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1.
Article in English | WPRIM (Western Pacific) | ID: wpr-1010971

ABSTRACT

Acute lung injury/acute respiratory distress syndrome (ALI/ARDS) is characterized by diffuse alveolar injury primarily caused by an excessive inflammatory response. Regrettably, the lack of effective pharmacotherapy currently available contributes to the high mortality rate in patients with this condition. Xuebijing (XBJ), a traditional Chinese medicine recognized for its potent anti-inflammatory properties, exhibits promise as a potential therapeutic agent for ALI/ARDS. This study aimed to explore the preventive effects of XBJ on ALI and its underlying mechanism. To this end, we established an LPS-induced ALI model and treated ALI mice with XBJ. Our results demonstrated that pre-treatment with XBJ significantly alleviated lung inflammation and increased the survival rate of ALI mice by 37.5%. Moreover, XBJ substantially suppressed the production of TNF-α, IL-6, and IL-1β in the lung tissue. Subsequently, we performed a network pharmacology analysis and identified identified 109 potential target genes of XBJ that were mainly involved in multiple signaling pathways related to programmed cell death and anti-inflammatory responses. Furthermore, we found that XBJ exerted its inhibitory effect on gasdermin-E-mediated pyroptosis of lung cells by suppressing TNF-α production. Therefore, this study not only establishes the preventive efficacy of XBJ in ALI but also reveals its role in protecting alveolar epithelial cells against gasdermin-E-mediated pyroptosis by reducing TNF-α release.


Subject(s)
Animals , Mice , Alveolar Epithelial Cells , Pyroptosis , Gasdermins , Lipopolysaccharides/adverse effects , Tumor Necrosis Factor-alpha , Acute Lung Injury/drug therapy , Respiratory Distress Syndrome, Newborn
2.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-989364

ABSTRACT

ICU acute respiratory distress syndrome has a high morbidity and mortality rate, and these patients usually need mechanical ventilation to maintain their respiratory function during treatment. However, improper setting of mechanical ventilation parameters may lead to ventilator-induced lung injury (VILI). In order to effectively prevent the occurrence of VILI, ARDSnet recommends the use of a protective ventilation strategy with low tidal volume and limited airway plateau pressure. However, from the perspective of ventilator energy transfer, VILI is actually the result of a combination of respiratory parameters such as tidal volume, airway pressure, and respiratory rate. The mechanical power well reflects the combined effect of the above parameters and is increasingly becoming a hot topic in clinical research. In this review paper, the definitions of mechanical energy and mechanical power were introduced, and the calculation methods of mechanical power under different respiratory modes are summarized. Moreover, the clinical studies related to mechanical power and VILI and further exploration of the safety threshold of mechanical power are reviewed. It is expected to provide new ideas for the future clinical development of personalized mechanical ventilation strategies and the effective prevention of VILI.

3.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-956427

ABSTRACT

Objective:To investigate the clinical characteristics and prognostic factors of 2019 novel coronavirus (2019-nCoV) Omicron variant infected cases.Methods:A total of 987 coronavirus disease 2019 (COVID-19) adult imported cases admitted to Shanghai Public Health Clinical Center, Fudan University from July 1, 2021 to January 6, 2022 were recruited. The cases were divided into Omicron group (193 cases) and non-Omicron group (794 cases) according to the genotype of the virus. The clinical data, imaging examination and laboratory results of two groups were collected and compared. Chi-square test and Mann-Whitney U test were used as statistical methods. Multiple linear regression analysis was used for multiple linear regression analysis. Results:The majority of patients in Omicron group were 18 to 30 years old, accounting for 51.3%(99/193), which was higher than 31.4%(249/794) in non-Omicron group. The difference was statistically significant ( χ2=52.75, P<0.001). The proportion of mild cases in Omicron group was 88.6%(171/193), which was higher than 81.6%(648/794) in non-Omicron group. The difference was statistically significant ( χ2=5.37, P=0.021). Cases with symptoms were more common in Omicron group than those in non-Omicron group (60.1%(116/193) vs 29.1%(231/794)), and the difference was statistically significant ( χ2=65.49, P<0.001), with the main clinical manifestations of sore/itchy throat, fever and cough/expectoration. The proportion of cases with pulmonary computed tomography (CT) imaging manifestations at admission in Omicron group was 13.0%(25/193), which was lower than that in non-Omicron group (215/794, 27.1%). The difference was statistically significant ( χ2=16.83, P<0.001). The proportion of cases with 2019-nCoV IgG positive at admission was 47.7%(92/193) in Omicron group, which was lower than 61.1%(485/794) in non-Omicron group, and the difference was statistically significant ( χ2=11.51, P<0.001). The hospitalization time of Omicron group was 20.0 (16.0, 23.0) d, which was longer than that of non-Omicron group (14.0 (10.0, 22.0) d), and the difference was statistically significant ( Z=-7.42, P<0.001). Multiple linear regression analysis showed that the time of hospitalization of cases with 2019-nCoV IgG positive at admission was shorter, while that of the cases with fever in Omicron group was longer (both P<0.050). Conclusions:The main clinical characteristics of cases with Omicron variant are fever and upper respiratory symptoms. Their pulmonary CT imaging manifestations are less, and the time of hospitalization is slightly longer. The time of hospitalization and the virus clearance time in Omicron variant infected cases with 2019-nCoV IgG positive at admission and not presented with fever are both shorter.

