Effect of alcohol consumption on relapse outcomes among tuberculosis patients: A systematic review and meta-analysis.

Introduction: Tuberculosis (TB) is one of the major public health issues in every country. Alcohol consumption is one of the reasons associated with the severity of symptoms and death among TB patients. The impact of alcohol use on TB relapse outcomes is still debatable. This study aimed to conduct a systematic review and meta-analysis (SR/MA) to find the link between alcohol use and TB relapse outcomes. Methods: Data collection was performed from December 2021 to March 2022; and was obtained from electronic databases including CINAHL, PubMed, and Scopus. The researcher carefully searched and reviewed all the relevant research concerning drinking alcohol and relapse outcomes among TB patients. A set of inclusion and exclusion criteria was used to assess research publications. The methodological quality of eligible publications was assessed using the Newcastle-Ottawa Scale. Random meta-analysis was used to determine odds ratios (ORs) with a 95% confidence interval (CIs). The funnel plot, Begg's test, and Egger's test were employed to investigate publication bias. Results: There were a total of 2,113 studies found and reviewed, and eight publications were chosen for the analysis. It was found that among TB patients with a moderate appearance of heterogeneity, drinking alcohol increases the probability of relapse (OR = 3.64; 95% CI: 2.26-5.88, p < 0.001) and mortality (OR = 1.72; 95% CI: 1.40-2.12, p < 0.001). The funnel plot, Begg's test, and Egger's test all revealed that there was no indication of publication bias. Conclusions: Relapses and mortality among tuberculosis patients are considerably increased by alcohol drinking. More research into the causality of this link between the degree of alcohol use and the underlying processes is required. Systematic review registration: PROSPERO [CRD 42022295865].

Automatic recognition of parasitic products in stool examination using object detection approach.

Background: Object detection is a new artificial intelligence approach to morphological recognition and labeling parasitic pathogens. Due to the lack of equipment and trained personnel, artificial intelligence innovation for searching various parasitic products in stool examination will enable patients in remote areas of undeveloped countries to access diagnostic services. Because object detection is a developing approach that has been tested for its effectiveness in detecting intestinal parasitic objects such as protozoan cysts and helminthic eggs, it is suitable for use in rural areas where many factors supporting laboratory testing are still lacking. Based on the literatures, the YOLOv4-Tiny produces faster results and uses less memory with the support of low-end GPU devices. In comparison to the YOLOv3 and YOLOv3-Tiny models, this study aimed to propose an automated object detection approach, specifically the YOLOv4-Tiny model, for automatic recognition of intestinal parasitic products in stools. Methods: To identify protozoan cysts and helminthic eggs in human feces, the three YOLO approaches; YOLOv4-Tiny, YOLOv3, and YOLOv3-Tiny, were trained to recognize 34 intestinal parasitic classes using training of image dataset. Feces were processed using a modified direct smear method adapted from the simple direct smear and the modified Kato-Katz methods. The image dataset was collected from intestinal parasitic objects discovered during stool examination and the three YOLO models were trained to recognize the image datasets. Results: The non-maximum suppression technique and the threshold level were used to analyze the test dataset, yielding results of 96.25% precision and 95.08% sensitivity for YOLOv4-Tiny. Additionally, the YOLOv4-Tiny model had the best AUPRC performance of the three YOLO models, with a score of 0.963. Conclusion: This study, to our knowledge, was the first to detect protozoan cysts and helminthic eggs in the 34 classes of intestinal parasitic objects in human stools.

Potential for Anopheles campestris (Diptera: Culicidae) to transmit malaria parasites in Pa Rai subdistrict (Aranyaprathet, Sa Kaeo Province), Thailand.

Member(s) of the Anopheles barbirostris group Reid, particularly Anopheles barbirostris and Anopheles campestris Reid are the suspected vectors of Plasmodium vivax in Pa Rai (Aranyaprathet, Sa Kaeo province). To determine if An. barbirostris, An. campestris, or both, are present in Pa Rai and to determine their potential to transmit malaria, a field and laboratory study was conducted. Isofemale colonizations of wild caught mosquitoes captured by landing catches were made for species confirmation and to determine the mosquito life cycle. Pupal morphology indicated all mosquitoes were An. campestris. During the late rainy season (October and November), An. campestris populations comprised 78.6% of all females captured by human landing catches and 7.1% of mosquitoes in a cow-baited trap. The biting activity cycle peaked between 2000 and 0100 hours and was highest (17.6 bites per person per hour) at 2300 hours. More An. campestris bit people indoors (nine bites per person per hour) than outdoors (four bites per person per hour). Immature An. campestris were found in ponds, swamps, rice-fields, puddles, marshes, ground pools, and pits with open sunlight to partial shade. The time from egg hatch to adult was 18-47 d and 14-22 d under laboratory (25.0-27.0 degrees C) and ambient (26-32 degrees C) conditions, respectively. The fecundity of An. campestris ranged from 173 to 311 eggs. Based on experimental infections, An. campestris was able to support the sporogonic cycle of P. vivax with 76.2 and 23.8% oocyst and sporozoite formation rate, respectively. An. campestris shows high potential as a malaria vector in Pa Rai.