To better understand the drugs, frequency and other factors involved in the drug-induced renal failure, 227 cases of renal failure reported in the Chinese medical and pharmaceutical journals were statistically analyzed. Our results showed that the drugs that tend to cause renal failure are antibiotics, involving 80 cases, followed by antituberculosis agents(38 eases)and dehydration agents. Gentamycin (47 cases) and rifrimactane(36 cases) were among the drugs with highest incidence. There were 58 cases of death due to drug-related renal failure.

Objecfive To evaluate the effects of cilostazol on the prevention of microvascular complications in diabetic patients.Methods 60 diabetic patients with microvascular complications were orally given cilostazol for 1 month.Changes of Mean platelet volume (MPV),plateletcrit (PCT),platelet distribution width (PDW) and platelet count (PLT) were studied.Results With administration of cilostazol,MPV and PDW decreased significantly. Conclusion Cilostazol improves platelet parameters,suggesting that it could prevent the progression of microvascular diseases.

Objective:To explore the short-term outcomes of a 3D printed trabecular block cage to assist posterior internal fixation for the treatment of patients with basilar invagination and atlantoaxial dislocation.Methods:Between June 2017 and February 2019, 12 patients with basilar invagination and atlantoaxial dislocation underwent atlantoaxial distraction and posterior internal fixation at Department of Orthopedics, The First Affiliated Hospital to Zhengzhou University. They were 5 males and 7 females, aged from 34 to 62 years (average, 45.6 years). 3D printed cages were inserted intraoperatively between the joints of the atlantoaxial lateral mass. The atlanto-dental interval interval (ADI), cervico-medullary angle (CMA) and distance from tip of the odontoid process to Chamberlain's line (DOCL) and the Japanese Orthopedic Association (JOA) scale were compared between preoperation and 12 months postoperation to observe the fusion of the joints of the atlantoaxial lateral mass.Results:Operation went on uneventfully in all the 12 patients. Operation time averaged 116.5 min (from 85 to 190 min), fluoroscopy frequency 9.4 times (from 6 to 21 times), and intraoperative bleeding 82.3 mL (from 50 to 210 mL). No such postoperative complications occurred as cerebrospinal leak, cerebral infarction, or breakage, displacement or loosening of implants. All patients were followed up for 18 to 42 months (mean, 26.3 months). Their preoperative JOA, ADI, CMA and DOCL [8.33±0.98, (8.66±1.64) mm, 119.63°±4.15° and (9.66±2.15) mm] were significantly improved to 14.17±1.03, (2.63±0.59) mm, 153.76°±7.88° and (2.07±0.69) mm ( P<0.05) at 12 months postoperation. Bony fusion was achieved in all the operative segments. Conclusion:In the treatment of patients with basilar invagination and atlantoaxial dislocation, a 3D-printed trabecular block cage can be used to assist posterior internal fixation to achieve satisfactory reduction and maintain the height of joint space, leading to satisfactory short-term outcomes.

BACKGROUND:Fusion treatment for single segment cervical spondylosis can induce complications such as abnormal enlargement of range of motion in adjacent segments and degenerative manifestations. Recently, scholars began to explore and to use non-fusion technique to replace traditional fusion therapy. Cervical artificial disc replacement as a new anterior non-fusion program has been greatly used in the clinic, not only obtained good clinical therapeutic effects, but also made cervical vertebrae near physiological stability, delayed adjacent segment degeneration and reduced complications. ＜br> OBJECTIVE:To compare the clinical effects of the single level artificial disc replacement and the anterior cervical decompression and fusion for cervical spondylosis. ＜br> METHODS:A total of 59 patients with single segment cervical spondylosis, whose clinical signs and symptoms were accorded, were enrol ed from the First Affiliated Hospital of Zhengzhou University, China from May 2011 to May 2013. Imaging revealed that single segment of cervical disc degeneration compressed spinal cord or nerve root. Owing to different surgeries, these patients were divided into artificial disc replacement group (replacement group;n=32) and anterior cervical decompression and fusion group (fusion group;n=27). They were fol owed up at 5 days, 3, 6 and 12 months after treatment. Japanese Orthopaedic Association scores, neck pain, upper extremity pain visual analog scale scores were measured. The range of motion of the replacement segment and its effects on adjacent segments were observed. ＜br> RESULTS AND CONCLUSION:The postoperative Japanese Orthopaedic Association Scores were improved compared with preoperative scores (P＜0.05), while Japanese Orthopaedic Association Scores were decreased compared with preoperative scores (P＜0.05). There were no significant differences between two groups (P>0.05). Range of motion of the replacement segment after treatment was (11.6±3.0)° in the replacement group, showing no significant differences as compared with before surgery (8.8±2.7)° (P>0.05). No significant activity was found at 3 months after treatment in the fusion group. During fol ow-up, the range of motion in the adjacent segments was smal er in the replacement group than in the fusion group (P＜0.05). No significant difference in the range of motion in the adjacent segments was detected before and after treatment in the replacement group (P>0.05), but significant differences in the range of motion were detected before and after treatment in the fusion group (P＜0.05). The range of motion was apparently increased after treatment. These findings indicated that compared with the anterior cervical decompression and fusion, cervical artificial disc replacement can not only improve the clinical symptoms, restore nerve function, but also can keep the range of motion and stability of the cervical replacement segment. Moreover, it does not have impacts on the range of motion in the segments near to the surgical wound, and can effectively maintain cervical curvature.