4.
Chinese Critical Care Medicine ; (12): 774-778, 2021.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-909403

ABSTRACT

Objective:To evaluate the effect of Xuebijing injection on the improvement of pneumonia severity index (PSI) and prognosis in patients with severe coronavirus disease 2019 (COVID-19).Methods:A multicenter prospective cohort study was designed. Adult patients with COVID-19 admitted to the intensive care unit (ICU) of 28 designated COVID-19 hospitals in 15 provinces and cities of China from January to March 2020 were enrolled. All patients were treated according to the standard treatment plan of COVID-19 issued by the National Health Commission of the People's Republic of China. They were divided into Xuebijing group and standard treatment group according to whether they received Xuebijing injection or not. In the standard treatment group, routine medical care measures such as antiviral, respiratory support, circulatory support and symptomatic treatment were taken. In the Xuebijing group, on the basis of standard treatment, Xuebijing was used within 12 hours of admission to the ICU, 100 mL each time, twice daily. The minimum duration of Xuebijing administration was 1 day. The improvement rate of PSI risk rating on the 8th day and clinical outcome on the 28th day were recorded.Results:A total of 276 COVID-19 patients were screened continuously, and the data of 144 severe patients who met PSI risk rating Ⅲ-Ⅴ were analyzed. Seventy-two cases were involved each in standard treatment group and Xuebijing group. The average age of the standard treatment group and Xuebijing group were (65.7±7.9) years old and (63.5±10.9) years old, and male accounted for 75.0% (54/72) and 70.8% (51/72), respectively. There were no significant differences in general conditions, comorbidities, PSI risk rating and score, sequential organ failure assessment (SOFA) score, oxygenation index (PaO 2/FiO 2), respiratory support mode and other baseline indicators between the two groups. Compared with the standard treatment group, the improvement rate of PSI risk rating in Xuebijing group on the 8th day after admission was significantly improved [56.9% (41/72) vs. 20.8% (15/72), between-group difference and 95% confidence interval (95% CI) was 36.1% (21.3% to 50.9%), P < 0.01], PSI score, SOFA score and PaO 2/FiO 2 were significantly improved [PSI score: 83.7±34.8 vs. 108.2±25.6, between-group difference (95% CI) was -24.5 (-34.9 to -14.1); SOFA score: 2.0 (1.0, 4.0) vs. 7.0 (4.0, 10.0), between-group difference (95% CI) was -3.5 (-5.0 to -2.0); PaO 2/FiO 2 (mmHg, 1 mmHg = 0.133 kPa): 289.4±111.6 vs. 188.5±98.1, between-group difference (95% CI) was 100.9 (65.3 to 136.5); all P < 0.01]. The 28-day discharge rate of Xuebijing group was 44.5% higher than that of standard treatment group [66.7% (48/72) vs. 22.2% (16/72), P < 0.01], and the 28-day survival rate was 9.8% [91.7% (66/72) vs. 81.9% (59/72), P < 0.01]. There was no significant difference in the combination of antiviral drugs, antibiotics, anticoagulants and vasopressor drugs between the two groups. There was no significant difference in the incidence of adverse events between the Xuebijing group and standard treatment group [41.7% (30/72) vs. 43.1% (31/72), P > 0.05], and no serious adverse events and adverse reactions of Xuebijing were reported. Conclusion:Standard treatment combined with Xuebijing injection can significantly improve the PSI risk score and clinical prognosis of patients with severe COVID-19 without increasing drug safety risk.

