Objective To investigate the clinical efficacy of neoadjuvant chemotherapy regimens of TA or AC in the treatment of locally advanced triple negative breast cancer. Methods Data of 99 women with stageⅡ/ Ⅲ locally advanced triple negative breast cancer treated in the Centre Hospital of Cangzhou from Jan. 2006 to Dec. 2011 were retrospectively analyzed. These patients were divided into two groups based on the regimen of the neoadjuvant chemotherapy. Fifty-two cases were received TA regimen(Docetaxel 75 mg/ m2 and pirarubicin 50 mg/ m2 )and 47 cases were received AC( pirarubicin 50 mg/ m2 ,cyclophosphamide 600 mg/ m2 ). IV drip infusion was administered in both groups for 4 cycles before surgery,with 3 weeks for each cycle. The efficacy after treatment,the 2 year recurrence rate and overall survival rate after operation were compared between the two groups. Results The response rates in TA group were 88. 46% ,higher than that of AC group(57. 45% ),and the difference was statistically significant(χ2 = 12. 260,P < 0. 001). Furthermore,the rate of pathological grade 4 and 5 in TA group were 42. 3%(22 / 52)was superior to AC group(23. 4%(11 / 47);P = 0. 046). The 2-year recurrence rate and survival rate in TA group were 23. 08%(12 / 52)and 84. 62% ,as same as that in AC group ((27. 66%(13 / 47)and 80. 85% ;χ2 = 0. 400;P = 0. 53). Conclusion TA and AC are both effective in terms of females with stage Ⅱ/ Ⅲ locally advanced triple negative breast cancer treat with neoadjuvant chemotherapy. Moreover,TA is superior to AC. However,there is no statistical difference of 2-years recurrence rate and survival rate between two groups.

Objective To investigate the effect of gastrointestinal Roux-en-Y gastric bypass surgery on blood sugar and insulin function of patients with type-2 diabetes mellitus.Methods Twenty-seven cases of gastric cancer patients with type-2 diabetes and undergone Roux-en-Y bypass the gastrointestinal treatment in the centre hospital of Cangzhou were selected as our subject.Body mass index (BMI),Glycosylated hemoglobin (HBA1c),Fasting and glucose (FPG),fasting insulin (FINS),Fasting C-peptide (FCP) levels were measured.Glucose (2 hPG),insulin (2 hINS) and C-peptide (2 hCP) levels were detected after 2 h for oral use 75 g glucose.Homeostasis model was applied to assess insulin resistance index (HOMA-IR).Results No significant change was seen in terms of BMI between before and after surgery.Compared to before surgery,the levels of FPG((7.58 ±0.84) mmol/L),2 hPG((10.43 ± 1.88) mmol/L),HbA1c((7.56 ± 1.15)％) and HOMA-IR(4.55 ±0.76) were lower in patients at 3 months after surgery ((9.93 ± 1.57) mtmol/L,(13.89± 2.13) mtmol/L,(9.88 ± 1.66) ％,(4.55 ± 0.76),respectively,P ＜ 0.05 or P ＜ 0.01).FPG ((6.56± 0.80) mmol/L),2 hPG ((8.57 ± 1.32) mmol/L),HbA1 c ((6.37 ± 1.24) ％),HOMA-IR (4.03 ± 0.45)of patients after 6 months were lower than that of before surgery and 3 months after surgery (P ＜ 0.05 or P＜0.01).However,the levels of FINS ((13.67 ± 1.96) mU/L),FCP((2.62 ±0.87) μg/L),2 hINS((49.91± 5.14) mU/L) and 2 hCP ((6.28 ± 1.65) μg/L) were higher in patients with 3 months after surgery compared to that of before surgery ((11.08 ± 1.69) mU/L,(1.78 ± 0.61) μg/L,(36.05 ± 4.03) mU/L,(4.28 ± 1.48) μg/L,P ＜ 0.01).Meanwhile those indices after 6 months (FINS:(15.88 ± 2.05) mU/L,FCP:(3.30 ±0.68) μg/L,2 hINS:(67.40 ±5.68) mU/L,2 hCP:(9.39 ± 1.52) μg/L) were higher than that of before surgery and 3 months after surgery(P ＜ 0.01).Conclusion Roux-en-Y gastrointestinal bypass can effectively reduce blood sugar level and improve the situation of Pancreatic Beta-cell function of gastric cancer patients with type-2 diabetes.

