Objective To investigate the related factors of early angina after acute myocardial infarction,and to provide basis for the disease prevention and control.Methods 1 32 cases with acute myocardial infarction were selected.The clinical data were collected.The occurrence rate of early angina pectoris after acute myocardial infarc-tion,and clinical characteristics were analyzed.The related factors of acute myocardial infarction angina were explored.Results The incidence rate of early angina pectoris after acute myocardial infarction was 29.55%.Within 7 days after acute myocardial infarction occurred angina,the highest rate for 64.1 0%,followed by 7 -1 4 days in the occurrence of angina pectoris,28.21 %.34 cases were the original location of myocardial infarction ischemia and 5 cases were the far part of ischemia,21 cases showed ST segment elevation,1 8 cases showed ST lack blood group downward.Anterior wall,inferior wall infarction composite,successful thrombolytic therapy recanalization,myocardial infarction before episodes of angina pectoris,history of hypertension,heart function classification more than or equal to grade III in patients with acute myocardial infarction occurred after the proportion of early angina pectoris were signifi-cantly higher (all P <0.05).Conclusion Anterior wall,inferior wall infarction composite,successful thrombolytic therapy recanalization,myocardial infarction before episodes of angina pectoris,history of hypertension and cardiac functional grading more than or equal to grade III are related to early angina pectoris after acute myocardial infarction. We should actively take measures aimed at early prevention and treatment of early angina pectoris after acute myocar-dial infarction to avoid illness aggravating,improve the patients'prognosis.

OBJECTIVE To investigate the bacterial distribution and antibiotic resistance situation with urinary tract infection(UTI) for the guidance of rational use of antibiotics.METHODS The antibiotic resistance of clinical isolates from urinary tract infection from Mar 2005 to Jul 2006 was analyzed. RESULTS The most common pathogens in urinary tract infection were Escherichia coli(50.2%),Enterococcus(14.4%),Staphyloccus aureus(8.7%),Klebsiella pneumoniae(7.3%),and Proteus mirabilis(3.9%).E.coli,K.pneumoniae,and P.mirabilis were found to be highly resistant to ampicillin,quinolones and SMZ(70.6-100.0%).Enterococcus were highly resistant to penicillin and quinolones(81.0-96.8%).41.4% of E.coli and 31.3% of K.pneumoniae isolates produced ESBLs.HLGR-Enterococcus were 79.4%.78.9% S.aureus isolates were resistant to oxacillin.CONCLUSIONS The high antibiotic resistance of commonly encountered pathogens is a serious problem and much attention should be paid to detect pathogens and their antibiotic resistance.

Objective:To observe the effect of tuina manipulations on blood pressure and its variability in hypertension patients. Methods:Forty hypertension patients were randomized into an observation group and a medication group, 20 cases in each group. The observation group was intervened by tuina manipulations of kidney-tonifying blood-circulating and collaterals- unblocking in addition to regular medication, while the medication group was by the same medication. The 24-hour blood pressure monitoring was performed before intervention and after 3-month intervention. The blood pressure and its variability were observed and compared. Results:There were no significant differences in comparing the blood pressure and blood pressure variability between the two groups before intervention (P>0.05); after 3-month intervention, the blood pressure and its variability were significantly improved in both groups (P<0.05); the improvements in the observation group were more significant than those in the control group (P<0.05). Conclusion:Tuina manipulations of kidney-tonifying blood-circulating and collaterals-unblocking plus medication can produce a better effect than regular medication in promoting blood pressure and its variability, and this method is worth applying in clinic as it’s easy-to-operate and has no adverse effect.

At present, the clinical judgment of cervical cancer prognosis is mainly based on common pathological factors, such as tumor size, lymph node metastasis, and the depth of interstitial invasion. In recent years, with the advancement of technology, many biomarkers have been proved to be closely related to the diagnosis and prognosis of cervical cancer. Hematological parameters and other medical diseases also affect the survival of cervical cancer patients to some extent.

