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1.
Parasitol Res ; 123(5): 209, 2024 May 14.
Article in English | MEDLINE | ID: mdl-38740597

ABSTRACT

Artemisinin (ART) combination therapy is the main treatment for malaria. Pfk13 mutations (or K13 mutations, Kelch 13) are associated with ART resistance. This study aims to conduct a systematic review and meta-analysis of the prevalence of K13 mutations with ART resistance in malaria-endemic countries. An electronic search of studies in 2018 and a manual search in 2020 were performed to identify relevant studies. The risk of bias was assessed using the National Institutes of Health (NIH) quality assessment tool for observational cohort and cross-sectional studies. Data analysis was performed using R 4.1.0. Heterogeneity was estimated using the statistic I2 and Cochran Q test. A total of 170 studies were included in our review. Of these, 55 studies investigated the prevalence of K13 mutations in Southeast Asia. The meta-analysis showed that Southeast Asia had the highest prevalence of K13 mutations, whereas Africa, South America, Oceania, and other Asian countries outside Southeast Asia had a low prevalence of K13 mutations. The C580Y mutation was the most common in Southeast Asia with 35.5% (95%CI: 25.4-46.4%), whereas the dominant mutation in Africa was K189T (22.8%, 95%CI: 7.6-43.2%). This study revealed the emergence of ART resistance associated with K13 mutations in Southeast Asia. The diversity of each type of K13 mutation in other regions was also reported.


Subject(s)
Antimalarials , Artemisinins , Polymorphism, Genetic , Artemisinins/therapeutic use , Humans , Antimalarials/therapeutic use , Prevalence , Drug Resistance/genetics , Plasmodium falciparum/genetics , Plasmodium falciparum/drug effects , Malaria/drug therapy , Malaria/epidemiology , Malaria, Falciparum/drug therapy , Malaria, Falciparum/epidemiology , Malaria, Falciparum/parasitology , Mutation , Protozoan Proteins/genetics , Asia, Southeastern/epidemiology
2.
Am J Dermatopathol ; 45(6): 355-370, 2023 Jun 01.
Article in English | MEDLINE | ID: mdl-37191371

ABSTRACT

BACKGROUND: Chronic atypical neutrophilic dermatosis with lipodystrophy and elevated temperature syndrome is a rare, hereditary, autoinflammatory disease. However, there are few cases reported in the literature. Therefore, we conduct this systematic review to summarize current evidence. METHODS: We conducted a systematic search in July 2021 using 11 different electronic databases. The included articles were screened according to our inclusion and exclusion criteria and assessed using an appropriate quality assessment tool. Then, the relevant data were extracted and summarized in tables accordingly. Each step of the previous one was done by 3 independent reviewers, and the conflicts were resolved by discussion and sometimes by counseling a senior member. RESULTS: The final included studies were 18 articles with 34 cases (mean age = 8 years, male/female = 19/15). The most reported symptoms and signs were fever 97.1%, erythematous plaques 76.5%, arthralgia 67.6%, hepatomegaly 61.8%, violaceous hue 61.8%, lipodystrophy in extremities 53.1% in addition to low weight and height. Rare features were reported too. The laboratories were not specific, which may be explained by a systemic inflammatory response. Vasculitis was the dominant feature in the skin biopsy, whereas the calcification in the basal ganglia was a prominent sign in many cases. CONCLUSIONS: Fever, skin lesions, and systemic inflammatory response were the prominent features of chronic atypical neutrophilic dermatosis with lipodystrophy and elevated temperature syndrome. The clinical picture is the main guide in addition to the pathological findings. Mutation detection is the confirmatory test. Prednisolone is the most effective reported treatment for acute presentations in the literature.


