Comprehensive 3D model tests and numerical simulation were performed to study the effects of wave obliquity and multidirectionality on the wave forces acting on vertical breakwaters. The variation of wave forces actin...Comprehensive 3D model tests and numerical simulation were performed to study the effects of wave obliquity and multidirectionality on the wave forces acting on vertical breakwaters. The variation of wave forces acting on the unit length of a breakwater was analyzed, and the results were compared with Goda＇s formula. A numerical model based on a short-crest wave system was used to model regular wave forces for practical use, which showed good results for those waves with small incident angles.展开更多
<strong>Background:</strong><span style="font-family:;" "=""><span style="font-family:Verdana;"> Gabapentin is routinely prescribed preoperatively to decrease...<strong>Background:</strong><span style="font-family:;" "=""><span style="font-family:Verdana;"> Gabapentin is routinely prescribed preoperatively to decrease postoperative pain intensity. It is included in the enhanced recovery after surgery (ERAS) recommendations. </span><b><span style="font-family:Verdana;">Objective:</span></b><span style="font-family:Verdana;"> To analyze correlation of gabapentin dosage and post anesthesia care unit (PACU) length of stay (LOS) and cost. </span><b><span style="font-family:Verdana;">Study Design:</span></b><span style="font-family:Verdana;"> A retrospective chart review of patients who underwent general anesthesia and received preoperative oral gabapentin from June 2017 </span></span><span style="font-family:Verdana;">to</span><span style="font-family:;" "=""><span style="font-family:Verdana;"> August 2017 for pelvic and breast procedures. The main outcome was correlation between PACU LOS and gabapentin dosage in the outpatients. Financial analysis was performed to assess the cost to the hospital associated with increased LOS. </span><b><span style="font-family:Verdana;">Results:</span></b><span style="font-family:Verdana;"> Of the 636 patients, 405 patients received 300 </span><span style="font-family:Verdana;">mg and 231 patients received 100 mg gabapentin. Mean dosage per kg (mg/k</span><span style="font-family:Verdana;">g ±</span></span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">SD) was 3.12</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">±</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">1.51 (range: </span><span style="font-family:Verdana;">0</span><span style="font-family:Verdana;">.86 to 6.12). PACU LOS was 96</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">±</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">77 (minutes ±</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">SD) in patients receiving 100 mg and 120</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">±</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">96 in patients receiving 300 mg capsule (p</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">=</span><span style="font-family:;" "=""> </span><span style="font-family:;" "=""><span style="font-family:Verdana;">0.001). Linear regression analysis, failed to show a </span><span style="font-family:Verdana;">statistically significant correlation between per kg dosage and PACU LOS (</span><span style="font-family:Verdana;">p</span></span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">=</span><span style="font-family:Verdana;"> 0</span><span style="font-family:Verdana;">.13). Using multiple regression analysis, we calculated the correlation coefficient to be +1.71 minutes per 1mg/kg gabapentin (95% CI: -</span><span style="font-family:Verdana;">3.75 to +7.10, p</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">=</span><span style="font-family:Verdana;"> 0</span><span style="font-family:Verdana;">.54) after adjusting for confounders. Adding 3</span><span style="font-family:;" "=""> </span><span style="font-family:;" "=""><span style="font-family:Verdana;">mg/kg to pre-op g</span><span style="font-family:Verdana;">abapentin dosage of all outpatients cost on average</span></span><span style="font-family:Verdana;">,</span><span style="font-family:Verdana;"> an extra $9794 per mo</span><span style="font-family:;" "=""><span style="font-family:Verdana;">nth in this cohort. </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> Every 1mg/kg increase in gabapentin dosage adds an estimated 7.1 minutes to PACU LOS. A 3</span></span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">mg/kg increase in gabapentin adds estimated 22 additional minutes in PACU LOS. Unfortunately, increase LOS is associated with increased hospital costs.</span>展开更多
