BACKGROUND Colorectal cancer significantly impacts global health,with unplanned reoperations post-surgery being key determinants of patient outcomes.Existing predictive models for these reoperations lack precision in ...BACKGROUND Colorectal cancer significantly impacts global health,with unplanned reoperations post-surgery being key determinants of patient outcomes.Existing predictive models for these reoperations lack precision in integrating complex clinical data.AIM To develop and validate a machine learning model for predicting unplanned reoperation risk in colorectal cancer patients.METHODS Data of patients treated for colorectal cancer(n=2044)at the First Affiliated Hospital of Wenzhou Medical University and Wenzhou Central Hospital from March 2020 to March 2022 were retrospectively collected.Patients were divided into an experimental group(n=60)and a control group(n=1984)according to unplanned reoperation occurrence.Patients were also divided into a training group and a validation group(7:3 ratio).We used three different machine learning methods to screen characteristic variables.A nomogram was created based on multifactor logistic regression,and the model performance was assessed using receiver operating characteristic curve,calibration curve,Hosmer-Lemeshow test,and decision curve analysis.The risk scores of the two groups were calculated and compared to validate the model.RESULTS More patients in the experimental group were≥60 years old,male,and had a history of hypertension,laparotomy,and hypoproteinemia,compared to the control group.Multiple logistic regression analysis confirmed the following as independent risk factors for unplanned reoperation(P<0.05):Prognostic Nutritional Index value,history of laparotomy,hypertension,or stroke,hypoproteinemia,age,tumor-node-metastasis staging,surgical time,gender,and American Society of Anesthesiologists classification.Receiver operating characteristic curve analysis showed that the model had good discrimination and clinical utility.CONCLUSION This study used a machine learning approach to build a model that accurately predicts the risk of postoperative unplanned reoperation in patients with colorectal cancer,which can improve treatment decisions and prognosis.展开更多
BACKGROUND Critical patients often had various types of tubes,unplanned extubation of any kind of tube may cause serious injury to the patient,but previous reports mainly focused on endotracheal intubation.The limitat...BACKGROUND Critical patients often had various types of tubes,unplanned extubation of any kind of tube may cause serious injury to the patient,but previous reports mainly focused on endotracheal intubation.The limitations or incorrect use of the unplanned extubation risk assessment tool may lead to improper identification of patients at a high risk of unplanned extubation and cause delay or nonimplementation of unplanned extubation prevention interventions.To effectively identify and manage the risk of unplanned extubation,a comprehensive and universal unplanned extubation risk assessment tool is needed.AIM To assess the predictive value of the Huaxi Unplanned Extubation Risk Assessment Scale in inpatients.METHODS This was a retrospective validation study.In this study,medical records were extracted between October 2020 and September 2021 from a tertiary comprehensive hospital in southwest China.For patients with tubes during hospitalization,the following information was extracted from the hospital information system:age,sex,admission mode,education,marital status,number of tubes,discharge mode,unplanned extubation occurrence,and the Huaxi Unplanned Extubation Risk Assessment Scale(HUERAS)score.Only inpatients were included,and those with indwelling needles were excluded.The best cut-off value and the area under the curve(AUC)of the Huaxi Unplanned Extubation Risk Assessment Scale were been identified.RESULTS A total of 76033 inpatients with indwelling tubes were included in this study,and 26 unplanned extubations occurred.The patients’HUERAS scores were between 11 and 30,with an average score of 17.25±3.73.The scores of patients with or without unplanned extubation were 22.85±3.28 and 17.25±3.73,respectively(P<0.001).The results of the correlation analysis showed that the correlation coefficients between each characteristic and the total score ranged from 0.183 to 0.843.The best cut-off value was 21,and there were 14135 patients with a high risk of unplanned extubation,accounting for 18.59%.The Cronbach’sα,sensitivity,specificity,positive predictive value,and negative predictive value of the Huaxi Unplanned Extubation Risk Assessment Scale were 0.815,84.62%,81.43%,0.16%,and 99.99%,respectively.The AUC of HUERAS was 0.851(95%CI:0.783-0.919,P<0.001).CONCLUSION The HUERAS has good reliability and predictive validity.It can effectively identify inpatients at a high risk of unplanned extubation and help clinical nurses carry out risk screening and management.展开更多
