de otro principio activo, mientras que 830 (25,7%) tuvieron un cambio por otro medicamento. En el análisis multivariado, el sexo masculino, la edad mayor de 65 años y el inicio de amantadina se identificaron como factores que aumentaron la probabilidad de modificar la terapia. El uso de bromocriptina y biperideno, y la monoterapia como tratamiento inicial redujeron dicho riesgo. Conclusión. Después de cinco años de tratamiento, el 63,5% de los pacientes con enfermedad de Parkinson requirió modificaciones de la terapia, con un tiempo promedio de tres años. El sexo masculino, la edad mayor de 65 años y recibir terapia inicial con amantadina afectaron a la probabilidad de cambio de terapia en estos pacientes en Colombia.

Epigenetic regulation by metabolites from the gut microbiome.

The gut microbiome can metabolise food components, such as dietary fibres and various phytochemicals; and the microbiome can also synthesise some nutrients, for example B vitamins. The metabolites produced by bacteria and other micro-organisms in the colon can have implications for health and disease risk. Some of these metabolites are epigenetically active, and can contribute to changes in the chemical modification and structure of chromatin by affecting the activity and expression of epigenetically-active enzymes, for example histone deacetylases and DNA methyltransferases. The epigenetic activity of such gut microbiome metabolites is reviewed herein.

Multivariate associative patterns between the gut microbiota and large-scale brain network connectivity.

Research on the gut-brain axis has accelerated substantially over the course of the last years. Many reviews have outlined the important implications of understanding the relation of the gut microbiota with human brain function and behavior. One substantial drawback in integrating gut microbiome and brain data is the lack of integrative multivariate approaches that enable capturing variance in both modalities simultaneously. To address this issue, we applied a linked independent component analysis (LICA) to microbiota and brain connectivity data.We analyzed data from 58 healthy females (mean age = â€¯21.5 years). Magnetic Resonance Imaging data were acquired using resting state functional imaging data. The assessment of gut microbial composition from feces was based on sequencing of the V4 16S rRNA gene region. We used the LICA model to simultaneously factorize the subjects' large-scale brain networks and microbiome relative abundance data into 10 independent components of spatial and abundance variation.LICA decomposition resulted in four components with non-marginal contribution of the microbiota data. The default mode network featured strongly in three components, whereas the two-lateralized fronto-parietal attention networks contributed to one component. The executive-control (with the default mode) network was associated to another component. We found that the abundance of Prevotella genus was associated with the strength of expression of all networks, whereas Bifidobacterium was associated with the default mode and frontoparietal-attention networks.We provide the first exploratory evidence for multivariate associative patterns between the gut microbiota and brain network connectivity in healthy humans considering the complexity of both systems.

Evaluation of 4 predictive algorithms for intramammary infection status in late-lactation cows.

The objective of this observational study was to compare 4 cow-level algorithms to predict cow-level intramammary infection (IMI) status (culture and MALDI-TOF) in late-lactation US dairy cows using standard measures of test performance. Secondary objectives were to estimate the likely effect of each algorithm, if used to guide selective dry cow therapy (SDCT), on dry cow antibiotic use in US dairy herds, and to investigate the importance of including clinical mastitis criteria in algorithm-guided SDCT. Cows (n = 1,594) from 56 US dairy herds were recruited as part of a previously published cross-sectional study of bedding management and IMI in late-lactation cows. Each herd was visited twice for sampling. At each farm visit, aseptic quarter-milk samples were collected from 20 cows approaching dry-off (>180 d pregnant), which were cultured using standard bacteriological methods and MALDI-TOF for identification of isolates. Quarter-level culture results were used to establish cow-level IMI status, which was considered the reference test in this study. Clinical mastitis records and Dairy Herd Improvement Association test-day somatic cell count data were extracted from herd records and used to perform cow-level risk assessments (low vs. high risk) using 4 algorithms that have been proposed for SDCT in New Zealand, the Netherlands, United Kingdom, and the United States. Agreement between aerobic culture (reference test; IMI vs. no-IMI) and algorithm status (high vs. low risk) was described using Cohen's kappa, test sensitivity, specificity, negative predictive value, and positive predictive value. The proportion of cows classified as high risk among the 4 algorithms ranged from 0.31 to 0.63, indicating that these approaches to SDCT could reduce antibiotic use at dry-off by 37 to 69% in the average US herd. All algorithms had poor agreement with IMI status, with kappa values ranging from 0.05 to 0.13. Sensitivity varied by pathogen, with higher values observed when detecting IMI caused by Streptococcus uberis, Streptococcus dysgalactiae, Staphylococcus aureus, and Lactococcus lactis. Negative predictive values were high for major pathogens among all algorithms (≥0.87), which may explain why algorithm-guided SDCT programs have been successfully implemented in field trials, despite poor agreement with overall IMI status. Removal of clinical mastitis criteria for each algorithm had little effect on the algorithm classification of cows, indicating that algorithms based on SCC alone may have similar performance to those based on SCC and clinical mastitis criteria. We recommend that producers implementing algorithm-guided SDCT use algorithm criteria that matches their relative aspirations for reducing antibiotic use (high specificity, positive predictive value) or minimizing untreated IMI at dry-off (high sensitivity, negative predictive value).