Intensive care unit-acquired weakness(ICU-AW)significantly hampers patient recovery and increases morbidity.With the absence of established preventive strategies,this study utilizes advanced machine learning methodolo...Intensive care unit-acquired weakness(ICU-AW)significantly hampers patient recovery and increases morbidity.With the absence of established preventive strategies,this study utilizes advanced machine learning methodologies to unearth key predictors of ICU-AW.Employing a sophisticated multilayer perceptron neural network,the research methodically assesses the predictive power for ICU-AW,pinpointing the length of ICU stay and duration of mechanical ventilation as pivotal risk factors.The findings advocate for minimizing these elements as a preventive approach,offering a novel perspective on combating ICU-AW.This research illuminates critical risk factors and lays the groundwork for future explorations into effective prevention and intervention strategies.展开更多
BACKGROUND Intensive care units(ICUs)are stressful milieus for patients,particularly when under mechanical ventilation.Music is a non-pharmacological intervention that has shown a positive impact on physiological and ...BACKGROUND Intensive care units(ICUs)are stressful milieus for patients,particularly when under mechanical ventilation.Music is a non-pharmacological intervention that has shown a positive impact on physiological and psychological parameters in patients on mechanical ventilation.AIM To evaluate outcome of music therapy on patients who are critically ill to note the effect on ICU stays.METHODS One-hundred-and-thirty-six adult patients with acute respiratory failure requiring mechanical ventilation for 48 hours or more were randomized into the music therapy or routine care(control)groups.Patients were assessed for weaning criteria before music therapy was given.If eligible,a 30-minute music therapy was given prior to the extubation.Vital parameters were recorded at 5-minute intervals of therapy.Visual Analog Scale(VAS)-Dyspnea and VAS-Anxiety(VASA)were assessed before and after therapy.Richmond Agitation-Sedation Scale and Numerical Rating Scale scoring were conducted.RESULTS The difference in times of ventilator support in the music therapy intervention group(58.22±14.90 hours)and the control group(56.88±13.10 hours)was not statistically significant.ICU length of stay was significantly lower in the music therapy group(4.97±1.70 days vs control group:5.70±1.74 days).ICU mortality was significantly lower in the music therapy group as compared with the control group(7.4%vs 19.1%;P=0.043).At 0 minute the VAS-A scores of the music therapy(6.82±1.36)and control group(7.07±1.07)were comparable.During the remainder of the observation period,the VAS score of the music therapy group was significantly lower than that of the control group.CONCLUSION Music therapy is an inexpensive non-pharmacological intervention for patients in the ICU.However,future multicenter studies are warranted before routinely using music therapy in patients in the ICU.展开更多
目的:探讨影响孕产妇入住重症监护室(intensive care unit,ICU)超过48 h的危险因素并寻找预测指标。方法:纳入重庆医科大学附属妇女儿童医院2023年1月至12月ICU中收治的危重孕妇或产后42 d内产妇,共纳入146例。根据孕产妇在ICU住院时间...目的:探讨影响孕产妇入住重症监护室(intensive care unit,ICU)超过48 h的危险因素并寻找预测指标。方法:纳入重庆医科大学附属妇女儿童医院2023年1月至12月ICU中收治的危重孕妇或产后42 d内产妇,共纳入146例。根据孕产妇在ICU住院时间将其分为≤48 h的短期组(n=60),>48 h的长期组(n=86)。记录并分析孕产妇一般资料、妊娠特征、ICU治疗手段、生命体征及实验室检查等资料。运用受试者工作特征(receiver operating characteristic,ROC)曲线分析上述指标对孕产妇入住ICU超过48 h的预测价值。结果:与短期组比较,长期组进行机械通气(P=0.001)、放射影像学检查(P=0.022)、降压(P=0.001)、利尿(P=0.001)、抗生素(P=0.006)等药物治疗,以及接受超过5 U输血(P=0.032)等治疗的比例明显升高。长期组孕产妇的孕检次数(P=0.003)明显少于短期组,入住ICU时体质指数(body mass index,BMI)值(P=0.012)明显高于短期组。长期组中合并妊娠期高血压疾病的孕产妇更多(P=0.016)。此外,长期组孕产妇血压水平明显高于短期组(P=0.001),白蛋白、谷丙转氨酶、直接胆红素、24 h尿蛋白与血清肌酐水平与短期组比较,差异有统计学意义(P<0.05)。ROC分析发现无论是收缩压[曲线下面积(area under the curve,AUC)=0.825]、舒张压(AUC=0.782),还是平均动脉压(AUC=0.811)对预测孕产妇ICU住院时间>48 h的评估价值均较高。孕检次数与妊娠期高血压疾病的孕产妇ICU住院时间进一步延长(P<0.05)。结论:妊娠期高血压疾病是延长孕产妇ICU住院时间的重要危险因素,可为孕产妇的重症监护与管理提供一定思路。展开更多
基金Project supported by the National Nature Science Foundation of China (Grant No: 50079001).