Subject(s)
Dermatitis , Lipodystrophy , Skin Diseases , Sweet Syndrome , Humans , Male , Female , Child , Sweet Syndrome/diagnosis , Sweet Syndrome/drug therapy , Sweet Syndrome/pathology , Skin Diseases/diagnosis , Skin Diseases/drug therapy , Skin Diseases/pathology , Lipodystrophy/diagnosis , Lipodystrophy/genetics , Lipodystrophy/pathology , Fever/diagnosis , Chronic Disease , Systemic Inflammatory Response Syndrome
3.
Cytopathology ; 34(4): 325-333, 2023 07.
Article in English | MEDLINE | ID: mdl-36988122

ABSTRACT

BACKGROUND: Fine needle aspiration biopsy (FNAB), accompanied by classification systems for cytology, can offer a cheap and convenient option for the diagnosis of breast cancer in women with suspicious breast lumps. In this study, we aimed to assess the accuracy of the International Academy of Cytology (IAC) Yokohama system in a Vietnamese oncology centre. METHODS: A retrospective cross-sectional study was conducted from November 2021 to April 2022 at Vietnam National Cancer Hospital. We included patients with full hospital records regarding breast lesions for which FNAB was indicated. A total of 803 patients' FNAB specimens were assessed according to the IAC Yokohama system. The basic characteristics were summarised using the appropriate summary measurements. The risk of malignancy (ROM) was calculated for each classification category. RESULTS: The median age was 42.7 years (range: 14-85). The mean size of the lesions was 17.9 mm (range: 4-123 mm). We had 215 histopathological reports. The most common benign and malignant diagnoses were fibroadenoma and invasive carcinoma, respectively. The ROM for categories II, III, IV, and V was calculated as 3.4%, 37.5%, 95%, and 99.2% respectively. The sensitivity, specificity, positive predictive value, and negative predictive value were 96.4%, 97.2%, 98.5%, and 93.2%, respectively. CONCLUSION: The IAC Yokohama system offers a good option with which to predict underlying breast pathology using a simple and cheap procedure. However, pathologists require continuous training to ensure accurate interpretation of the slides.


Subject(s)
Breast Neoplasms , Southeast Asian People , Adult , Female , Humans , Biopsy, Fine-Needle , Breast/pathology , Breast Neoplasms/diagnosis , Breast Neoplasms/pathology , Cross-Sectional Studies , Retrospective Studies , Sensitivity and Specificity , Vietnam , Adolescent , Young Adult , Middle Aged , Aged , Aged, 80 and over
4.
PLoS One ; 16(7): e0254012, 2021.
Article in English | MEDLINE | ID: mdl-34264966

ABSTRACT

BACKGROUND: In response to the spread of the coronavirus disease 2019 (COVID-19), plenty of control measures were proposed. To assess the impact of current control measures on the number of new case indices 14 countries with the highest confirmed cases, highest mortality rate, and having a close relationship with the outbreak's origin; were selected and analyzed. METHODS: In the study, we analyzed the impact of five control measures, including centralized isolation of all confirmed cases, closure of schools, closure of public areas, closure of cities, and closure of borders of the 14 targeted countries according to their timing; by comparing its absolute effect average, its absolute effect cumulative, and its relative effect average. RESULTS: Our analysis determined that early centralized isolation of all confirmed cases was represented as a core intervention in significantly disrupting the pandemic's spread. This strategy helped in successfully controlling the early stage of the outbreak when the total number of cases were under 100, without the requirement of the closure of cities and public areas, which would impose a negative impact on the society and its economy. However, when the number of cases increased with the apparition of new clusters, coordination between centralized isolation and non-pharmaceutical interventions facilitated control of the crisis efficiently. CONCLUSION: Early centralized isolation of all confirmed cases should be implemented at the time of the first detected infectious case.


Subject(s)
COVID-19/prevention & control , Patient Isolation/statistics & numerical data , Quarantine/statistics & numerical data , COVID-19/transmission , Disease Notification/statistics & numerical data , Disease Transmission, Infectious/statistics & numerical data , Humans , Models, Statistical
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