Neng-ming Lin

Prof. Neng-ming Lin


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 July 2021 in BMC Infectious Diseases
Verified
Journal Article
Open access
PDF file
CSChangcheng Shi
Changcheng Shi
LWLimin Wang
Limin Wang
JYJian Ye
Jian Ye
ZGZhichun Gu
Zhichun Gu
SWShuying Wang
Shuying Wang
NLNeng-ming Lin
Neng-ming Lin
Background: Coronavirus disease 2019 (COVID-19) is associated with a high mortality rate, especially in patients with severe illness. We conducted a systematic review and meta-analysis to assess the potential predictors of mortality in patients with COVID-19. Methods: PubMed, EMBASE, the Cochrane Library, and three electronic Chinese databases were searched from December 1, 2019 to April 29, 2020. Eligible studies reporting potential predictors of mortality in patients with COVID-19 were identified. Unadjusted prognostic effect estimates were pooled using the random-effects model if data from at least two studies were available. Adjusted prognostic effect estimates were presented by qualitative analysis. Results: Thirty-six observational studies were identified, of which 27 were included in the meta-analysis. A total of 106 potential risk factors were tested, and the following important predictors were associated with mortality: advanced age, male sex, current smoking status, preexisting comorbidities (especially chronic kidney, respiratory, and cardio-cerebrovascular diseases), symptoms of dyspnea, complications during hospitalization, corticosteroid therapy and a severe condition. Additionally, a series of abnormal laboratory biomarkers of hematologic parameters, hepatorenal function, inflammation, coagulation, and cardiovascular injury were also associated with fatal outcome. Conclusion: We identified predictors of mortality in patients with COVID-19. These findings could help healthcare providers take appropriate measures and improve clinical outcomes in such patients.

21 August 2020 in Oncogene
Verified
Journal Article
Closed access
PDF file
YLYang-Ling Li
Yang-Ling Li
LWLin-Wen Wu
Lin-Wen Wu
LZLing-Hui Zeng
Ling-Hui Zeng
ZZZuo-Yan Zhang
Zuo-Yan Zhang
WWWei Wang
Wei Wang
NLNeng-ming Lin
Neng-ming Lin

23 December 2013 in Acta Pharmacologica Sinica
Verified
Journal Article
Closed access
PDF file
YXYa-Si Xu
Ya-Si Xu
JFJian-Guo Feng
Jian-Guo Feng
DZDan Zhang
Dan Zhang
BZBo Zhang
Bo Zhang
MLMin Luo
Min Luo
NLNeng-ming Lin
Neng-ming Lin

28 January 2019 in Clinical Pharmacokinetics
Verified
Journal Article
Open access
PDF file
CSChangcheng Shi
Changcheng Shi
YXYubo Xiao
Yubo Xiao
YMYong Mao
Yong Mao
JWJing Wu
Jing Wu
NLNeng-ming Lin
Neng-ming Lin
Numerous population pharmacokinetic studies on voriconazole have been conducted in recent years. This review aimed to comprehensively summarize the population pharmacokinetic models for voriconazole and to determine which covariates have been identified and which remain to be explored. We searched the PubMed and EMBASE databases from inception to March 2018 for population pharmacokinetic analyses of voriconazole using the nonlinear mixed-effect method. A total of 16 studies were included in this review, of which 11 models were described in adult populations, four were described in pediatric populations, and the remaining study included both adult and pediatric populations. The absorption profiles of voriconazole in both adult and pediatric studies were best described as first-order absorption models. The typical distribution volumes were similar in adult and pediatric patients, but the estimated clearances in pediatric patients were significantly higher than those in adult patients. The most commonly identified covariates were body weight, the cytochrome P450 2C19 genotype, liver function, and concomitant medications. Only one study evaluated the model using an external method. Further population pharmacokinetic studies on pediatric patients aged younger than 2 years are warranted. Furthermore, new or controversial potential covariates, such as inflammation, the cytochrome P450 3A4 genotype, concomitant medications (particularly various types and dosages of proton pump inhibitors and glucocorticoids), and various measures of body weight, should be tested because the unexplained variability remains relatively high. In addition, previously published models should be externally evaluated, and the predictive performance of the various models should be compared.

