Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Jeng-How Yang has a total of 48 co-authors. Here are the top co-authors by number of shared publications:

  • Ting-Shu Wu

    Division of Infectious Diseases, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital , Taoyuan

    4 shared publications
  • Po-Yen Huang

    Division of Infectious Diseases, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital, 5 Fuxing St., Guishan Dist., Taoyuan 33305, Taiwan; School of Medicine, National Tsing Hua University, 101, Sec. 2, Kuang-Fu Rd., Hsinchu 300044, Taiwan

    2 shared publications
  • Shian-Sen Shie

    Division of Infectious Diseases, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital, 5 Fuxing St., Guishan Dist., Taoyuan 33305, Taiwan; School of Medicine, College of Medicine, Chang Gung University, 259 Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan

    2 shared publications
  • Shu-Chun Huang

    Graduate Institute of Clinical Medical Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Physical Medicine and Rehabilitation, New Taipei Municipal Tucheng Hospital, Chang Gung Memorial Hospital, New Taipei City 236, Taiwan

    2 shared publications
  • Chang-Mei Lin

    Circulating Tumor Cell Lab, Division of Hematology-Oncology, Department of Internal Medicine, New Taipei Municipal TuCheng Hospital, Chang Gung Medical Foundation, New Taipei City 236, Taiwan

    1 shared publication
  • Chang-Wei Lin

    School of Medicine, College of Medicine, Chang Gung University, 259 Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan; Division of Thoracic Medicine, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital, 5 Fuxing St., Guishan Dist., Taoyuan 33305, Taiwan

    1 shared publication

Latest Publications

  • Comparative risk of infections with GLP-1 receptor agonists versus SGLT2 inhibitors in patients with advanced chronic kidney disease and type 2 diabetes

    by Ching Chung Hsiao, Jia-Jin Chen, Shu-Chun Huang, Chieh-Li Yen, Wen-Yu Ho, Yu-Wei Fang, Mon-Ting Chen, Jeng How Yang, Ming-Hsien Tsai


  • Open Access

    PhenoAge acceleration predicts antibody persistence and breakthrough infection after SARS-CoV-2 vaccination and infection

    by Jeng-How Yang, Chia-Lin Lee, Ya-Fang Chiu, Sherry Yueh-Hsia Chiu, Li-Jen Wang, Ting-Wen Sheng, Shao-Chung Wang, Shu-Chun Huang, Shih-Hao Huang, Chang-Mei Lin, et al.

  • Open Access

    A retrospective cohort study of Mycobacterium kansasii complex pulmonary infections at a tertiary teaching hospital

    by Yi-Chi Lin, Hsiu-Hui Lee, Chong Kei Lao, Jeng-How Yang, Nan-Yu Chen, Chun-Fu Yeh, Po-Yen Huang, Shian-Sen Shie, Wen-Chi Huang, Chang-Wei Lin, et al.

  • Open Access

    Lack of Association between YEASTONE Antifungal Susceptibility Tests and Clinical Outcomes of Cryptococcus Meningitis

    by Ting-Shu Wu, Jung-Fu Lin, Chun-Wen Cheng, Po-Yen Huang, Jeng-How Yang

    The relation between antifungal susceptibility and treatment outcomes is not well-characterized. There is paucity of surveillance data for cerebrospinal fluid (CSF) isolates of cryptococcus investigated with YEASTONE colorimetric broth microdilution susceptibility testing. A retrospective study of laboratory-confirmed cryptococcus meningitis (CM) patients was conducted. The antifungal susceptibility of CSF isolates was determined using YEASTONE colorimetric broth microdilution. Clinical parameters, CSF laboratory indices, and antifungal susceptibility results were analyzed to identify risk factors for mortality. High rates of resistance to fluconazole and flucytosine were observed in this cohort. Voriconazole had the lowest MIC (0.06 µg/mL) and lowest rate of resistance (3.8%). In a univariate analysis, hematological malignancy, concurrent cryptococcemia, high Sequential Organ Failure Assessment (SOFA) score, low Glasgow coma scale (GCS) score, low CSF glucose level, high CSF cryptococcal antigen titer, and high serum cryptococcal antigen burden were associated with mortality. In a multivariate analysis, meningitis with concurrent cryptococcemia, GCS score, and high CSF cryptococcus burden, were independent predictors of poor prognosis. Both early and late mortality rates were not significantly different between CM wild type and non-wild type species.


