1.INVESTIGATION ON PRINCIPLE PARASITIC INFECTIONS IN THE SOUTHERN PART OF JIANGSU PROVINCE
Jinying CHEN ; Fenghua SUN ; Yixin QIAN ; Lanfeng ZHAO ; Hanjun CAO ; Zhengang XU
Chinese Journal of Schistosomiasis Control 1989;0(03):-
Objective To understand the present status of human parasitic infections and their characteristics in rural areas of the southern part of Jiangsu Province, to provide basis of making practical control measures.Methods Four thousand and eighty-two people were examined with stool tests and those people were distributed in 8 slected spots in the southern part of Jiangsu Province,according to the methods of national investigation scheme on human principal parasites. Results The avarage infection rate of parasites was 6.71%. The male and female infection rates of parasites were 4.77% and 8.42%,respectively. There were significant differences (P
2.Clinical effects and safety comparison of two kinds of sufentanil doses combined with ropivacaine for analgesia on painless childbirth
Hongfu CHEN ; Lanfeng CHEN ; Shaojun ZHU
Chinese Journal of Primary Medicine and Pharmacy 2017;24(24):3724-3727
Objective To investigate clinical effects and safety differences of conventional and low doses of sufentanil combined with ropivacaine for analgesia on painless childbirth.Methods 130 lying-in women with painless childbirth were chosen and randomly divided into two groups including control group (65 cases) with sufentanil for 7.5μg and observation group (65 cases) with sufentanil for 5.0p g combined with ropivacaine;the block onset time,the arrival time at the maximum block level,modified Brcmage score,the Apgar score in 5min after childbirth,the VAS score before and after analgesia and adverse reaction incidence of both groups were compared.Results The sense and motion block onset time and the arrival time at the maximum block level of control group were separately (4.33 ± 1.91) min,(7.50 ± 1.70) min,(14.26 ± 1.50) min.The sense and motion block onset time and the arrival time at the maximum block level of observation group were separately (3.68 ± 1.54) min,(5.73 ± 1.21) min,(9.71 ± 1.15)min.The block onset time and the arrival time at the maximum block level of observation group were significant shorter than control group (t =2.78,3.07,3.47,all P < 0.05).The modified Bromage score of observation group were significant lower than control group (t =2.92,P < 0.05).There was no significant difference in the Apgar score in 5min after childbirth between the two groups(t =1.29,P >0.05).There was no significant difference in VAS score before and after analgesia between the two groups (t =1.15,1.02,0.95,0.63,0.87,all P > 0.05).The adverse reaction incidence of observation group were significant lower than control group (x2 =9.24,8.66,12.07,10.45,all P < 0.05).Conclusion Compared with conventional doses of sufentanil,low doses of sufentanil combined with ropivacaine for analgesia on painless childbirth can efficiently accelerate the block onset process and reduce the risk of adverse reactions.
3.Construction of a prognostic prediction model and scoring tool for severe trauma patients in the emergency department
Linfang LI ; Huagang HU ; Feng XU ; Lanfeng QIU ; Du CHEN ; Xiaoqin LI
Chinese Journal of Emergency Medicine 2022;31(5):592-597
Objective:To construct the prognostic prediction model and scoring tool by using severe trauma patients’ physiological indicators on admission, and to verify the clinical application effect and provide a reference for the early evaluation of severe trauma patients.Methods:This study was a retrospective study which adopted cluster sampling. Patients who met the inclusion and exclusion criteria in the emergency department of the First Affiliated Hospital of Soochow University from September 2019 to November 2020 were included. Patients were randomly assigned into the modeling group and the validation group in a ratio of 7:3 based on their outcome in the emergency department. Logistic regression analysis was performed to construct a prediction model, which was simplified as a scoring tool. The model was verified by using validation group and two months’ prospective validation. The efficiency of the simplified scoring tool was compared with that of the revised trauma score (RTS) and the injury severity score (ISS).Results:Totally 863 patients were included in this study, including 604 patients in the modeling group and 259 patients in the validation group. The model included systolic blood, SpO 2 and AVPU score. The AUC for predicting the death of severe trauma patients was 0.938. The AUC of the prediction model was 0.933, the best cut-off point was 5, the sensitivity was 86.7%, the specificity was 94.2%; the AUC of the validation was 0.885, the sensitivity was 83.3%, the specificity was 93.7%; and the AUC of prospective validation was 0.919, the sensitivity was 100%, and the specificity was 76.7%. The AUC of the RTS and ISS were 0.800 and 0.833, respectively. The AUC of RTS was lower than that of the simplified scoring tool constructed in this research. Conclusions:The prediction model and simplified scoring tool are better than RTS in predicting the outcome of emergency severe trauma patients, which are convenient for emergency medical staff to evaluate the severity of trauma patients.