Three hundred cerebrovascular disease (CVD) patients (disease onset <3 days) were evaluated for serum C-reactive protein (CRP) level at admission, and Scandinavian Stroke Scale (SSS) or Oxford Handicap Scale (OHS) at baseline and 3 months. Based on serum CRP levels, the participants were divided into group A [CRP(1.20 ±0.35)mg/L], group B[CRP(4.98 ± 1.08) mg/L] or group C[CRP (19.34±12.27)mg/L]. Our results showed that serum CRP level was positively correlated with SSS (r = 0.39 or0.43, both P<0.01) and OHS (r=0.40 or0.42, both P<0.01) at3 months. Thus, evaluating serum CRP level within 3 clays of disease onset might be helpful in predicting clinical outcomes of CVD patients.

Objective:To explore the safety and efficacy of renal arterial hypothermia perfusion in robot-assisted laparoscopic partial nephrectomy.Methods:The data of 11 patients with complex renal tumors admitted to our hospital from March 2020 to December 2021 were retrospectively analyzed. There were 7 males and 4 females. The patients’age was (64.64±13.56) years old.The median R. E.N.A.L. score was 8 (7, 9) points. Preoperative glomerular filtration rate (GFR) was (64.40±25.52) ml/min. All patients had a renal artery cold solution perfusion robot-assisted laparoscopic partial nephrectomy. 4℃ sodium lactate Ringer's solution was injected into the affected kidney by the catheter, which could provide the kidney a hypothermic state during the operation and protected the renal function during the long period of warm ischemia. The intraoperative data and postoperative complications were recorded. The data of postoperative renal function, routine urine test, urinary CT, preoperative and postoperative glomerular filtration rate (GFR) were analyzed.Results:The renal artery blocking time was (34.09±2.84) min during the surgery. The patients’ body temperature was (36.10±0.44) ℃. The surgical duration was (126.73±47.08) min. The intraoperative bleeding was (81.82±53.07) ml. There were no complications, such as urinary leakage, low body temperature, fever, etc. There was no significant difference between the 3-months postoperative GFR (59.06±25.67) ml/min and preoperative GFR ( P=0.636). Conclusions:For patients with complex renal tumors, renal arterial cold solution perfusion in robot-assisted laparoscopic partial nephrectomy can help obtain longer operative duration during hot ischemia, preserve renal function, and it provide a safe and feasible surgical method for patients.

Objectives: This study examined the potential of a new analytical framework for the Korea Community Health Survey (KCHS) with classification criteria for the sub-national governmental level, the degree of urbanization including an urban-rural multimodal category, and population size as a more effective tool to address local health problems and deduce practical implications. Methods: Retrospective survey data from 2023 KCHS were obtained. Frequency analyses were performed for self-rated good health status, current smoking status, and unmet medical needs as proxies for health status, as well as health behavior and healthcare utilization, utilizing individual weights to represent national community residents. Results: We established a new classification of local governments into 7 types to facilitate regional comparisons. These local government types are presumably composed of populations showing statistically significant differences in demographic characteristics. There were evident differences in health status, health behavior, and healthcare utilization in comparisons of groups categorized by local government types. Conclusions This study suggests that regional disparities can be analyzed using a new typology of local governments. This practically effective approach could be used in decision-making for community-centered health projects in terms of community health planning. Future research should conduct analyses of KCHS data that use these 7 local government types to comprehensively reflect regional characteristics.

Objectives: This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on admission rates and in-hospital mortality among patients with ischemic and hemorrhagic stroke. Methods: We constructed a dataset detailing the monthly hospitalizations and mortality rates of inpatients with stroke from January 2017 to December 2021. Employing an interrupted time series analysis, we explored the impact of COVID-19 on hospitalizations and 30-day in-hospital mortality among stroke patients. Results: The number of ischemic stroke admissions decreased by 18.5%, from 5335 to 4348, immediately following the COVID-19 outbreak (p<0.001). The in-hospital mortality rate for ischemic stroke increased slightly from 3.3% to 3.4% immediately after the outbreak, although it showed a decreasing trend over time. The number of hemorrhagic stroke admissions fell by 7.5%, from 2014 to 1864, immediately following the COVID-19 outbreak. The 30-day in-hospital mortality rate for hemorrhagic stroke initially decreased from 12.9% to 12.7%, but subsequently showed an increasing trend. Conclusions We confirmed that COVID-19 impacted both the admission and death rates of stroke patients. The admission rate for both ischemic and hemorrhagic strokes decreased, while in-hospital mortality increased. Specifically, in-hospital mortality from ischemic stroke rose initially after the outbreak before stabilizing. Additionally, our findings indicate variable effects based on sex, age, and socioeconomic status, suggesting that certain groups may be more susceptible. This underscores the need to identify and support vulnerable populations to mitigate adverse health outcomes.