Partial budget analysis of culture- and algorithm-guided selective dry cow therapy.

The objectives of this study were to (1) use partial budget analysis to estimate the cash impact for herds that switch from blanket dry cow therapy (BDCT) to culture- or algorithm-guided selective dry cow therapy (SDCT) and (2) conduct a sensitivity analysis to investigate effects in situations where SDCT increased clinical and subclinical mastitis risk during the subsequent lactation. A partial budget model was created using Monte Carlo simulation with @Risk software. Expenditures associated with dry-off procedures and health outcomes (clinical and subclinical mastitis) during the first 30 d in milk were used to model herd-level effects, expressed in units of US dollars per cow dry-off. Values for each economic component were derived from findings from a recent multisite clinical trial, peer-reviewed journal articles, USDA databases, and our experiences in facilitating the implementation of SDCT on farms. Fixed values were used for variables expected to have minimal variation within the US dairy herd population (e.g., cost of rapid culture plates) and sampling distributions were used for variables that were hypothesized to vary enough to effect the herd net cash impact of one or more DCT approach(es). For Objective 1, herd-level udder health was assumed to be unaffected by the implementation of SDCT. For culture-guided SDCT, producers could expect to save an average of +$2.14 (-$2.31 to $7.23 for 5th and 95th percentiles) per cow dry-off as compared with BDCT, with 75.5% of iterations being ≥$0.00. For algorithm-guided SDCT, the mean net cash impact was +$7.85 ($3.39-12.90) per cow dry-off, with 100% of iterations being ≥$0.00. The major contributors to variance in cash impact for both SDCT approaches were percent of quarters treated at dry-off and the cost of dry cow antibiotics. For Objective 2, we repeated the partial budget model with the 30-d clinical and subclinical mastitis incidence increasing by 1, 2, and 5% (i.e., risk difference = 0.01, 0.02, and 0.05) in both SDCT groups compared with BDCT. For algorithm-guided SDCT, average net cash impacts were ≥$0.00 per cow dry-off (i.e., cost effective) when mastitis incidence increased slightly. However, as clinical mastitis incidence increased, economic returns for SDCT diminished. These findings indicate that when SDCT is implemented appropriately (i.e., no to little negative effect on health), it might be a cost-effective practice for US herds under a range of economic conditions.

Democratization of fungal highway columns as a tool to investigate bacteria associated with soil fungi.

Bacteria-fungi interactions (BFIs) are essential in ecosystem functioning. These interactions are modulated not only by local nutritional conditions but also by the physicochemical constraints and 3D structure of the environmental niche. In soils, the unsaturated and complex nature of the substrate restricts the dispersal and activity of bacteria. Under unsaturated conditions, some bacteria engage with filamentous fungi in an interaction (fungal highways) in which they use fungal hyphae to disperse. Based on a previous experimental device to enrich pairs of organisms engaging in this interaction in soils, we present here the design and validation of a modified version of this sampling system constructed using additive printing. The 3D printed devices were tested using a novel application in which a target fungus, the common coprophilous fungus Coprinopsis cinerea, was used as bait to recruit and identify bacterial partners using its mycelium for dispersal. Bacteria of the genera Pseudomonas, Sphingobacterium and Stenotrophomonas were highly enriched in association with C. cinerea. Developing and producing these new easy-to-use tools to investigate how bacteria overcome dispersal limitations in cooperation with fungi is important to unravel the mechanisms by which BFIs affect processes at an ecosystem scale in soils and other unsaturated environments.

Mycobacterium peregrinum Pacemaker Pocket Infection: A Case Report and Review of the Literature.

Mycobacterium peregrinum is a rapidly growing mycobacterium (RGM), subspecies of Mycobacterium fortuitum complex, which can cause infections in the skin, surgical sites, and central lines. It has also been associated with implantable devices such as cardiac devices. Our objective is to present an atypical clinical case of M. peregrinum infection associated with a cardiac device, review the published literature, and highlight the importance of this type of RGM infection to enhance their therapeutic success. Only two other cases have been reported of M. peregrinum infection associated with cardiac devices. Diagnosis and treatment of Mycobacterium peregrinum infection can be challenging, and the literature is scarce. Better understanding and further research should be conducted regarding this infection.

Evaluation of highly sensitive diagnostic tools for the detection of P. falciparum in pregnant women attending antenatal care visits in Colombia.

