1.Discussion of stroke unit management in nursing based upon international standards in neurology department
Qunli XU ; Lijun FENG ; Xiuhua RAO
Chinese Journal of Practical Nursing 2013;29(30):73-75
Objective To discuss the practice of nursing management model of stroke unit based upon the international standards implemented in the neurological unit.Methods The experiences of the stroke unit management were summarized and applied to instruct the clinical practice.Results After the implementation,the average hospitalization days,the proportion of drugs,medical cost,and mortality rate decreased.The satisfactory degree of patients with the stroke unit increased.Conclusions The nursing management model of stroke unit not only improved the quality of nursing service to stroke patients,but also decreases the mortality and disability rate,shortened the length of hospital stay,and enhanced the satisfaction degree of patients and their family members.
2.The risk factors and the etiology analysis of early infection in recipients following liver transplantation
Xiuhua XIE ; Yingjun JIANG ; Man XIE ; Xinjuan KONG ; Wei RAO ; Yunjin ZANG ; Tingting WANG
Chinese Journal of Organ Transplantation 2017;38(4):200-205
Objective To explore the risk factors,the distribution of etiology and drug resistance status of patients with early infection (3 months) after liver transplantation,and to provide reference for clinical diagnosis and treatment.Methods The clinical data of 112 recipients from February 2014 to December 2015 were collected,and logistic regression analysis was performed on the risk factors of early postoperative infection in liver transplant patients.The independent risk factors of infection after liver transplantation were screened out.At the same time,the results of pathogen culture and drug sensitivity test were statistically described.Results The independent risk factors for infection at 3th month after liver transplantation included the operative time ≥600 min [P =0.003,odds ratio (OR) =9.996,95 % confidence interval (95 % CI),2.221-44.981],intensive care unit (ICU) ≥6 days (P =0.010,OR =6.306,95% CI =1.563-25.437),Child-Pugh grade of C (P =0.023,OR =6.298,95% CI =1.294-30.659).Of the 112 liver transplant recipients,59 had an infection (52.68%),and 168 stains of pathogens were isolated.The positive rate of the specimens was highest in sputum,followed by bile,ascites,drainage and catheter end,blood,deep vein catheter,middle urinary,pleural effusion and peripherally inserted central catheter (PICC).The detectable rate of gram-negative bacteria,gram-positive bacteria,fungi and viruses was 46.43% (78 strains),29.76% (50 strains),18.45% (31 strains),and 5.36% (9 strains) respectively.Infection occurred mainly within 1 month after surgery,accounting for about 80.36% (135 strains),especially at 1st week after surgery,accounting for about 34.52% (58 strains).Gram-positive bacteria had a higher drug resistance rate,including penicillins,macrolides,aminoglycosides,quinolones,linamides,etc.especially in the highest rate of Enterococcus faeciurr.Gram-negative bacteria were individualized based on the different strains of the bacteria,and they were relatively low in the resistance of the carbapene.Conclusion Infection is one of the most common complications after liver transplantation.To reduce the incidence of infection after liver transplantation,efforts should be made to shorten the duration of operation and ICU stay time,improve the basic nutritional status of recipients,and enhance monitoring of the recipient's infection after liver transplantation,to further increase the survival rate of postoperative liver transplantation recipients and improve the quality of life.
3.Construction and preliminary validation of a risk prediction model for the recurrence of diabetic foot ulcer in diabetic patients
Qingjiao GUO ; Jing OUYANG ; Jiaqin RAO ; Yizhi ZHANG ; Lihong YU ; Wanying XU ; Jinhua LONG ; Xiuhua GAO ; Xiaoyan WU ; Ying GU
Chinese Journal of Burns 2023;39(12):1149-1157
Objective:To develop a risk prediction model for the recurrence of diabetic foot ulcer (DFU) in diabetic patients and primarily validate its predictive value.Methods:Meta-analysis combined with retrospective cohort study was conducted. The Chinese and English papers on risk factors related to DFU recurrence publicly published in China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang Database, VIP Database, and PubMed, Embase, Cochrane Library, and Web of Science, and the search time was from the establishment date of each database until March 31 st, 2022. The papers were screened and evaluated, the data were extracted, a meta-analysis was performed using RevMan 5.4.1 statistical software to screen risk factors for DFU recurrence, and Egger's linear regression was used to assess the publication bias of the study results. Risk factors for DFU recurrence mentioned in ≥3 studies and with statistically significant differences in the meta-analysis were selected as the independent variables to develop a logistic regression model for risk prediction of DFU recurrence. The medical records of 101 patients with DFU who met the inclusion criteria and were admitted to Affiliated Hospital of Guizhou Medical University from January 