5.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-908894

ABSTRACT

Objective:To explore the effect of mini-clinical evaluation exercise (MiniCEX) and direct observation of procedural skills (DOPS) formative evaluation in standardized residency training of respiratory and critical care medicine.Methods:The residents who participated in standardized residency training of Zhongshan Hospital, Fudan Unviersity in 2019 were collected in study group, and the residents received the training in previous were collected in control group. The graduation examination scores, the effect of progressive rotations and the satisfaction of residents and examiners were compared between the two groups.Results:The scores of medical history writing, operation and clinical abilities were higher in the study group who were received MiniCEX-DOPS formative evaluation than those in the control group ( P<0.05). The scores of MiniCEX-DOPS evaluation in the third rotation were better than those in the first rotation ( P<0.05). The residents and examiners were generally satisfied with MiniCEX-DOPS evaluation. Conclusion:MiniCEX-DOPS evaluation is effective in residents training of respiratory and critical care medicine, and it is worth popularizing.

6.
Preprint in English | medRxiv | ID: ppmedrxiv-20163402

ABSTRACT

BackgroundThe outbreak of coronavirus disease 2019 (COVID-19) has become a global pandemic acute infectious disease, especially with the features of possible asymptomatic carriers and high contagiousness. It causes acute respiratory distress syndrome and results in a high mortality rate if pneumonia is involved. Currently, it is difficult to quickly identify asymptomatic cases or COVID-19 patients with pneumonia due to limited access to reverse transcription-polymerase chain reaction (RT-PCR) nucleic acid tests and CT scans, which facilitates the spread of the disease at the community level, and contributes to the overwhelming of medical resources in intensive care units. GoalThis study aimed to develop a scientific and rigorous clinical diagnostic tool for the rapid prediction of COVID-19 cases based on a COVID-19 clinical case database in China, and to assist global frontline doctors to efficiently and precisely diagnose asymptomatic COVID-19 patients and cases who had a false-negative RT-PCR test result. MethodsWith online consent, and the approval of the ethics committee of Zhongshan Hospital Fudan Unversity (approval number B2020-032R) to ensure that patient privacy is protected, clinical information has been uploaded in real-time through the New Coronavirus Intelligent Auto-diagnostic Assistant Application of cloud plus terminal (nCapp) by doctors from different cities (Wuhan, Shanghai, Harbin, Dalian, Wuxi, Qingdao, Rizhao, and Bengbu) during the COVID-19 outbreak in China. By quality control and data anonymization on the platform, a total of 3,249 cases from COVID-19 high-risk groups were collected. These patients had SARS-CoV-2 RT-PCR test results and chest CT scans, both of which were used as the gold standard for the diagnosis of COVID-19 and COVID-19 pneumonia. In particular, the dataset included 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, and 122 asymptomatic cases who had positive RT-PCR test results, amongst whom 31 cases were diagnosed. We also integrated the function of a survey in nCapp to collect user feedback from frontline doctors. FindingsWe applied the statistical method of a multi-factor regression model to the training dataset (1,624 cases) and developed a prediction model for COVID-19 with 9 clinical indicators that are fast and accessible: Residing or visiting history in epidemic regions, Exposure history to COVID-19 patient, Dry cough, Fatigue, Breathlessness, No body temperature decrease after antibiotic treatment, Fingertip blood oxygen saturation [≤]93%, Lymphopenia, and C-reactive protein (CRP) increased. The area under the receiver operating characteristic (ROC) curve (AUC) for the model was 0.88 (95% CI: 0.86, 0.89) in the training dataset and 0.84 (95% CI: 0.82, 0.86) in the validation dataset (1,625 cases). To ensure the sensitivity of the model, we used a cutoff value of 0.09. The sensitivity and specificity of the model were 98.0% (95% CI: 96.9%, 99.1%) and 17.3% (95% CI: 15.0%, 19.6%), respectively, in the training dataset, and 96.5% (95% CI: 95.1%, 98.0%) and 18.8% (95% CI: 16.4%, 21.2%), respectively, in the validation dataset. In the subset of the 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, the model predicted 132 cases, accounting for 96.4% (95% CI: 91.7%, 98.8%) of the cases. In the subset of the 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, the model predicted 59 cases, accounting for 95.2% (95% CI: 86.5%, 99.0%) of the cases. Considering the specificity of the model, we used a cutoff value of 0.32. The sensitivity and specificity of the model were 83.5% (95% CI: 80.5%, 86.4%) and 83.2% (95% CI: 80.9%, 85.5%), respectively, in the training dataset, and 79.6% (95% CI: 76.4%, 82.8%) and 81.3% (95% CI: 78.9%, 83.7%), respectively, in the validation dataset, which is very close to the published AI model. The results of the online survey Questionnaire Star showed that 90.9% of nCapp users in WeChat mini programs were satisfied or very satisfied with the tool. The WeChat mini program received a significantly higher satisfaction rate than other platforms, especially for availability and sharing convenience of the App and fast speed of log-in and data entry. DiscussionWith the assistance of nCapp, a mobile-based diagnostic tool developed from a large database that we collected from COVID-19 high-risk groups in China, frontline doctors can rapidly identify asymptomatic patients and avoid misdiagnoses of cases with false-negative RT-PCR results. These patients require timely isolation or close medical supervision. By applying the model, medical resources can be allocated more reasonably, and missed diagnoses can be reduced. In addition, further education and interaction among medical professionals can improve the diagnostic efficiency for COVID-19, thus avoiding the transmission of the disease from asymptomatic patients at the community level.

