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Risk of tuberculosis disease in patients receiving TNF-α antagonist therapy: A meta-analysis of randomized controlled trials 接受 TNF-α 拮抗剂治疗的患者罹患结核病的风险：随机对照试验荟萃分析
IF 2.9 Q2 INFECTIOUS DISEASES
New Microbes and New Infections
Pub Date : 2024-11-16 DOI: 10.1016/j.nmni.2024.101533
Fatemeh Khelghati , Mohammad Rahmanian , Elaheh Eghbal , Zahra Sadat Seghatoleslami , Mehdi Goudarzi , Aliasghar Keramatinia , Catherine WM. Ong , Delia Goletti , Lia D'Ambrosio , Rosella Centis , Mohammad Javad Nasiri , Giovanni Battista Migliori

Introduction

Tuberculosis (TB) risk associated with tumor necrosis factor-alpha (TNF-α) antagonist therapy in patients with autoimmune diseases is a significant concern. This study aims to evaluate the risk of TB disease associated with TNF-α antagonist therapy.

Methods

An extensive search of PubMed/MEDLINE, EMBASE, and the Cochrane CENTRAL databases was conducted to identify randomized controlled trials (RCTs) assessing TB disease risk in patients receiving TNF-α antagonist therapy available until November 1, 2024. The pooled statistic used was the weighted odds ratio (OR) and a corresponding 95 % confidence interval (CI). Statistical analysis was performed using Comprehensive Meta-Analysis software, version 3.0 (Biostat Inc., Englewood, NJ, USA).

Results

Fifty-six RCTs, totaling 22,212 adult patients, met the specified eligibility criteria. Pooled analysis revealed an increased risk of TB disease associated with TNF-α antagonist therapy (OR 1.52, 95 % CI 1.03–2.26, p = 0.03). Subgroup analyses indicated a higher risk in patients with rheumatoid arthritis (RA) (OR 2.25, 95 % CI 1.13–4.45, p = 0.02), while no significant associations were found in patients with ankylosing spondylitis (AS) or psoriasis (Ps). Analyses by specific TNF-α antagonist drugs did not yield significant associations with risk of TB disease.

Conclusion

Our study highlights an increased risk of TB disease associated with TNF-α antagonist therapy, particularly in patients with RA. However, the absence of significant associations in AS or Ps patients suggests disease-specific variations in risk of TB disease. Further research is needed to elucidate the long-term safety profile of TNF-α antagonist drugs and their associations with risk of TB disease in different patient populations.
引言自身免疫性疾病患者接受肿瘤坏死因子-α（TNF-α）拮抗剂治疗后患结核病（TB）的风险令人担忧。本研究旨在评估与TNF-α拮抗剂治疗相关的结核病风险。方法对PubMed/MEDLINE、EMBASE和Cochrane CENTRAL数据库进行了广泛检索，以确定2024年11月1日之前可获得的、评估接受TNF-α拮抗剂治疗患者结核病风险的随机对照试验（RCT）。使用的汇总统计量是加权几率比（OR）和相应的 95 % 置信区间（CI）。统计分析采用 Comprehensive Meta-Analysis 软件 3.0 版（Biostat Inc.汇总分析显示，TNF-α拮抗剂治疗增加了结核病的患病风险（OR 1.52，95 % CI 1.03-2.26，p = 0.03）。亚组分析表明，类风湿性关节炎（RA）患者的风险较高（OR 2.25，95 % CI 1.13-4.45，p = 0.02），而强直性脊柱炎（AS）或银屑病（Ps）患者的风险则不明显。结论我们的研究强调了TNF-α拮抗剂治疗会增加结核病的患病风险，尤其是在RA患者中。然而，AS或Ps患者中没有明显的相关性，这表明结核病的风险存在疾病特异性差异。需要进一步开展研究，以阐明TNF-α拮抗剂药物的长期安全性及其与不同患者群体结核病风险的关系。
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引用次数: 0
Climate change and arboviruses_a growing threat to public health 气候变化与虫媒病毒_对公众健康的威胁与日俱增
IF 2.9 Q2 INFECTIOUS DISEASES
New Microbes and New Infections
Pub Date : 2024-11-15 DOI: 10.1016/j.nmni.2024.101532
Fatemeh Sadat Mousavi, Mohammad Shenagari, Seyyed Mohammed Reza Hashemnia, Milad Zandi
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引用次数: 0
Dengue fever in Iran: An emerging threat requiring urgent public health interventions 伊朗的登革热：需要采取紧急公共卫生干预措施的新威胁
IF 2.9 Q2 INFECTIOUS DISEASES
New Microbes and New Infections
Pub Date : 2024-11-14 DOI: 10.1016/j.nmni.2024.101535
Hassan Karami, Mostafa Salehi-Vaziri
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引用次数: 0
Kumbh Mela 2025: A perfect storm for Zika, Nipah, and Mpox in India? 2025 年印度昆布节：印度寨卡、尼帕和痘疹的完美风暴？
IF 2.9 Q2 INFECTIOUS DISEASES
New Microbes and New Infections
Pub Date : 2024-11-14 DOI: 10.1016/j.nmni.2024.101537
Manvinder Brar, Sanjit Sah, Prakriti Pokhrel, Rachana Mehta, Ganesh Bushi, Ashok Kumar Balaraman, Sakshi Pandey, Amogh Verma
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引用次数: 0
Time series modelling and forecasting of Monkeypox outbreak trends Africa's in most affected countries 猴痘爆发趋势的时间序列建模和预测 非洲受影响最严重国家的猴痘爆发趋势
IF 2.9 Q2 INFECTIOUS DISEASES
New Microbes and New Infections
Pub Date : 2024-11-14 DOI: 10.1016/j.nmni.2024.101526
Diptismita Jena , Sathvik Belagodu Sridhar , Javedh Shareef , Sirajunisa Talath , Suhas Ballal , Sanjay Kumar , Mahakshit Bhat , Shilpa Sharma , M Ravi Kumar , Ashish Singh Chauhan , Abhay M. Gaidhane , Neha Agarwal , Ganesh Bushi , Muhammed Shabil , Quazi Syed Zahiruddin , Aroop Mohanty , Jaffar A. Al-Tawfiq , Ranjit Sah