Abstract In recent years, the overall incidence of scoliosis in children and adolescents in China is on the rise, and it has become the third largest "killer" affecting the health of children and adolescents in China after obesity and myopia. The dysfunction caused by spinal deformity has no obvious pathological manifestations or clinical symptoms in children and adolescents (except for severe scoliosis). It is easy to be ignored in the early stage, but if it is not intervened in time, this will cause serious damage to the long term prognosis and quality of life of the patients. Therefore, through early scoliosis screening, we can effectively monitor the spinal health status of children and adolescents in China, ensure timely diagnosis of the disease, timely intervention (brace and other conservative treatment), and play the role of early prevention. Avoid further deterioration of scoliosis and surgical intervention. This article will focus on the research progress of screening and conservative treatment of scoliosis.

Objective To explore the correlation between psychological health service demand and loneliness and anxiety depression in rural left-behind women.Methods 260 left-behind wo nen in Hebei province were surveyed by psychological health service demand scale,UCLA loneliness scale,trait anxiety scale and the center for epidemiologic studies depression scale (CES-D).Results There were statistically significant differences between the only child and non-only child left-behind women in mental health service demand ((131.72±13.91) vs (122.94±14.76)),loneliness ((52.94±5.65) vs (49.864±5.90)) and anxiety ((50.97±6.38) vs (47.16±4.80)) (t=3.313,2.899,4.151,P＜0.01).The mental health service demand,loneliness,anxiety and depression of left-behind women were different in the age of marriage (F=6.196,9.441,5.257,4.221,all P＜0.01),husband go out time (F=2.761,27.020,4.550,2.830,all P＜0.05) and degree of farm work (F=12.142,6.403,4.115,5.366,all P＜0.001).The anxiety of left-behind women was positively correlated with service content,service demand and depression (r=0.138-0.221,P＜0.01).Depression was negatively correlated with mental health service demand and service teams (r=-0.352--0.223,P＜ 0.01).Loneliness was positively correlated with service content,anxiety and depression (r=0.177-0.262,P＜ 0.01).Multiple linear regression showed that husbands go out time (β=0.326),farm work in very heavy degree (β=-0.376) and relatively heavy degree (β=-0.281),depression (β=-0.194) had a predictive effect on mental health services.Conclusion The mental health service demand of left-behind women are affected by their age,whether the only child,the age of marriage,their husbands' go out time and the degree of heavy farm work.

Objective:To study the association between histopathological features and HER2 overexpression/amplification in breast cancers using deep learning algorithms.Methods:A total of 345 HE-stained slides of breast cancer from 2012 to 2018 were collected at the China-Japan Friendship Hospital, Beijing, China. All samples had accurate diagnosis results of HER2 which were classified into one of the 4 HER2 expression levels (0, 1+, 2+, 3+). After digitalization, 204 slides were used for weakly supervised model training, and 141 used for model testing. In the training process, the regions of interest were extracted through cancer detected model and then input to the weakly supervised classification model to tune the model parameters. In the testing phase, we compared performance of the single- and double-threshold strategies to assess the role of the double-threshold strategy in clinical practice.Results:Under the single-threshold strategy, the deep learning model had a sensitivity of 81.6% and a specificity of 42.1%, with the AUC of 0.67 [95% confidence intervals (0.560,0.778)]. Using the double-threshold strategy, the model achieved a sensitivity of 96.3% and a specificity of 89.5%.Conclusions:Using HE-stained histopathological slides alone, the deep learning technology could predict the HER2 status using breast cancer slides, with a satisfactory accuracy. Based on the double-threshold strategy, a large number of samples could be screened with high sensitivity and specificity.