  • Open Access

    Treatment Outcome in Patients with Mycobacterium abscessus Complex Lung Disease: The Impact of Tigecycline and Amikacin

    by Jeng-How Yang, Ping-Huai Wang, Sheng-Wei Pan, Yu-Feng Wei, Chung-Yu Chen, Ho-Sheng Lee, Chin-Chung Shu, Ting-Shu Wu

    Background: The contemporary guidelines have recommended multiple antimicrobial therapies along with oral macrolides for the treatment of Mycobacterium abscessus complex lung disease (MABC-LD). However, there is little evidence supporting the parenteral tigecycline-containing regimens against MABC-LD. Therefore, we conducted this study to evaluate the effect of intravenous tigecycline-containing regimens on the treatment of MABC-LD. Methods: A retrospective study was conducted in 6 medical centers. Patients with MABC-LD that were followed up at ≥12 months were enrolled. Mycobacterium abscessus subspecies were identified by hsp65, rpoB, secA1 gene PCR, and sequencing. Antimicrobial susceptibility was determined for 34 patients using broth microdilution methods following the Clinical and Laboratory Standards Institute (CLSI) guideline. The microbiology and treatment outcomes were defined as either success or failure. The impacts of tigecycline and amikacin were adjusted for age, comorbidities, surgical resection, and radiologic scores. Results: During the study period, seventy-one patients were enrolled for final analysis. The microbiology failure rate was 61% (43/71) and the treatment failure rate was 62% (44/71). For M. abscessus complex, 97% (33/34) of tigecycline MIC were ≤1 mg/L. Amikacin also demonstrated great susceptibility (94.1%; 32/34). Treatment with regimens containing tigecycline plus amikacin provided better microbiology success (adjusted OR 17.724; 95% CI 1.227–267.206) and treatment success (adjusted OR 14.085; 95% CI 1.103–166.667). Conclusion: The outcome of MABC-LD is always unsatisfactory. Treatment regimens with oral macrolide in combination with tigecycline and amikacin were correlated with increased microbiology success and less treatment failure.


  • Antifungal susceptibility testing with YeastONE™ is not predictive of clinical outcomes of Cryptococcus neoformans var. grubii fungemia

    by Jeng-How Yang, Po-Yen Huang, Chun-Wen Cheng, Shian-Sen Shie, Zhong-Fu Lin, Lan-Yan Yang, Chia-Hui Lee, Ting-Shu Wu

    Mortality rates due to Cryptococcus neoformans var. grubii fungemia remain significant despite treatment with antifungal drugs. The predictive function of antifungal susceptibility and its correlation with treatment outcome remains controversial. A retrospective study was conducted from January 1, 2009, to December 31, 2016, on 85 patients with C. neoformans var. grubii fungemia confirmed by matrix-assisted laser desorption ionization–time-of-flight mass spectrometry. Antifungal drug susceptibility was determined using the YeastONE™ colorimetric broth microdilution method coupled with Vizion™ System following the Clinical and Laboratory Standards Institute guidelines. Six antifungal agents—amphotericin B, fluconazole, flucytosine, itraconazole, posaconazole, and voriconazole—were tested. The patients’ demographic data and clinical information were abstracted for further analyses. Antifungal regimens consisting of amphotericin B with or without fluconazole or flucytosine were administered for induction treatment of these patients, followed with intravenous or oral fluconazole for maintenance therapy. Clinical outcomes were defined by 14- and 30-day mortality rates. Risk factors associated with outcomes were fitted in a logistic regression model by univariate or multivariate method. Eighty-five patients with C. neoformans var. grubii fungemia were enrolled in the study. The Sequential Organ Failure Assessment Score, Glasgow Coma Scale, Charlson comorbidity score, and adequate duration of therapy for amphotericin B were predictors for mortality in univariate analysis. Antifungal susceptibility testing with YeastONE™ does not predict clinical outcomes of C. neoformans var. grubii fungemia. Greater disease severity, high comorbidities, poor consciousness level, and inappropriate treatment were associated with increased mortality in cryptococcemia cases. Cryptococcus neoformans is an encapsulated yeast living in both plants and animals that is composed of three main serotypes: C. neoformans var. grubii, C. neoformans var. gattii, and C. neoformans var. neoformans. C. neoformans var. grubii is the most common disease-causing Cryptococcus species worldwide. C. neoformans var. gattii is more prevalent than C. neoformans var. neoformans in both tropical and subtropical regions of Asia. C. neoformans causes severe, even fatal, diseases such as pulmonary infection, bloodstream infection, skin and soft tissue infection, bone and joint infection, central nervous system infection, and disseminated infection, regardless of host immunocompetence. We conducted a retrospective study on 85 patients who contracted cryptococcemia from January 1, 2009, to December 31, 2016. This work conducted both microbiological and clinical studies involving in vitro susceptibility testing, demographic data, comorbidities, treatment modalities, and treatment outcomes. We utilized a modern medical technique-based instrument, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-ToF MS; Biotyper, Bruker Daltonics, Inc.), which determines the unique proteomic fingerprint of an organism, to identify the C. neoformans serotype. We utilized Thermo Fisher Scientific™ Sensititre™ YeastONE™ colorimetric broth microdilution plates coupled with a Vizion™ Digital MIC Viewing System (a computer-assisted optical reading machine) to determine the in vitro susceptibility of amphotericin B, flucytosine, fluconazole, itraconazole, posaconazole, and voriconazole against 85 C. neoformans var. grubii blood isolates. In conclusion, the susceptibility patterns of these antifungal agents did not correlate significantly with treatment outcomes. However, a lower disease severity score, a lower Glasgow Coma Scale score, fewer comorbidities, and adequate amphotericin B treatment duration were predictors for treatment success in univariate analysis.