Objective To analyze factors associated with unplanned revascularization(UR) risk in patients with coronary artery disease(CAD) who underwent percutaneous coronary intervention(PCI).Methods A total of 10,640 cases wit...Objective To analyze factors associated with unplanned revascularization(UR) risk in patients with coronary artery disease(CAD) who underwent percutaneous coronary intervention(PCI).Methods A total of 10,640 cases with CAD who underwent PCI were analyzed. Multivariate COX regressions and competing risk regressions were applied.Results The patients who underwent UR following PCI in 30 days, 1, and 2 years accounted for 0.3%,6.5%, and 8.7%, respectively. After multivariate adjustment, the number of target lesions [hazard ratio(HR) = 2.320;95% confidence interval(CI): 1.643–3.277;P < 0.001], time of procedure(HR = 1.006;95%CI: 1.001–1.010;P = 0.014), body mass index(HR = 1.104;95% CI: 1.006–1.210;P = 0.036), incomplete revascularization(ICR)(HR = 2.476;95% CI: 1.030–5.952;P = 0.043), and age(HR = 1.037;95% CI:1.000–1.075;P = 0.048) were determined as independent risk factors of 30-day UR. Factors, including low-molecular-weight heparin or fondaparinux(HR = 0.618;95% CI: 0.531–0.719;P < 0.001), secondgeneration durable polymer drug-eluting stent(HR = 0.713;95% CI: 0.624–0.814;P < 0.001), left anterior descending artery involvement(HR = 0.654;95% CI: 0.530–0.807;P < 0.001), and age(HR = 0.992;95%CI: 0.985–0.998;P = 0.014), were independently associated with decreased two-year UR risk. While,Synergy Between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery score(HR =1.024;95% CI: 1.014–1.033;P < 0.001) and ICR(HR = 1.549;95% CI: 1.290–1.860;P < 0.001) were negatively associated with two-year UR risk.Conclusion Specific factors were positively or negatively associated with short-and medium-long-term UR following PCI.展开更多
Introduction: Performance monitoring and performance improvement (PI) are increasingly important. Little is known regarding unplanned re-admission (UPR) in trauma patients. This study characterizes UPRs at one institu...Introduction: Performance monitoring and performance improvement (PI) are increasingly important. Little is known regarding unplanned re-admission (UPR) in trauma patients. This study characterizes UPRs at one institution. Methods: Retrospective descriptive review of UPR to a Level I Trauma Center Information was obtained on: initial trauma diagnoses, diagnosis precipitating UPR, discharge interval, treatment rendered and length of stay (LOS) during both encounters, and PI committee judgments. Characteristics of UPR patients were determined and compared to those of all discharged patients. Descriptive statistics were applied. Results: Over 2.5 years there were 2827 discharges and 58 UPR(2%). The majority of original diagnoses were related to blunt trauma and head injuries. UPR occurred at a median of 3 days, with 54% re-admitted to the trauma service. Operative rate for UPR patients during the initial admission was 48% with 28%requiring operation on the UPR. Headache and wound issues were responsible for 42% of UPR. Diagnosis precipitating UPR was primarily related to post-operative complications in 26% of all UPR and 57% of those undergoing operation on the initial admission. Median LOS for UPR was 3days with ICU care being required by 13%. Of all UPRs,33% were attributable to opportunities for improved care (OFI) during the first admission. Identified OFIs were related to errors in technique (53%), errors in judgment (27%), and system issues (20%). Of UPR without OFI, 87% were related to disease and13% systems issues. Conclusion: UPR at a Level I trauma center is rare, occurs shortly after discharge, is brief in duration and usually related to postoperative wound issues or headache. Post operative patients seem at greater risk for UPR. While most UPR are considered non-preventable, attention to discharge instructions,patient education, resident education and supervisionand outpatient support, may obviate a number of preventable UPRs.展开更多
Unplanned pregnancy is a pregnancy that is either mistimed or unwanted at the time of conception. It is a core concept in understanding the fertility of populations and the unmet need for contraception. Unintended pre...Unplanned pregnancy is a pregnancy that is either mistimed or unwanted at the time of conception. It is a core concept in understanding the fertility of populations and the unmet need for contraception. Unintended pregnancy is associated with an increased risk of morbidity for women, and with health behaviors during pregnancy with adverse effects. And the aim of this study is to establish the level of effect of the unplanned pregnancy in women college in Wadajir district. This study used a cross-sectional study design. And the aim of this study is to establish the level of effect of the unplanned pregnancy on women college in Wadajir district. This study was being used cross sectional study design. This research had undertaken Wadajir district in Banadir region Mogadishu-Somalia. The sample size was 60 participating in the data collection phase from 1-30 Jun 2020. This study used primary data. This was collected from respondents in the area of study. Data was collected using a pre-cod structured questionnaire for the survey. Data showed that: 39 (65%) of the respondents answered yes that lack of education caused most unplanned pregnancy, 40 (66%) said that low-income countries are the risk factor of unplanned pregnancy, 47 (78%) of the respondents answered family planning is most common preventive for unplanned pregnancy, and 0 (67%) said that school dropout is the most compilation of unplanned pregnancy. Based on the findings of this research, the knowledge of the majority of respondents about unplanned pregnancy among women college replied yes, and they also replied that the most cause of unplanned pregnancy among women college is lack of education.展开更多