Objectives: This study examined the potential of a new analytical framework for the Korea Community Health Survey (KCHS) with classification criteria for the sub-national governmental level, the degree of urbanization including an urban-rural multimodal category, and population size as a more effective tool to address local health problems and deduce practical implications. Methods: Retrospective survey data from 2023 KCHS were obtained. Frequency analyses were performed for self-rated good health status, current smoking status, and unmet medical needs as proxies for health status, as well as health behavior and healthcare utilization, utilizing individual weights to represent national community residents. Results: We established a new classification of local governments into 7 types to facilitate regional comparisons. These local government types are presumably composed of populations showing statistically significant differences in demographic characteristics. There were evident differences in health status, health behavior, and healthcare utilization in comparisons of groups categorized by local government types. Conclusions This study suggests that regional disparities can be analyzed using a new typology of local governments. This practically effective approach could be used in decision-making for community-centered health projects in terms of community health planning. Future research should conduct analyses of KCHS data that use these 7 local government types to comprehensively reflect regional characteristics.

Objectives: This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on admission rates and in-hospital mortality among patients with ischemic and hemorrhagic stroke. Methods: We constructed a dataset detailing the monthly hospitalizations and mortality rates of inpatients with stroke from January 2017 to December 2021. Employing an interrupted time series analysis, we explored the impact of COVID-19 on hospitalizations and 30-day in-hospital mortality among stroke patients. Results: The number of ischemic stroke admissions decreased by 18.5%, from 5335 to 4348, immediately following the COVID-19 outbreak (p<0.001). The in-hospital mortality rate for ischemic stroke increased slightly from 3.3% to 3.4% immediately after the outbreak, although it showed a decreasing trend over time. The number of hemorrhagic stroke admissions fell by 7.5%, from 2014 to 1864, immediately following the COVID-19 outbreak. The 30-day in-hospital mortality rate for hemorrhagic stroke initially decreased from 12.9% to 12.7%, but subsequently showed an increasing trend. Conclusions We confirmed that COVID-19 impacted both the admission and death rates of stroke patients. The admission rate for both ischemic and hemorrhagic strokes decreased, while in-hospital mortality increased. Specifically, in-hospital mortality from ischemic stroke rose initially after the outbreak before stabilizing. Additionally, our findings indicate variable effects based on sex, age, and socioeconomic status, suggesting that certain groups may be more susceptible. This underscores the need to identify and support vulnerable populations to mitigate adverse health outcomes.

Objectives: This study examined the potential of a new analytical framework for the Korea Community Health Survey (KCHS) with classification criteria for the sub-national governmental level, the degree of urbanization including an urban-rural multimodal category, and population size as a more effective tool to address local health problems and deduce practical implications. Methods: Retrospective survey data from 2023 KCHS were obtained. Frequency analyses were performed for self-rated good health status, current smoking status, and unmet medical needs as proxies for health status, as well as health behavior and healthcare utilization, utilizing individual weights to represent national community residents. Results: We established a new classification of local governments into 7 types to facilitate regional comparisons. These local government types are presumably composed of populations showing statistically significant differences in demographic characteristics. There were evident differences in health status, health behavior, and healthcare utilization in comparisons of groups categorized by local government types. Conclusions This study suggests that regional disparities can be analyzed using a new typology of local governments. This practically effective approach could be used in decision-making for community-centered health projects in terms of community health planning. Future research should conduct analyses of KCHS data that use these 7 local government types to comprehensively reflect regional characteristics.

Objectives: This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on admission rates and in-hospital mortality among patients with ischemic and hemorrhagic stroke. Methods: We constructed a dataset detailing the monthly hospitalizations and mortality rates of inpatients with stroke from January 2017 to December 2021. Employing an interrupted time series analysis, we explored the impact of COVID-19 on hospitalizations and 30-day in-hospital mortality among stroke patients. Results: The number of ischemic stroke admissions decreased by 18.5%, from 5335 to 4348, immediately following the COVID-19 outbreak (p<0.001). The in-hospital mortality rate for ischemic stroke increased slightly from 3.3% to 3.4% immediately after the outbreak, although it showed a decreasing trend over time. The number of hemorrhagic stroke admissions fell by 7.5%, from 2014 to 1864, immediately following the COVID-19 outbreak. The 30-day in-hospital mortality rate for hemorrhagic stroke initially decreased from 12.9% to 12.7%, but subsequently showed an increasing trend. Conclusions We confirmed that COVID-19 impacted both the admission and death rates of stroke patients. The admission rate for both ischemic and hemorrhagic strokes decreased, while in-hospital mortality increased. Specifically, in-hospital mortality from ischemic stroke rose initially after the outbreak before stabilizing. Additionally, our findings indicate variable effects based on sex, age, and socioeconomic status, suggesting that certain groups may be more susceptible. This underscores the need to identify and support vulnerable populations to mitigate adverse health outcomes.