At present, China has entered a deeply aging society, and preparing for elderly care actively can respond to the aging population. This article reviews the theoretical basis, research status, evaluation tools, and influencing factors of elderly care preparation, aiming to provide reference for deepening the elderly care preparation work and achieving healthy aging.

Objective:Peripheral nerve invasion (PNI) is associated with local recurrence and poor prognosis in patients with advanced gastric cancer. A risk-assessment model based on preoperative indicators for predicting PNI of gastric cancer may help to formulate a more reasonable and accurate individualized diagnosis and treatment plan.Methods:Inclusion criteria: (1) electronic gastroscopy and enhanced CT examination of the upper abdomen were performed before surgery; (2) radical gastric cancer surgery (D2 lymph node dissection, R0 resection) was performed; (3) no distant metastasis was confirmed before and during operation; (4) postoperative pathology showed an advanced gastric cancer (T2-4aN0-3M0), and the clinical data was complete. Those who had other malignant tumors at the same time or in the past, and received neoadjuvant radiochemotherapy or immunotherapy before surgery were excluded. In this retrospective case-control study, 550 patients with advanced gastric cancer who underwent curative gastrectomy between September 2017 and June 2019 were selected from the Affiliated Hospital of Qingdao University for modeling and internal verification, including 262 (47.6%) PNI positive and 288 (52.4%) PNI negative patients. According to the same standard, clinical data of 50 patients with advanced gastric cancer who underwent radical surgery from July to November 2019 in Qingdao Municipal Hospital were selected for external verification of the model. There were no statistically significant differences between the clinical data of internal verification and external verification (all P>0.05). Univariate analysis and multivariate logistic regression analysis were used to determine the independent risk factors for PNI in advanced gastric cancer, and the clinical indicators with statistically significant difference were used to establish a preoperative nomogram model through R software. The Bootstrap method was applied as internal verification to show the robustness of the model. The discrimination of the nomogram was determined by calculating the average consistency index (C-index). The calibration curve was used to evaluate the consistency of the predicted results with the actual results. The Hosmer-Lemeshow test was used to examine the goodness of fit of the discriminant model. During external verification, the corresponding C-index index was also calculated. The area under ROC curve (AUC) was used to evaluate the predictive ability of the nomogram in the internal verification and external verification groups. Results:A total of 550 patients were identified in this study, 262 (47.6%) of which had PNI. Multivariate logistic regression analysis revealed that carcinoembryonic antigen level ≥ 5 μg/L (OR=5.870, 95% CI: 3.281-10.502, P<0.001), tumor length ≥5 cm (OR=5.539,95% CI: 3.165-9.694, P<0.001), mixed Lauren classification (OR=2.611, 95%CI: 1.272-5.360, P=0.009), cT3 stage (OR=13.053, 95% CI: 5.612-30.361, P<0.001) and the presence of lymph node metastasis (OR=4.826, 95% CI: 2.729-8.533, P<0.001) were significant independent risk factors of PNI in advanced gastric cancer (all P<0.05). Based on these results, diffused Lauren classification and cT4 stage were included to establish a predictive nomogram model. CEA ≥ 5 μg/L was for 68 points, tumor length ≥ 5 cm was for 67 points, mixed Lauren classification was for 21 points, diffused Lauren classification was for 38 points, cT3 stage was for 75 points, cT4 stage was for 100 points, and lymph node metastasis was for 62 points. Adding the scores of all risk factors was total score, and the probability corresponding to the total score was the probability that the model predicted PNI in advanced gastric cancer before surgery. The internal verification result revealed that the AUC of nomogram was 0.935, which was superior than that of any single variable, such as CEA, Lauren classification, cT stage, tumor length and lymph node metastasis (AUC: 0.731, 0.595, 0.838, 0.757 and 0.802, respectively). The external verification result revealed the AUC of nomogram was 0.828. The C-ndex was 0.931 after internal verification. External verification showed a C-index of 0.828 from the model. The calibration curve showed that the predictive results were good in accordance with the actual results ( P=0.415). Conclusion:A nomogram model constructed by CEA, tumor length, Lauren classification (mixed, diffuse), cT stage, and lymph node metastasis can predict the PNI of advanced gastric cancer before surgery.