A grid connected microgrid connects to the grid at a point of common coupling. Due to the great inertia of the grid which accelerates and decelerates the generator when its frequency tends to deviate, the grid connect...A grid connected microgrid connects to the grid at a point of common coupling. Due to the great inertia of the grid which accelerates and decelerates the generator when its frequency tends to deviate, the grid connected microgrid operates at a frequency of the infinity bus. Frequency instability is one of the major challenges facing the grid connected microgrid during islanding. The power demand variation causes the variation in rotor speed, resulting to frequency deviation. Frequency can be brought back to standard by varying the power generation to match with the varying load. The performance of the frequency stability control system at Mwenga hydroelectric microgrid has been studied. Through site visitation, the power demand and generation status data were collected and analysed for model preparation. The results of the study indicate that, during islanding, the Mwenga rural electrification project is observed to be subjected to power imbalance which leads to frequency instability. Although the frequency control system tries to keep the system at a nominal frequency by maintaining the continuous balance between generation and varying load demand, however the system still operates with large magnitude of overshoot, undershoot and longer settling time.展开更多
Objective:To investigate the application effect of quality control circle activities in reducing the rate of unplanned extubation of venous access in perioperative patients.Methods:The quality control circle method wa...Objective:To investigate the application effect of quality control circle activities in reducing the rate of unplanned extubation of venous access in perioperative patients.Methods:The quality control circle method was used to analyze the causes,identify the actual causes of unplanned out-of-control,take corresponding measures,formulate corresponding countermeasures,implement standardized management,and carry out continuous improvement.Results:Following the implementation of quality control circle activities,the rate of unplanned extubation of venous access in perioperative patients decreased from 27.35%before improvement to 3.42%after improvement.Conclusion:The use of quality control circle activities in the safety management of venous access in perioperative patients is conducive to reducing the rate of unplanned extubation of venous access in perioperative patients.展开更多
基金This study has been reviewed and approved by the Clinical Research Ethics Committee of Wenzhou Central Hospital and the First Hospital Affiliated to Wenzhou Medical University,No.KY2024-R016.
文摘BACKGROUND Colorectal cancer significantly impacts global health,with unplanned reoperations post-surgery being key determinants of patient outcomes.Existing predictive models for these reoperations lack precision in integrating complex clinical data.AIM To develop and validate a machine learning model for predicting unplanned reoperation risk in colorectal cancer patients.METHODS Data of patients treated for colorectal cancer(n=2044)at the First Affiliated Hospital of Wenzhou Medical University and Wenzhou Central Hospital from March 2020 to March 2022 were retrospectively collected.Patients were divided into an experimental group(n=60)and a control group(n=1984)according to unplanned reoperation occurrence.Patients were also divided into a training group and a validation group(7:3 ratio).We used three different machine learning methods to screen characteristic variables.A nomogram was created based on multifactor logistic regression,and the model performance was assessed using receiver operating characteristic curve,calibration curve,Hosmer-Lemeshow test,and decision curve analysis.The risk scores of the two groups were calculated and compared to validate the model.RESULTS More patients in the experimental group were≥60 years old,male,and had a history of hypertension,laparotomy,and hypoproteinemia,compared to the control group.Multiple logistic regression analysis confirmed the following as independent risk factors for unplanned reoperation(P<0.05):Prognostic Nutritional Index value,history of laparotomy,hypertension,or stroke,hypoproteinemia,age,tumor-node-metastasis staging,surgical time,gender,and American Society of Anesthesiologists classification.Receiver operating characteristic curve analysis showed that the model had good discrimination and clinical utility.CONCLUSION This study used a machine learning approach to build a model that accurately predicts the risk of postoperative unplanned reoperation in patients with colorectal cancer,which can improve treatment decisions and prognosis.