22 December 2021 in Mycoses
Verified
Journal Article
Open access
PDF file
CSChangcheng Shi
Changcheng Shi
QSQiyuan Shan
Qiyuan Shan
JXJunbo Xia
Junbo Xia
LWLiusheng Wang
Liusheng Wang
LWLinling Wang
Linling Wang
LWLimin Wang
Limin Wang
Background: An increasing number of cases of invasive pulmonary aspergillosis (IPA) complicating influenza have been described. We performed a meta‐analysis to estimate the incidence, risk factors and outcomes of IPA in patients with influenza.Methods: A systematic search was conducted in the PubMed, EMBASE and Cochrane Library databases from their inception to 31 August 2021 for eligible studies. Data on the incidence and risk factors of and mortality due to IPA in influenza patients were pooled using a random‐effects model. Sensitivity analyses restricted to severe influenza requiring intensive care unit (ICU) support and multiple subgroup analyses were performed.Results: Fourteen studies involving 6024 hospitalised patients with influenza were included. IPA was estimated to occur in 10% of influenza patients, with a mortality rate of 52%. Similar incidence (11%) and mortality (54%) estimates for IPA were observed in the sensitivity analysis including severe cases requiring ICU support. Subgroup analysis by geographical location showed a similar IPA rate between European (10%) and non‐European (11%) studies. The IPA rate in the subset of nine studies using the modified AspICU criteria was 13%. Most subgroup analyses showed ≥50% mortality in IPA patients. Several predictors for IPA susceptibility were identified, including male sex, smoking history, chronic lung disease, influenza A (H1N1), severe conditions requiring supportive therapy, corticosteroid use before admission, solid organ transplant and haematological malignancy.Conclusions: The IPA is common in individuals with severe influenza, and the prognosis is particularly poor. Influenza patients, especially those with high‐risk factors, should be thoroughly screened for IPA.

11 October 2018 in BMC Infectious Diseases
Verified
Journal Article
Open access
PDF file
CSChangcheng Shi
Changcheng Shi
YXYubo Xiao
Yubo Xiao
QZQi Zhang
Qi Zhang
QLQingyu Li
Qingyu Li
FWFei Wang
Fei Wang
NLNeng-ming Lin
Neng-ming Lin
Antistaphylococcal penicillins (ASPs) and cefazolin have become the most frequent choices for the treatment of methicillin-susceptible Staphylococcus aureus (MSSA) infections. However, the best therapeutic agent to treat MSSA bacteremia remains to be established. We conducted a systematic review and meta-analysis to evaluate the efficacy and safety of these two regimens for the treatment of MSSA bacteremia. PubMed, EMBASE and the Cochrane Library from inception to February 2018 were searched. The primary outcome was mortality. The secondary outcomes included treatment failure, recurrence of bacteremia, adverse effects (AEs) and discontinuation due to AEs. Data were extracted and pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. A total of ten observational studies met the inclusion criteria. The results indicate that compared to ASPs, cefazolin was associated with significant reduction in mortality (OR, 0.69; 95% CI, 0.58 to 0.82; I2 = 3.4%) and clinical failure (OR, 0.56; 95% CI, 0.37 to 0.85; I2 = 44.9%) without increasing the recurrence of bacteremia (OR, 1.12; 95% CI, 0.94 to 1.34; I2 = 0%). There were no significant differences for the risk of anaphylaxis (OR, 0.91; 95% CI, 0.36 to 2.99; I2 = 0%) or hematotoxicity (OR, 0.56; 95% CI, 0.17 to 1.88; I2 = 0%). However, nephrotoxicity (OR, 0.36; 95% CI, 0.16 to 0.81; I2 = 0%) and hepatotoxicity (OR, 0.12; 95% CI, 0.04 to 0.41; I2 = 0%) were significantly lower in the cefazolin group. Moreover, cefazolin was associated with lower probability of discontinuation due to AEs compared with the ASPs (OR, 0.24; 95% CI, 0.12 to 0.48; I2 = 18%). The results of present study favor the application of cefazolin and should be regarded as important evidence to help make clinical decisions in choosing a treatment option for treating MSSA bacteremia.