7.
Preprint in English | medRxiv | ID: ppmedrxiv-20028589

ABSTRACT

ImportanceHeart injury can be easily induced by viral infection such as adenovirus and enterovirus. However, whether coronavirus disease 2019 (COVID-19) causes heart injury and hereby impacts mortality has not yet been fully evaluated. ObjectiveTo explore whether heart injury occurs in COVID-19 on admission and hereby aggravates mortality later. Design, Setting, and ParticipantsA single-center retrospective cohort study including 188 COVID-19 patients admitted from December 25, 2019 to January 27, 2020 in Wuhan Jinyintan Hospital, China; follow up was completed on February 11, 2020. ExposuresHigh levels of heart injury indicators on admission (hs-TNI; CK; CK-MB; LDH; -HBDH). Main Outcomes and MeasuresMortality in hospital and days from admission to mortality (survival days). ResultsOf 188 patients with COVID-19, the mean age was 51.9 years (standard deviation: 14.26; range: 21[~]83 years) and 119 (63.3%) were male. Increased hs-TnI levels on admission tended to occur in older patients and patients with comorbidity (especially hypertension). High hs-TnI on admission ([≥] 6.126 pg/mL), even within the clinical normal range (0[~]28 pg/mL), already can be associated with higher mortality. High hs-TnI was associated with increased inflammatory levels (neutrophils, IL-6, CRP, and PCT) and decreased immune levels (lymphocytes, monocytes, and CD4+ and CD8+ T cells). CK was not associated with mortality. Increased CK-MB levels tended to occur in male patients and patients with current smoking. High CK-MB on admission was associated with higher mortality. High CK-MB was associated with increased inflammatory levels and decreased lymphocytes. Increased LDH and -HBDH levels tended to occur in older patients and patients with hypertension. Both high LDH and -HBDH on admission were associated with higher mortality. Both high LDH and -HBDH were associated with increased inflammatory levels and decreased immune levels. hs-TNI level on admission was negatively correlated with survival days (r= -0.42, 95% CI= -0.64[~]-0.12, P=0.005). LDH level on admission was negatively correlated with survival days (r= -0.35, 95% CI= -0.59[~]-0.05, P=0.022). Conclusions and RelevanceHeart injury signs arise in COVID-19, especially in older patients, patients with hypertension and male patients with current smoking. COVID-19 virus might attack heart via inducing inflammatory storm. High levels of heart injury indicators on admission are associated with higher mortality and shorter survival days. COVID-19 patients with signs of heart injury on admission must be early identified and carefully managed by cardiologists, because COVID-19 is never just confined to respiratory injury. Key pointsO_ST_ABSQuestionC_ST_ABSDoes coronavirus disease 2019 (COVID-19) cause heart injury and hereby impact mortality? FindingsIn this retrospective cohort study including 188 patients with COVID-19, patients with high levels of high-sensitivity cardiac troponin I (hs-TNI) on admission had significantly higher mortality (50.0%) than patients with moderate or low levels of hs-TNI (10.0% or 9.1%). hs-TNI level on admission was significantly negatively correlated with survival days (r= -0.42, 95% CI= -0.64[~]-0.12, P=0.005). MeaningCOVID-19 patients with signs of heart injury on admission must be early identified and carefully managed by cardiologists, in order to maximally prevent or rescue heart injury-related mortality in COVID-19.