Objective:To compare the toxicity and prognosis of patients with stage Ⅲ cervical cancer treated using different regimens.Methods:A retrospective analysis was carried out for 194 patients with stage Ⅲ cervical cancer determined according to the revised 2018 International Federation of Gynecology and Obstetrics staging system (16 cases of stage Ⅲ A, 23 cases of stage Ⅲ B, 136 cases of stage Ⅲ C1, and 19 cases of stage Ⅲ C2) admitted to the First Affiliated Hospital of Soochow University from January 2010 to December 2020. They were divided into a radical radiotherapy±chemotherapy group (81 cases) and a radical hysterectomy + radiotherapy±chemotherapy group (113 cases) according to different treatment method. The difference in toxicity between the two groups was determined using the χ2 test. The survival curves and progression-free survival curves were plotted using the Kaplan-Meier method, and the Log rank test was also performed. The differences in toxicity and prognosis were further analyzed in 136 patients with stage Ⅲ C1 cervical cancer result patients in the radical radiotherapy±chemotherapy group were more likely to have hemoglobin decline ( χ2=10.68, P=0.004), rectal mucositis ( χ2=14.41, P=0.001), and vaginal fistula ( χ2=7.16, P=0.012) of grades 3 and 4. Patients in the radical hysterectomy+ radiotherapy±chemotherapy group were more likely to have increased aspartate aminotransferase ( χ2=10.96, P=0.002) and alanine aminotransferase ( χ2=8.49, P=0.010). The differences were statistically significant. The 5-year progression-free survival rate of the radical radiotherapy±chemotherapy group was 58.3%, which was lower than that of the radical hysterectomy + radiotherapy±chemotherapy group (74.5%; χ2=5.33, P=0.021). Among the 136 patients with stage Ⅲ C1 cervical cancer, the ones in the radical radiotherapy±chemotherapy group (34 cases) were more likely to develop rectal mucositis ( χ2=13.25, P=0.003), while the ones in the radical hysterectomy + radiotherapy±chemotherapy group (102 cases) were more likely to have elevated aspartate aminotransferase ( χ2=6.18, P=0.046). The differences were statistically significant. The 5-year survival rates of the radical radiotherapy±chemotherapy group and the radical hysterectomy+ radiotherapy±chemotherapy group were 85.5% and 86.3%, respectively. The difference was not statistically significant ( P=0.893). The 5-year progression-free survival rates of the radical radiotherapy±chemotherapy group and the radical hysterectomy + radiotherapy±chemotherapy group were 65.6% and 77.1%, respectively. The difference was not statistically significant ( P=0.244). Conclusions:For patients with stage Ⅲ cervical cancer, the ones in the radical radiotherapy±chemotherapy group were more likely to progress and have a poorer prognosis compared with the ones in the radical hysterectomy+ radiotherapy±chemotherapy group. For patients with stage Ⅲ C1 cervical cancer, there was no significant difference in the prognosis of patients between the groups. The two treatment method lead to different toxicity, with no obvious advantages and disadvantages. Considering the risks and economic burdens caused by surgery, radical radiotherapy and chemotherapy is recommended for patients with stage Ⅲ C1 cervical cancer.