Background

The recent outbreak of Monkeypox (Mpox), particularly the clade 1b variant, have shifted the epidemiological landscape, making it a Public Health Emergency of International Concern. Africa remains a hotspot with significant ongoing outbreaks, necessitating a focused study on outbreak trends and forecasting to guide health interventions.

Methods

This study utilizes a comprehensive dataset from the four most affected African countries, covering weekly and cumulative Mpox cases from August 6, 2023, to August 18, 2024. Time series analysis techniques, including ARIMA models and Join Point Regression, were employed to forecast Mpox trends and analyse the annual percentage change in new cases.

Results

Descriptive statistics highlighted significant variability in Mpox cases across the studied regions with the mean cases in Africa at 72.55 and a high standard deviation of 60.885. Forecasting models suggest a continued increase in Mpox cases, with cumulative cases expected to reach 6922.95 by the 65th week (95 % CI: 6158.62 to 7687.27) and new cases projected at 45.93 (95 % CI: −88.17 to 180.04).

Conclusion

The study underscores the persistent nature of Mpox outbreaks in Africa and the critical need for continuous surveillance and adaptive public health strategies. The forecasts generated offer valuable insights into potential future trends, aiding in the allocation of resources and the implementation of targeted health interventions to curb the spread of the disease.
背景最近爆发的猴痘（Mpox）疫情，尤其是1b变种，改变了流行病学的格局，使其成为国际关注的公共卫生紧急事件。非洲仍是疫情热点地区，疫情持续严重，因此有必要对疫情趋势和预测进行重点研究，以指导卫生干预措施。 本研究利用了来自四个受影响最严重的非洲国家的综合数据集，涵盖了从 2023 年 8 月 6 日至 2024 年 8 月 18 日的每周和累计猴痘病例。研究采用了时间序列分析技术（包括 ARIMA 模型和连接点回归）来预测天花趋势，并分析新增病例的年度百分比变化。结果描述性统计突显了所研究地区天花病例的显著差异，非洲的平均病例数为 72.55 例，标准偏差高达 60.885 例。预测模型显示，麻痘病例将持续增加，预计到第 65 周，累计病例将达到 6922.95 例（95 % CI：6158.62 至 7687.27），新增病例预计为 45.93 例（95 % CI：-88.17 至 180.04）。预测结果为了解未来的潜在趋势提供了宝贵的信息，有助于分配资源和实施有针对性的卫生干预措施，以遏制疾病的传播。
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引用次数: 0
Zambia's first Mpox case: An emerging challenge in Southern Africa amid a global health crisis 赞比亚首例麻风腮病例：全球健康危机下南部非洲面临的新挑战
IF 2.9 Q2 INFECTIOUS DISEASES
New Microbes and New Infections
Pub Date : 2024-11-14 DOI: 10.1016/j.nmni.2024.101536
Rodrigue Ndabashinze, Benjamin Wafula Simiyu, Sanjit Sah, Rachana Mehta, Ganesh Bushi, Ashok Kumar Balaraman, Sakshi Pandey, Manvinder Brar, Amogh Verma
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引用次数: 0
Towards safer practices: A spotlight on foodborne botulism following the recent outbreak in Saudi Arabia in 2024 实现更安全的做法：2024 年沙特阿拉伯最近爆发肉毒杆菌中毒事件后的食源性肉毒杆菌中毒问题聚焦
IF 2.9 Q2 INFECTIOUS DISEASES
New Microbes and New Infections
Pub Date : 2024-11-14 DOI: 10.1016/j.nmni.2024.101534
Muna Horabi, Dalia Zayed, Ala'a B. Al-Tammemi
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引用次数: 0
The growing risk of avian influenza (H5N1) in dairy cows: Clinical, economic, and public health consequences 奶牛感染禽流感（H5N1）的风险越来越大：临床、经济和公共卫生后果
IF 2.9 Q2 INFECTIOUS DISEASES
New Microbes and New Infections
Pub Date : 2024-11-13 DOI: 10.1016/j.nmni.2024.101531
Md. Amir Hossain, Md. Abdul Monem, Asma Akther Rina
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引用次数: 0
Marburg virus disease Mayhem: A new threat emerges in Rwanda 马尔堡病毒病肆虐：卢旺达出现新威胁
IF 2.9 Q2 INFECTIOUS DISEASES
New Microbes and New Infections
Pub Date : 2024-11-06 DOI: 10.1016/j.nmni.2024.101530
Pawan Kumar , Jezina Jayan , Ashok Kumar Balaraman, Sakshi Pandey, Manvinder Brar, Rachana Mehta, Sanjit Sah
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引用次数: 0
First clade 1b mpox variant case outside Africa detected in Germany: A global health alert 德国发现非洲以外首个 1b 支系 mpox 变异病例：全球健康警报
IF 2.9 Q2 INFECTIOUS DISEASES
New Microbes and New Infections
Pub Date : 2024-11-06 DOI: 10.1016/j.nmni.2024.101528
Victor Abiola Adepoju, Safayet Jamil
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引用次数: 0
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