8.
Preprint in English | medRxiv | ID: ppmedrxiv-20025031

ABSTRACT

ObjectiveTo describe and evaluate the impact of diseases control and prevention on epidemics dynamics and clinical features of SARS-CoV-2 outbreak in Shanghai. DesignA retrospective descriptive study SettingChina ParticipantsEpidemiology information was collected from publicly accessible database. 265 patients admitted to Shanghai Public Health Center with confirmed COVID-19 were enrolled for clinical features analysis. Main outcome measurePrevention and control measures taken by Shanghai government, epidemiological, demographic, clinical, laboratory and radiology data were collected. Weibull distribution, Chi-square test, Fishers exact test, t test or Mann-Whitney U test were used in statistical analysis. ResultsCOVID-19 transmission rate within Shanghai had reduced over 99% than previous speculated, and the exponential growth has been stopped so far. Epidemic was characterized by the first stage mainly composed of imported cases and the second stage where >50% of cases were local. The incubation period was 6.4 (95% CI 5.3 to 7.6) days and the mean onset-admission interval was 5.5 days (95% CI, 5.1 to 5.9). Median time for COVID-19 progressed to severe diseases were 8.5 days (IQR: 4.8-11.0 days). By February 11th, proportion of patients being mild, moderate, severe and critically ill were 1.9%(5/265), 89.8%(238/265), 3.8%(10/265), 4.5%(12/265), respectively; 47 people in our cohort were discharged, and 1 patient died. ConclusionStrict controlling of the transmission rate at the early stage of an epidemic in metropolis can quickly prohibit the spread of the diseases. Controlling local clusters is the key to prevent outbreaks from imported cases. Most COVID-19 severe cases progressed within 14 days of disease onset. Multiple systemic laboratory abnormalities had been observed before significant respiratory dysfunction.

9.
Journal of Medical Biomechanics ; (6): E378-E384, 2020.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-862395

ABSTRACT

Pulmonary fluid refers to a thin and continuous liquid layer mainly consisting of airway mucus and lining liquid on the inner surface of alveoli, which is essential for maintaining a healthy lung. The clinical significance of rheological properties of pulmonary fluid in airway stability, pulmonary barrier and clearance functions, ventilator induced lung injury and surfactant replacement therapy in infant respiratory distress syndrome was introduced in this paper. Furthermore, a variety of classical methods for measuring surface tension and liquid viscosity, such as Langmuir-Wilhelmy balance, captive bubble method, glass capillary viscometer and rotational viscometer, and emerging techniques (e.g. particle tracking microrheometer and axisymmetric drop shape analysis) were reviewed, and their advantages and drawbacks were also compared, in order to provide an important reference for the assisted diagnosis and treatment of lung diseases in clinical practice.

10.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-734851

ABSTRACT

A "general-special integrated" prevention and treatment model for chronic obstructive pulmonary disease (COPD) patients in the community was preliminarily established with the joint effets of specialists from the terital hospital and general practitioners in the community health service center.During the implementation of the model the general practitioners recieved research training and participanted in the research project of COPD management;and the "general-special integrated" outpatient clinic greatly improved the management for COPD patients.Since the establishment of the model,the number of acute attacks of COPD patients was decreased,and the proportion of standardized medication was increased.The model also improved the research ability and clinical competency of general practitioners.The established model provides experiences for the tiered-management for COPD patients in the community.

11.
Chinese Critical Care Medicine ; (12): 665-668, 2019.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-754032

ABSTRACT

Severe community acquired pneumonia (SCAP) has raised substantial concern due to high morbidity and mortality. SCAP is usually associated with multiple organ dysfunction syndrome (MODS) and sepsis. It is suggested that organ function and coagulation/fibrinolysis improvement, organ injury reduction and organ repair facilitation are highly required besides microbiology detection and optimization of antibiotics strategy on treatment of SCAP. Neutralization antibody, steroid, immunmodulatory therapy, and Chinese medicine etc. contribute to organ function improvement from different perspective. The unique profile of multiple target and personalized therapy of Chinese medicine may become a promising new option for SCAP and MODS. The combination of Western and Chinese Medicine shed new light on SCAP treatment.