Objective:Peripheral nerve invasion (PNI) is associated with local recurrence and poor prognosis in patients with advanced gastric cancer. A risk-assessment model based on preoperative indicators for predicting PNI of gastric cancer may help to formulate a more reasonable and accurate individualized diagnosis and treatment plan.Methods:Inclusion criteria: (1) electronic gastroscopy and enhanced CT examination of the upper abdomen were performed before surgery; (2) radical gastric cancer surgery (D2 lymph node dissection, R0 resection) was performed; (3) no distant metastasis was confirmed before and during operation; (4) postoperative pathology showed an advanced gastric cancer (T2-4aN0-3M0), and the clinical data was complete. Those who had other malignant tumors at the same time or in the past, and received neoadjuvant radiochemotherapy or immunotherapy before surgery were excluded. In this retrospective case-control study, 550 patients with advanced gastric cancer who underwent curative gastrectomy between September 2017 and June 2019 were selected from the Affiliated Hospital of Qingdao University for modeling and internal verification, including 262 (47.6%) PNI positive and 288 (52.4%) PNI negative patients. According to the same standard, clinical data of 50 patients with advanced gastric cancer who underwent radical surgery from July to November 2019 in Qingdao Municipal Hospital were selected for external verification of the model. There were no statistically significant differences between the clinical data of internal verification and external verification (all P>0.05). Univariate analysis and multivariate logistic regression analysis were used to determine the independent risk factors for PNI in advanced gastric cancer, and the clinical indicators with statistically significant difference were used to establish a preoperative nomogram model through R software. The Bootstrap method was applied as internal verification to show the robustness of the model. The discrimination of the nomogram was determined by calculating the average consistency index (C-index). The calibration curve was used to evaluate the consistency of the predicted results with the actual results. The Hosmer-Lemeshow test was used to examine the goodness of fit of the discriminant model. During external verification, the corresponding C-index index was also calculated. The area under ROC curve (AUC) was used to evaluate the predictive ability of the nomogram in the internal verification and external verification groups. Results:A total of 550 patients were identified in this study, 262 (47.6%) of which had PNI. Multivariate logistic regression analysis revealed that carcinoembryonic antigen level ≥ 5 μg/L (OR=5.870, 95% CI: 3.281-10.502, P<0.001), tumor length ≥5 cm (OR=5.539,95% CI: 3.165-9.694, P<0.001), mixed Lauren classification (OR=2.611, 95%CI: 1.272-5.360, P=0.009), cT3 stage (OR=13.053, 95% CI: 5.612-30.361, P<0.001) and the presence of lymph node metastasis (OR=4.826, 95% CI: 2.729-8.533, P<0.001) were significant independent risk factors of PNI in advanced gastric cancer (all P<0.05). Based on these results, diffused Lauren classification and cT4 stage were included to establish a predictive nomogram model. CEA ≥ 5 μg/L was for 68 points, tumor length ≥ 5 cm was for 67 points, mixed Lauren classification was for 21 points, diffused Lauren classification was for 38 points, cT3 stage was for 75 points, cT4 stage was for 100 points, and lymph node metastasis was for 62 points. Adding the scores of all risk factors was total score, and the probability corresponding to the total score was the probability that the model predicted PNI in advanced gastric cancer before surgery. The internal verification result revealed that the AUC of nomogram was 0.935, which was superior than that of any single variable, such as CEA, Lauren classification, cT stage, tumor length and lymph node metastasis (AUC: 0.731, 0.595, 0.838, 0.757 and 0.802, respectively). The external verification result revealed the AUC of nomogram was 0.828. The C-ndex was 0.931 after internal verification. External verification showed a C-index of 0.828 from the model. The calibration curve showed that the predictive results were good in accordance with the actual results ( P=0.415). Conclusion:A nomogram model constructed by CEA, tumor length, Lauren classification (mixed, diffuse), cT stage, and lymph node metastasis can predict the PNI of advanced gastric cancer before surgery.