Objective:To compare the differences in distribution and prognosis of cervical cancer patients in the 2009 and 2018 editions of International Federation of Gynecology and Obstetrics (FIGO) staging, and to analyze the prognostic factors of cervical cancer patients.Methods:The clinical data of 524 cervical cancer patients admitted to the First Affiliated Hospital of Soochow University from January 2010 to December 2018 were retrospectively analyzed. The cases were staged according to the 2009 and 2018 FIGO staging, and the Kendall τb coefficient was calculated to compare the consistency of the distribution of the two stages. Kaplan-Meier was used for survival analysis, and log-rank test was used to test the difference of prognosis in each stage. Cox-regression was used to analyze the prognostic factors of cervical cancer patients.Results:In the 2009 FIGO edition of staging, 1 case of stage ⅠB1 was reduced to stage ⅠA1 due to the microscopic infiltration depth <5 mm, 51 cases of stage ⅠB1 were raised to stage ⅠB2 due to 2 cm4 cm. A total of 119 cases raised to stage ⅢC1 due to pelvic lymph node metastasis, and 11 cases raised to stage ⅢC2 due to para-aortic lymph node metastasis. The distribution of cases in the two stages was consistent (τb=0.61, P<0.001). There were statistically significant differences in overall survival (OS) ( χ2=107.13, P<0.001; χ2=93.02, P<0.001; χ2=92.74, P<0.001) and progression-free survival (PFS) ( χ2=91.95, P<0.001; χ2=77.69, P<0.001; χ2=73.27, P<0.001) among patients with different stages of FIGO in 2018 (ⅠA, ⅠB, Ⅱ, ⅢA, ⅢB, ⅢC1, ⅢC2, Ⅳ) and 2009 (ⅠA, ⅠB, Ⅱ, ⅢA, ⅢB, Ⅳ) and patients with different T stages (T 1, T 2, T 3, T 4). There were statistically significant differences in OS ( χ2=20.71, P<0.001) and PFS ( χ2=24.25, P<0.001) in 2018 FIGOⅠB and ⅢC stages, and there was a statistically significant difference in OS between stage ⅢC1 and stage ⅠB2 ( χ2=6.18, P=0.013). Multivariate analysis showed that age ( HR=1.88, 95% CI: 1.08-3.28, P=0.026), pathological type ( HR=2.11, 95% CI: 1.04-4.27, P=0.038), lymph node metastasis ( HR=2.18, 95% CI: 1.34-3.56, P=0.002), parametrial spread ( HR=2.56, 95% CI: 1.52-4.29, P<0.001), maximum tumor diameter ( HR=1.98, 95% CI: 1.18-3.30, P=0.009), squamous cell carcinoma antigen (SCCA) positive after treatment ( HR=4.49, 95% CI: 2.09-9.68, P<0.001) and Hemoglobin (HB) level before treatment ( HR=0.58, 95% CI: 0.35-0.96, P=0.035) were independent risk factors for OS in patients with cervical cancer. According to the 2018 FIGO stage, the 5-year OS rates of patients with stage ⅠB1, ⅠB2, ⅠB3 were 100%, 97.1% and 87.9% respectively, with a statistically significant difference ( χ2=7.79, P=0.020), and there was a statistically significant difference between stage ⅠB1 and ⅠB3 ( χ2=5.55, P=0.019). According to the 2009 FIGO stage, the 5-year OS rates of patients with stage ⅠB1 and ⅠB2 were 95.7% and 84.3% respectively, with a statistically significant difference ( χ2=9.08, P=0.003). For patients with 2018 FIGO stage ⅠB, SCCA positive after treatment ( HR=1 172.50, 95% CI: 10.37-132 554.51, P=0.003) was an independent risk factor for OS, and differentiation degree ( HR=0.09, 95% CI: 0.01-0.81, P=0.032), treatment method ( HR=0.17, 95% CI: 0.04-0.71, P=0.015) and SCCA positive after treatment ( HR=190.68, 95% CI: 14.27-2 547.67, P<0.001) were independent risk factors for PFS. For patients with 2018 FIGO stage ⅠB, stage ( HR=9.56, 95% CI: 2.38-38.32, P=0.001), SCCA positive after treatment ( HR=126.32, 95% CI: 12.36-1 290.60, P<0.001) and lymph node metastasis ( HR=20.07, 95% CI: 3.63-111.11, P=0.001) were independent risk factors for OS, and differentiation degree ( HR=0.11, 95% CI: 0.02-0.63, P=0.013), treatment method ( HR=0.22, 95% CI: 0.06-0.75, P=0.015) and SCCA positive after treatment ( HR=43.83, 95% CI: 7.94-241.84, P<0.001) were independent risk factors for PFS. According to the 2018 FIGO stage, the 5-year OS rates of patients with stage ⅡA and ⅡB were 95.7% and 75.6% respectively, with a statistically significant difference ( χ2=13.96, P<0.001). The 5-year PFS rates of patients with stage ⅡA and ⅡB were 83.1% and 67.1% respectively, with a statistically significant difference ( χ2=7.61, P=0.006). According to the 2009 FIGO stage, the 5-year OS rates of patients with stage ⅡA and ⅡB were 90.9% and 75.0% respectively, with a statistically significant difference ( χ2=8.85, P=0.003). The 5-year PFS rates of patients with stage ⅡA and ⅡB were 75.7% and 66.7% respectively, with a statistically significant difference ( χ2=4.07, P=0.044). For patients with 2018 FIGO stage Ⅱ, pathological type ( HR=20.28, 95% CI: 2.93-140.32, P=0.002) and stage ( HR=4.35, 95% CI: 1.02-18.55, P=0.047) were independent risks factors for OS. For patients with 2009 FIGO stage Ⅱ, pathological type ( HR=5.82, 95% CI: 1.62-20.94, P=0.007) was an independent risk factor for OS, and pathological type ( HR=3.09, 95% CI: 1.22-7.85, P=0.017) and lymph node metastasis ( HR=2.07, 95% CI: 1.22-3.51, P=0.007) were independent risk factors for PFS. For patients with 2018 FIGO stage Ⅲ, maximum tumor diameter ( HR=3.31, 95% CI: 1.45-7.56, P=0.005) and SCCA positive after treatment ( HR=4.67, 95% CI: 1.22-17.86, P=0.024) were independent risk factors for OS, and pathological type ( HR=4.15, 95% CI: 1.47-11.77, P=0.007) and SCCA positive after treatment ( HR=3.96, 95% CI: 1.45-10.86, P=0.007) were independent risk factors for PFS. Conclusion:The 2018 and 2009 FIGO staging have a good distribution consistency in the cervical cancer patients, and the 2018 FIGO stage ⅠB has more advantages in judging the prognosis, but stage ⅢC cannot accurately judge the prognosis. Lymph node metastasis and maximum tumor diameter are more important prognostic factors.