基金Supported by West China Nursing Discipline Development Special Fund Project,Sichuan University,No.HXHL19059。
文摘BACKGROUND Critical patients often had various types of tubes,unplanned extubation of any kind of tube may cause serious injury to the patient,but previous reports mainly focused on endotracheal intubation.The limitations or incorrect use of the unplanned extubation risk assessment tool may lead to improper identification of patients at a high risk of unplanned extubation and cause delay or nonimplementation of unplanned extubation prevention interventions.To effectively identify and manage the risk of unplanned extubation,a comprehensive and universal unplanned extubation risk assessment tool is needed.AIM To assess the predictive value of the Huaxi Unplanned Extubation Risk Assessment Scale in inpatients.METHODS This was a retrospective validation study.In this study,medical records were extracted between October 2020 and September 2021 from a tertiary comprehensive hospital in southwest China.For patients with tubes during hospitalization,the following information was extracted from the hospital information system:age,sex,admission mode,education,marital status,number of tubes,discharge mode,unplanned extubation occurrence,and the Huaxi Unplanned Extubation Risk Assessment Scale(HUERAS)score.Only inpatients were included,and those with indwelling needles were excluded.The best cut-off value and the area under the curve(AUC)of the Huaxi Unplanned Extubation Risk Assessment Scale were been identified.RESULTS A total of 76033 inpatients with indwelling tubes were included in this study,and 26 unplanned extubations occurred.The patients’HUERAS scores were between 11 and 30,with an average score of 17.25±3.73.The scores of patients with or without unplanned extubation were 22.85±3.28 and 17.25±3.73,respectively(P<0.001).The results of the correlation analysis showed that the correlation coefficients between each characteristic and the total score ranged from 0.183 to 0.843.The best cut-off value was 21,and there were 14135 patients with a high risk of unplanned extubation,accounting for 18.59%.The Cronbach’sα,sensitivity,specificity,positive predictive value,and negative predictive value of the Huaxi Unplanned Extubation Risk Assessment Scale were 0.815,84.62%,81.43%,0.16%,and 99.99%,respectively.The AUC of HUERAS was 0.851(95%CI:0.783-0.919,P<0.001).CONCLUSION The HUERAS has good reliability and predictive validity.It can effectively identify inpatients at a high risk of unplanned extubation and help clinical nurses carry out risk screening and management.
基金National Natural Science Foundation of China No. 81770365National Key Research and Development Program of China No. 2016YFC1301301Beijing United Heart Foundation No. BJUHFCSOARF201901-19。
文摘Objective To analyze factors associated with unplanned revascularization(UR) risk in patients with coronary artery disease(CAD) who underwent percutaneous coronary intervention(PCI).Methods A total of 10,640 cases with CAD who underwent PCI were analyzed. Multivariate COX regressions and competing risk regressions were applied.Results The patients who underwent UR following PCI in 30 days, 1, and 2 years accounted for 0.3%,6.5%, and 8.7%, respectively. After multivariate adjustment, the number of target lesions [hazard ratio(HR) = 2.320;95% confidence interval(CI): 1.643–3.277;P < 0.001], time of procedure(HR = 1.006;95%CI: 1.001–1.010;P = 0.014), body mass index(HR = 1.104;95% CI: 1.006–1.210;P = 0.036), incomplete revascularization(ICR)(HR = 2.476;95% CI: 1.030–5.952;P = 0.043), and age(HR = 1.037;95% CI:1.000–1.075;P = 0.048) were determined as independent risk factors of 30-day UR. Factors, including low-molecular-weight heparin or fondaparinux(HR = 0.618;95% CI: 0.531–0.719;P < 0.001), secondgeneration durable polymer drug-eluting stent(HR = 0.713;95% CI: 0.624–0.814;P < 0.001), left anterior descending artery involvement(HR = 0.654;95% CI: 0.530–0.807;P < 0.001), and age(HR = 0.992;95%CI: 0.985–0.998;P = 0.014), were independently associated with decreased two-year UR risk. While,Synergy Between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery score(HR =1.024;95% CI: 1.014–1.033;P < 0.001) and ICR(HR = 1.549;95% CI: 1.290–1.860;P < 0.001) were negatively associated with two-year UR risk.Conclusion Specific factors were positively or negatively associated with short-and medium-long-term UR following PCI.