2019 to June 2022 were collected. There were 69 males and 32 females, aged (63±14) years. The receiver operating characteristic (ROC) curve of the predictive performance of the above constructed predictive model for DFU recurrence was drawn, and the area under the ROC curve, maximum Youden index, and sensitivity and specificity at the point were calculated. Dataset including data of 8 risk factors for DFU recurrence and the DFU recurrence rates of 10 000 cases was simulated using RStudio software and a scatter plot was drawn to determine two probabilities for risk division of DFU recurrence. Using the β coefficients corresponding to 8 DFU recurrence risk factors ×10 and taking the integer as the score of coefficient weight of each risk factor, the total score was obtained by summing up, and the cutoff scores for risk level division were calculated based on the total score × two probabilities for risk division of DFU recurrence. Results:Finally, 20 papers were included, including 3 case-control studies and 17 cohort studies, with a total of 4 238 cases and DFU recurrence rate of 22.7% to 71.2%. Meta-analysis showed that glycosylated hemoglobin >7.5% and with plantar ulcer, diabetic peripheral neuropathy, diabetic peripheral vascular disease, smoking, osteomyelitis, history of amputation/toe amputation, and multidrug-resistant bacterial infection were risk factors for the recurrence of DFU (with odds ratios of 3.27, 3.66, 4.05, 3.94, 1.98, 7.17, 11.96, 3.61, 95% confidence intervals of 2.79-3.84, 2.06-6.50, 2.50-6.58, 2.65-5.84, 1.65-2.38, 2.29-22.47, 4.60-31.14, 3.13-4.17, respectively, P<0.05). There were no statistically significant differences in publication biases of diabetic peripheral neuropathy, diabetic peripheral vascular disease, glycosylated hemoglobin >7.5%, plantar ulcer, smoking, multidrug-resistant bacterial infection, or osteomyelitis ( P>0.05), but there was a statistically significant difference in the publication bias of amputation/toe amputation ( t=-30.39, P<0.05). The area under the ROC curve of the predictive model was 0.81 (with 95% confidence interval of 0.71-0.91) and the maximum Youden index was 0.59, at which the sensitivity was 72% and the specificity was 86%. Ultimately, 29.0% and 44.8% were identified respectively as the cutoff for dividing the probability of low risk and medium risk, and medium risk and high risk for DFU recurrence, while the corresponding total scores of low, medium, and high risks of DFU recurrence were <37, 37-57, and 58-118, respectively. Conclusions:Eight risk factors for DFU recurrence are screened through meta-analysis and the risk prediction model for DFU recurrence is developed, which has moderate predictive accuracy and can provide guidance for healthcare workers to take interventions for patient with DFU recurrence risk.
4.Management of a colon cancer patient complicated with COVID-19.
Ziqi YE ; Yun HONG ; Xiuhua WU ; Dongsheng HONG ; Yanfang ZHANG ; Xihao DONG ; Yuefeng RAO ; Xiaoyang LU
Journal of Zhejiang University. Medical sciences 2020;49(2):245-248
OBJECTIVE:
To explore the feasibility of radical resection for cancer patients complicated with coronavirus disease 2019 (COVID-19).
METHODS:
The management and clinical outcome of a sigmoid cancer patient with COVID-19 were analyzed.
RESULTS:
The inflammation indicators and fever of this patient were effectively controlled and the lung lesions remained stable after active anti-viral treatment, then the radical colorectomy was performed after the viral negative conversion for twice.
CONCLUSIONS
The case indicates that radical resection can be performed in SARS-CoV-2 patients with twice-negative SARS-CoV-2 nucleic acid testing results.
Betacoronavirus
;
isolation & purification
;
Colonic Neoplasms
;
complications
;
surgery
;
Coronavirus Infections
;
complications
;
therapy
;
Disease Management
;
Humans
;
Pandemics
;
Pneumonia, Viral
;
complications
;
therapy
;
Treatment Outcome
5.Management of a colon cancer patient infected with corona virus disease 2019.
Ziqi YE ; Yun HONG ; Xiuhua WU ; Dongsheng HONG ; Yanfang ZHANG ; Xihao DONG ; Yuefeng RAO ; Xiaoyang LU
Journal of Zhejiang University. Medical sciences 2020;49(1):245-248
OBJECTIVE:
To explore the feasibility of surgical treatment for cancer patients complicated with corona virus disease 2019 (COVID-19).
METHODS:
The management and clinical outcome of a sigmoid cancer patient with COVID-19 were analyzed.
RESULTS:
The inflammation indicators and fever of this patient were effectively controlled and the lung lesions remained stable after active anti-viral treatment, then the radical colorectomy was performed after the viral negative conversion for twice.
CONCLUSIONS
The case indicates that it may feasible to undergo radical tumor surgery for cancer patients with COVID-19 after the virus nucleic acid testing turns negative and more studies are needed to confirm this conclusion.
Antiviral Agents
;
therapeutic use
;
Betacoronavirus
;
Clinical Laboratory Techniques
;
Colonic Neoplasms
;
complications
;
surgery
;
virology
;
Coronavirus Infections
;
complications
;
diagnosis
;
drug therapy
;
Fever
;
Humans
;
Nucleic Acid Amplification Techniques
;
Pandemics
;
Pneumonia, Viral
;
complications
;
diagnosis
;
drug therapy