12.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-618444

ABSTRACT

Objective To evaluate the efficacy of Lianhua Dingchuan Tablets in bronchial asthma.Methods Fifty BALB/C mice were randomly and equally divided into control (Con) group,ovalbumin (OVA) group,dexamethasone (DEX) group,high-dose Lianhua group,low-dose Lianhua group.The mice were sensitized and challenged with OVA plus aluminium hydroxide to establish asthmatic model and were pre-treated 30 minutes before challenge.Specific airway resistance (sRaw) was used to evaluate airway hyperresponsiveness,and airway inflammatory changes were measured.ELISA and Magnetic Luminex(R) were used to quantified the levels of IL-4,IL-13 and INF-γ.Results Airway resistance significantly decreased in DEX group and High-dose Lianhua group (P<0.05).Levels of inflammatory cells and IL-13 in BALF evidently reduced in DEX group,high-dose Lianhua group and low-dose Lianhua group (P < 0.05),while IL-13 level in serum only decreased in DEX group.There was no significant changes in the levels of IL 4 and INF γ among those groups.Conclusions Lianhua Dingchuan Tablets might relieve the symptoms of asthma by reducing IL-13 level and inhibiting the airway inflammation.

13.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-618443

ABSTRACT

Objective On the basis of internet of things technology,to initially establish a management model of chronic obstructive pulmonary disease (COPD) patients in Gumei community,so as to provide experience for the comprehensive management of community COPD patients.Methods According to the characteristics of the Internet of things technology,we formulated a scheme as a technical route to manage the COPD patients.A homogenous COPD management team of doctors was established under the training of experts from the Department of Respiration of Zhongshan Hospital,Fudan University.Results We drew a COPD patient management model chart,and initially formed a qualified and homogeneous COPD management team of general practitioner.Conclusions Through the Internet of things technology management,we initially formed a set of manual quality control model in the process of data automatic transmission,and initially formed a management model of community COPD patients,based on the internet of things.

14.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-432320

ABSTRACT

Objectives To investigate the prevalence of heterogeneous vancomycin intermediate Staphylococcus aureus(hVISA) and the sensitivity of hVISA to novel antibiotics,and to explore the risk factors and infection attributable mortality associated with hVISA infection.Methods A total of 456 methicillin resistant Staphylococcus aureus (MRSA) isolates were isolated in Zhongshan Hospital from January,2008 to November,2010.All MRSA isolates were investigated for hVISA by two agar screening methods BHIA5T (brain-heart infusion containing teicoplanin 5 mg/L)or BHIA6V (brain-heart infusion containing vancomycin 6 mg/L),as well as macroEtest method(MET).Possible hVISA isolates were tested by modified population analysis profile-area under the curve (PAP-AUC).The minimal inhibitory concentrations(MICs) of vancomycin,teicoplanin and linezolid were determined by microbroth dilution as recommended by Clinical Laboratory Standards Institute(CLSI).The contribution difference between hVISA and vancomycin susceptible Staphylococcus aureus (VSSA) in different MIC range was compared.A retrospective case-control study of the patients with hVISA infection or VSSA infection was carried out and statistical analysis was performed using t test,Mann-Whitney test,x2 test and Fisher exact test.Results A total of 105 isolates of hVISA were screened by BHIA5T and BHIA6V (23.0%) with other 23 isolates by MET(5.0%) and 21 by PAP-AUC(4.6%).All isolates were 100% sensitive to vancomycin,teicoplanin and linezolid.The vancomycin MIC [(1.76 ±-0.16) mg/L] in hVISA group was significantly higher than that in VSSA group[(1.09 ± 0.07)mg/L,P < 0.01],which was a potential risk factor for hVISA infection.The retrospective study showed chronic obstructive pulmonary disease (COPD) was also a risk factor for hVISA infection of the lower respiratory tract.No significant difference in infection attributable mortality was showed between the hVISA group and the VSSA group.Conclusions The overall prevalence of hVISA in Zhongshan Hospital is estimated as 4.6%,while the prevalence of hVISA isolated from blood is as high as 12.5%.All isolates are 100% sensitive to vancomycin and linezolid.COPD is a risk factor for hVISA infection of the lower respiratory tract.

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