BACKGROUND: In low transmission settings early diagnosis is the main strategy to reduce adverse outcomes of malaria in pregnancy; however, microscopy and rapid diagnostic tests (RDTs) are inadequate for detecting low-density infections. We studied the performance of the highly sensitive-RDT (hsRDT) and the loop mediated isothermal DNA amplification (LAMP) for the detection of P. falciparum in pregnant women. METHODS: A cross-sectional study was conducted in two malaria-endemic municipalities in Colombia. We screened pregnant women in the context of an antenatal care program in health facilities and evaluated five tests (microscopy, conventional RDT, hsRDT, LAMP and nested polymerase chain reaction-PCR) for the detection of P. falciparum in peripheral blood, using a quantitative reverse transcription PCR (qRT-PCR) as the reference standard. Diagnostic performance of hsRDT and LAMP were compared with routine testing. RESULTS: The prevalence of P. falciparum was 4.5% by qRT-PCR, half of those infections were subpatent. The sensitivity of the hsRDT (64.1%) was slightly better compared to microscopy and cRDT (59 and 53.8% respectively). LAMP had the highest sensitivity (89.7%) for detecting P. falciparum and the ability to detect very low-density infections (minimum parasite density detected 0.08 p/µL). CONCLUSIONS: There is an underestimation of Plasmodium spp. infections by tests routinely used in pregnant women attending antenatal care visits. LAMP methodology can be successfully implemented at local hospitals in malaria-endemic areas. The relevance of detecting and treating this sub-patent P. falciparum infections in pregnant women should be evaluated. TRIAL REGISTRATION: ClinicalTrials.gov, Identifier: NCT03172221 , Date of registration: May 29, 2017.

Diseases and access to treatment by the Peruvian prison population: an analysis according to gender.

OBJECTIVE: In Peru, prisons are spaces with overcrowding, deteriorated infrastructure, poor sanitary conditions and difficult access to medical treatment. The objective of this study is to estimate the burden of disease and access to treatment for different morbidities in the Peruvian inmate population. METHODS: An analysis of secondary data of the First National Penitentiary Census (PCNP) 2016 in Peru was carried out. The absolute frequencies and percentages of each self-reported health condition, the presence of a diagnosis of a disease before entering the prison system and access to treatment were obtained. RESULTS: 74,130 inmates were included in the analysis. The most common diseases in prisons are depression (9.6%), anxiety (8.6%), chronic lung disease (8.4%) and arterial hypertension (6.9%). All diseases included, with the exception of hepatitis, have a diagnostic before the incarceration of less than 60%. Access to medical treatment was higher in women than in men and in general, mental health illnesses had low access to medical treatment. CONCLUSIONS: Chronic and infectious diseases are frequent in those deprived of liberty, with mental health problems being more prevalent in women. In general, access to treatment is low, especially in men and for mental health illnesses. This situation reflects the need to develop intervention programs that promote health and increase the universality of health care in those deprived of liberty.

Randomized controlled non-inferiority trial investigating the effect of 2 selective dry-cow therapy protocols on antibiotic use at dry-off and dry period intramammary infection dynamics.

Selective dry-cow therapy (SDCT) could be used to reduce antibiotic use on commercial dairy farms in the United States but is not yet widely adopted, possibly due to concerns about the potential for negative effects on cow health. The objective of this study was to compare culture- and algorithm-guided SDCT programs with blanket dry-cow therapy (BDCT) in a multi-site, randomized, natural exposure, non-inferiority trial for the following quarter-level outcomes: antibiotic use at dry-off, dry period intramammary infection (IMI) cure risk, dry period new IMI risk, and IMI risk at 1 to 13 d in milk (DIM). Two days before planned dry-off, cows in each of 7 herds were randomly allocated to BDCT, culture-guided SDCT (cult-SDCT), or algorithm-guided SDCT (alg-SDCT). At dry-off, BDCT cows received an intramammary antibiotic (500 mg of ceftiofur hydrochloride) in all 4 quarters. Antibiotic treatments were selectively allocated to quarters of cult-SDCT cows by treating only quarters from which aseptically collected milk samples tested positive on the Minnesota Easy 4Cast plate (University of Minnesota, St. Paul, MN) after 30 to 40 h of incubation. For alg-SDCT cows, antibiotic treatments were selectively allocated at the cow level, with all quarters receiving antibiotic treatment if the cow had either a Dairy Herd Improvement Association test somatic cell count >200,000 cells/mL during the current lactation or 2 or more clinical mastitis cases during the current lactation. All quarters of all cows were treated with an internal teat sealant. Intramammary infection status at enrollment and at 1 to 13 DIM was determined using standard bacteriological methods. The effect of treatment group on dry period IMI cure, dry period new IMI, and IMI risk at 1 to 13 DIM was determined using generalized linear mixed models (logistic), with marginal standardization to derive risk difference (RD) estimates. Quarter-level antibiotic use at dry-off for each group was BDCT (100%), cult-SDCT (45%), and alg-SDCT (45%). The crude dry period IMI cure risk for all quarters was 87.5% (818/935), the crude dry period new IMI risk was 20.1% (764/3,794), and the prevalence of IMI at 1 to 13 DIM was 23% (961/4,173). Non-inferiority analysis indicated that culture- and algorithm-guided SDCT approaches performed at least as well as BDCT for dry period IMI cure risk. In addition, the final models indicated that the risks for each of the 3 IMI measures were similar between all 3 treatment groups (i.e., RD estimates and 95% confidence intervals all close to 0). These findings indicate that under the conditions of this trial, culture- and algorithm-guided SDCT can substantially reduce antibiotic use at dry-off without negatively affecting IMI dynamics.