文摘Introduction: Performance monitoring and performance improvement (PI) are increasingly important. Little is known regarding unplanned re-admission (UPR) in trauma patients. This study characterizes UPRs at one institution. Methods: Retrospective descriptive review of UPR to a Level I Trauma Center Information was obtained on: initial trauma diagnoses, diagnosis precipitating UPR, discharge interval, treatment rendered and length of stay (LOS) during both encounters, and PI committee judgments. Characteristics of UPR patients were determined and compared to those of all discharged patients. Descriptive statistics were applied. Results: Over 2.5 years there were 2827 discharges and 58 UPR(2%). The majority of original diagnoses were related to blunt trauma and head injuries. UPR occurred at a median of 3 days, with 54% re-admitted to the trauma service. Operative rate for UPR patients during the initial admission was 48% with 28%requiring operation on the UPR. Headache and wound issues were responsible for 42% of UPR. Diagnosis precipitating UPR was primarily related to post-operative complications in 26% of all UPR and 57% of those undergoing operation on the initial admission. Median LOS for UPR was 3days with ICU care being required by 13%. Of all UPRs,33% were attributable to opportunities for improved care (OFI) during the first admission. Identified OFIs were related to errors in technique (53%), errors in judgment (27%), and system issues (20%). Of UPR without OFI, 87% were related to disease and13% systems issues. Conclusion: UPR at a Level I trauma center is rare, occurs shortly after discharge, is brief in duration and usually related to postoperative wound issues or headache. Post operative patients seem at greater risk for UPR. While most UPR are considered non-preventable, attention to discharge instructions,patient education, resident education and supervisionand outpatient support, may obviate a number of preventable UPRs.
文摘Unplanned pregnancy is a pregnancy that is either mistimed or unwanted at the time of conception. It is a core concept in understanding the fertility of populations and the unmet need for contraception. Unintended pregnancy is associated with an increased risk of morbidity for women, and with health behaviors during pregnancy with adverse effects. And the aim of this study is to establish the level of effect of the unplanned pregnancy in women college in Wadajir district. This study used a cross-sectional study design. And the aim of this study is to establish the level of effect of the unplanned pregnancy on women college in Wadajir district. This study was being used cross sectional study design. This research had undertaken Wadajir district in Banadir region Mogadishu-Somalia. The sample size was 60 participating in the data collection phase from 1-30 Jun 2020. This study used primary data. This was collected from respondents in the area of study. Data was collected using a pre-cod structured questionnaire for the survey. Data showed that: 39 (65%) of the respondents answered yes that lack of education caused most unplanned pregnancy, 40 (66%) said that low-income countries are the risk factor of unplanned pregnancy, 47 (78%) of the respondents answered family planning is most common preventive for unplanned pregnancy, and 0 (67%) said that school dropout is the most compilation of unplanned pregnancy. Based on the findings of this research, the knowledge of the majority of respondents about unplanned pregnancy among women college replied yes, and they also replied that the most cause of unplanned pregnancy among women college is lack of education.
文摘A grid connected microgrid connects to the grid at a point of common coupling. Due to the great inertia of the grid which accelerates and decelerates the generator when its frequency tends to deviate, the grid connected microgrid operates at a frequency of the infinity bus. Frequency instability is one of the major challenges facing the grid connected microgrid during islanding. The power demand variation causes the variation in rotor speed, resulting to frequency deviation. Frequency can be brought back to standard by varying the power generation to match with the varying load. The performance of the frequency stability control system at Mwenga hydroelectric microgrid has been studied. Through site visitation, the power demand and generation status data were collected and analysed for model preparation. The results of the study indicate that, during islanding, the Mwenga rural electrification project is observed to be subjected to power imbalance which leads to frequency instability. Although the frequency control system tries to keep the system at a nominal frequency by maintaining the continuous balance between generation and varying load demand, however the system still operates with large magnitude of overshoot, undershoot and longer settling time.
文摘Objective:To investigate the application effect of quality control circle activities in reducing the rate of unplanned extubation of venous access in perioperative patients.Methods:The quality control circle method was used to analyze the causes,identify the actual causes of unplanned out-of-control,take corresponding measures,formulate corresponding countermeasures,implement standardized management,and carry out continuous improvement.Results:Following the implementation of quality control circle activities,the rate of unplanned extubation of venous access in perioperative patients decreased from 27.35%before improvement to 3.42%after improvement.Conclusion:The use of quality control circle activities in the safety management of venous access in perioperative patients is conducive to reducing the rate of unplanned extubation of venous access in perioperative patients.