文摘Comprehensive 3D model tests and numerical simulation were performed to study the effects of wave obliquity and multidirectionality on the wave forces acting on vertical breakwaters. The variation of wave forces acting on the unit length of a breakwater was analyzed, and the results were compared with Goda＇s formula. A numerical model based on a short-crest wave system was used to model regular wave forces for practical use, which showed good results for those waves with small incident angles.
文摘<strong>Background:</strong><span style="font-family:;" "=""><span style="font-family:Verdana;"> Gabapentin is routinely prescribed preoperatively to decrease postoperative pain intensity. It is included in the enhanced recovery after surgery (ERAS) recommendations. </span><b><span style="font-family:Verdana;">Objective:</span></b><span style="font-family:Verdana;"> To analyze correlation of gabapentin dosage and post anesthesia care unit (PACU) length of stay (LOS) and cost. </span><b><span style="font-family:Verdana;">Study Design:</span></b><span style="font-family:Verdana;"> A retrospective chart review of patients who underwent general anesthesia and received preoperative oral gabapentin from June 2017 </span></span><span style="font-family:Verdana;">to</span><span style="font-family:;" "=""><span style="font-family:Verdana;"> August 2017 for pelvic and breast procedures. The main outcome was correlation between PACU LOS and gabapentin dosage in the outpatients. Financial analysis was performed to assess the cost to the hospital associated with increased LOS. </span><b><span style="font-family:Verdana;">Results:</span></b><span style="font-family:Verdana;"> Of the 636 patients, 405 patients received 300 </span><span style="font-family:Verdana;">mg and 231 patients received 100 mg gabapentin. Mean dosage per kg (mg/k</span><span style="font-family:Verdana;">g ±</span></span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">SD) was 3.12</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">±</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">1.51 (range: </span><span style="font-family:Verdana;">0</span><span style="font-family:Verdana;">.86 to 6.12). PACU LOS was 96</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">±</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">77 (minutes ±</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">SD) in patients receiving 100 mg and 120</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">±</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">96 in patients receiving 300 mg capsule (p</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">=</span><span style="font-family:;" "=""> </span><span style="font-family:;" "=""><span style="font-family:Verdana;">0.001). Linear regression analysis, failed to show a </span><span style="font-family:Verdana;">statistically significant correlation between per kg dosage and PACU LOS (</span><span style="font-family:Verdana;">p</span></span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">=</span><span style="font-family:Verdana;"> 0</span><span style="font-family:Verdana;">.13). Using multiple regression analysis, we calculated the correlation coefficient to be +1.71 minutes per 1mg/kg gabapentin (95% CI: -</span><span style="font-family:Verdana;">3.75 to +7.10, p</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">=</span><span style="font-family:Verdana;"> 0</span><span style="font-family:Verdana;">.54) after adjusting for confounders. Adding 3</span><span style="font-family:;" "=""> </span><span style="font-family:;" "=""><span style="font-family:Verdana;">mg/kg to pre-op g</span><span style="font-family:Verdana;">abapentin dosage of all outpatients cost on average</span></span><span style="font-family:Verdana;">,</span><span style="font-family:Verdana;"> an extra $9794 per mo</span><span style="font-family:;" "=""><span style="font-family:Verdana;">nth in this cohort. </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> Every 1mg/kg increase in gabapentin dosage adds an estimated 7.1 minutes to PACU LOS. A 3</span></span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">mg/kg increase in gabapentin adds estimated 22 additional minutes in PACU LOS. Unfortunately, increase LOS is associated with increased hospital costs.</span>
文摘Intensive care unit-acquired weakness(ICU-AW)significantly hampers patient recovery and increases morbidity.With the absence of established preventive strategies,this study utilizes advanced machine learning methodologies to unearth key predictors of ICU-AW.Employing a sophisticated multilayer perceptron neural network,the research methodically assesses the predictive power for ICU-AW,pinpointing the length of ICU stay and duration of mechanical ventilation as pivotal risk factors.The findings advocate for minimizing these elements as a preventive approach,offering a novel perspective on combating ICU-AW.This research illuminates critical risk factors and lays the groundwork for future explorations into effective prevention and intervention strategies.