4.Application of network video in the continuing nursing care of discharged cervical cancer patients with postoperative catheter
Xiaomei JU ; Xixia ZHANG ; Lanfeng ZHANG ; Lei CHEN ; Meiqun JIA ; Yan XU
Chinese Journal of Modern Nursing 2017;23(28):3600-3602
Objective To evaluate the effects of network video in the continuing nursing care of discharged cervical cancer patients with postoperative catheter.Methods A number of 53 patients with cervical cancer underwent radical hysterectomy in Nantong Tumor Hospital from January to December 2016 were randomly recruited as the observation group. Another 53 patients with cervical cancer underwent radical hysterectomy from January 2012 to December 2015 were retrospectively studied as control group. Patients in the control group were discharged from the hospital with removal catheter after the professional nursing of 15 days. Patients in the observation group were discharged from the hospital with the indwelling catheter one week after the surgery, and the catheter was removed after one week of network video on continuation nursing care.Results After the removal catheter, there were two cases (4%) of increased residual urine, two cases (4%) of urinary retention, and eight cases (15%) of urinary tract infection in the observation group;one case (2%) of increased residual urine, two cases (4%) of urinary retention, and eight cases (15%) of urinary tract infection were found in the control group. No differences were observed between the two groups (P>0.05). The score of patients' satisfaction was (4.85±0.12) in the observation group and (4.82±0.10) in the control group, with no difference between the two groups (t=1.479,P>0.05).Conclusions The application of network video in continuing nursing care of patients with cervical cancer after radical hysterectomy is feasible, whereas the preparation before discharge is required.
5.Automatic epileptic seizure detection algorithm based on dual density dual tree complex wavelet transform.
Tongzhou KANG ; Rundong ZUO ; Lanfeng ZHONG ; Wenjing CHEN ; Heng ZHANG ; Hongxiu LIU ; Dakun LAI
Journal of Biomedical Engineering 2021;38(6):1035-1042
It is very important for epilepsy treatment to distinguish epileptic seizure and non-seizure. In this study, an automatic seizure detection algorithm based on dual density dual tree complex wavelet transform (DD-DT CWT) for intracranial electroencephalogram (iEEG) was proposed. The experimental data were collected from 15 719 competition data set up by the National Institutes of Health (NINDS) in Kaggle. The processed database consisted of 55 023 seizure epochs and 501 990 non-seizure epochs. Each epoch was 1 second long and contained 174 sampling points. Firstly, the signal was resampled. Then, DD-DT CWT was used for EEG signal processing. Four kinds of features include wavelet entropy, variance, energy and mean value were extracted from the signal. Finally, these features were sent to least squares-support vector machine (LS-SVM) for learning and classification. The appropriate decomposition level was selected by comparing the experimental results under different wavelet decomposition levels. The experimental results showed that the features selected in this paper were different between seizure and non-seizure. Among the eight patients, the average accuracy of three-level decomposition classification was 91.98%, the sensitivity was 90.15%, and the specificity was 93.81%. The work of this paper shows that our algorithm has excellent performance in the two classification of EEG signals of epileptic patients, and can detect the seizure period automatically and efficiently.
Algorithms
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Electroencephalography
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Epilepsy/diagnosis*
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Humans
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Seizures/diagnosis*
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Signal Processing, Computer-Assisted
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Support Vector Machine
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Wavelet Analysis
6. Effects of full-course epidural delivery on puerpera and neonatal
Yiyao HAN ; Lieping HUANG ; Yuxin TANG ; Lanfeng CHEN ; Min BAI
Chinese Journal of Primary Medicine and Pharmacy 2019;26(12):1454-1458
Objective:
To investigate the effects of epidural analgesia on puerpera and neonatal.
Methods:
A total of 150 puerpera were continuously enrolled from May 2017 to May 2018 in Zhoushan Maternal and Child Health Care Hospital, and were divided into analgesia group (102 cases) and non-analgesia group (48 cases) according to their prenatal wishes.The analgesia group was given epidural anesthesia for analgesic delivery, while the control group had no analgesia intervention.Differences in the expression of serum pain and stress hormones were compared between two groups at the time of prenatal, postpartum 1h and 24h.At the same time, differences in neonatal NACS scores were compared between two groups at the time of postpartum 1h, 8h and 24h.
Results:
No statistically significant differences were found between the two groups in prenatal serum pain and stress hormones, but at the time of postpartum 1h and 24h, serum pain media neuropeptide Y (NPY) (