文摘BACKGROUND Intensive care units(ICUs)are stressful milieus for patients,particularly when under mechanical ventilation.Music is a non-pharmacological intervention that has shown a positive impact on physiological and psychological parameters in patients on mechanical ventilation.AIM To evaluate outcome of music therapy on patients who are critically ill to note the effect on ICU stays.METHODS One-hundred-and-thirty-six adult patients with acute respiratory failure requiring mechanical ventilation for 48 hours or more were randomized into the music therapy or routine care(control)groups.Patients were assessed for weaning criteria before music therapy was given.If eligible,a 30-minute music therapy was given prior to the extubation.Vital parameters were recorded at 5-minute intervals of therapy.Visual Analog Scale(VAS)-Dyspnea and VAS-Anxiety(VASA)were assessed before and after therapy.Richmond Agitation-Sedation Scale and Numerical Rating Scale scoring were conducted.RESULTS The difference in times of ventilator support in the music therapy intervention group(58.22±14.90 hours)and the control group(56.88±13.10 hours)was not statistically significant.ICU length of stay was significantly lower in the music therapy group(4.97±1.70 days vs control group:5.70±1.74 days).ICU mortality was significantly lower in the music therapy group as compared with the control group(7.4%vs 19.1%;P=0.043).At 0 minute the VAS-A scores of the music therapy(6.82±1.36)and control group(7.07±1.07)were comparable.During the remainder of the observation period,the VAS score of the music therapy group was significantly lower than that of the control group.CONCLUSION Music therapy is an inexpensive non-pharmacological intervention for patients in the ICU.However,future multicenter studies are warranted before routinely using music therapy in patients in the ICU.
文摘目的:探讨影响孕产妇入住重症监护室(intensive care unit,ICU)超过48 h的危险因素并寻找预测指标。方法:纳入重庆医科大学附属妇女儿童医院2023年1月至12月ICU中收治的危重孕妇或产后42 d内产妇,共纳入146例。根据孕产妇在ICU住院时间将其分为≤48 h的短期组(n=60),>48 h的长期组(n=86)。记录并分析孕产妇一般资料、妊娠特征、ICU治疗手段、生命体征及实验室检查等资料。运用受试者工作特征(receiver operating characteristic,ROC)曲线分析上述指标对孕产妇入住ICU超过48 h的预测价值。结果:与短期组比较,长期组进行机械通气(P=0.001)、放射影像学检查(P=0.022)、降压(P=0.001)、利尿(P=0.001)、抗生素(P=0.006)等药物治疗,以及接受超过5 U输血(P=0.032)等治疗的比例明显升高。长期组孕产妇的孕检次数(P=0.003)明显少于短期组,入住ICU时体质指数(body mass index,BMI)值(P=0.012)明显高于短期组。长期组中合并妊娠期高血压疾病的孕产妇更多(P=0.016)。此外,长期组孕产妇血压水平明显高于短期组(P=0.001),白蛋白、谷丙转氨酶、直接胆红素、24 h尿蛋白与血清肌酐水平与短期组比较,差异有统计学意义(P<0.05)。ROC分析发现无论是收缩压[曲线下面积(area under the curve,AUC)=0.825]、舒张压(AUC=0.782),还是平均动脉压(AUC=0.811)对预测孕产妇ICU住院时间>48 h的评估价值均较高。孕检次数与妊娠期高血压疾病的孕产妇ICU住院时间进一步延长(P<0.05)。结论:妊娠期高血压疾病是延长孕产妇ICU住院时间的重要危险因素,可为孕产妇的重症监护与管理提供一定思路。
基金Supported by the National Natural Science Foundation of China under Grant No.60473140(国家自然科学基金)the National HighTech Research and Development Plan of China under Grant No.2006AA01Z154(国家高技术研究发展计划(863))+1 种基金the Program for New Century Excellent Talents in University under Grant No.NCET050287(新世纪优秀人才支持计划)the National 985 Project of China under Grant No.9852DBC03(国家985工程)
