ObjectiveTo investigate the mid-to-long term quality of life (QOL) and influencing factors in the patients after heart valve replacement.MethodsConvenient sampling method was used to recruit 224 patients who had heart valve replacement surgery in our hospital from June 2008 to June 2017. There were 63 males and 161 females, aged 18-83 (51.49±10.60) years. General information questionnaire and MOS SF-36 scale were used to collect data. Univariate analysis and multiple linear regression analysis were used to analyze and determine the influencing factors for the QOL.ResultsThe total score of QOL of 224 patients was 71.78±17.60 points. All these scores of the patients were significantly lower than those of the general population of Chengdu (P<0.05) except the dimension of vitality. The QOL scores differences between sex, marital status, family income, working condition, the occurrence of anticoagulant complications and other complications were significant (P<0.05). Multivariate analysis showed that family income, working condition, the occurrence of anticoagulant complications and other complications could be included in the regression model, explaining 26.8% of total variance. ConclusionThe mid-to-long term QOL is lower in the patients after heart valve replacement. Family income, working condition, anticoagulant complications and other complications are the main influencing factors for mid-to-long term QOL for patients after heart valve replacement.
目的 總結胸腔鏡下二尖瓣置換術的護理配合要點。 方法 2011年7月－12月利用腔鏡技術以肋間開胸方式對5例心臟疾患患者施行二尖瓣置換手術，術前充分準備和術中密切配合，確保了手術的順利施行和完成。 結果 除1例患者因術中出血改為傳統開胸手術外，其余4例均順利完成手術。患者術中出血量平均約300 mL，術后平均引流量約100 mL，手術平均時間4 h，患者術后在監護室留觀1 d后轉入病房。 結論 腔鏡二尖瓣置換術是一項值得推廣的手術方式，護理人員要不斷加強知識的學習和更新，以適應新術式發展對護理工作的挑戰和要求。
目的 提高胸心血管外科患者ICU轉出交接班質量，避免護理差錯和糾紛。 方法 2010年1月－6月，針對患者轉運出現的問題，在查閱文獻及專家咨詢的情況下，設計制定胸心血管外科ICU患者轉出交接單，對患者轉出ICU時的病情、用藥、并發癥等信息進行完善，同時規范交接班簽字手續。采用調查問卷方式，對交接單運用效果進行評價。 結果 轉出交接單的應用，提高了病房護士對ICU護士交接班質量滿意度，除“醫囑單正確執行”、“簽字和藥物交接班清楚”與運用前滿意程度無差異外，其余條目滿意程度均有所增加，增加率波動在3.7%～33.4%。 結論 轉出交接單使用能夠提高ICU患者術后轉運交接質量，預防護理差錯和糾紛，確保證患者安全。
Objective To summarize the characteristics of surgery-related near misses including events composition, cause of incident, specialty category, personnel allocation etc, and to provide experience of feedforward control for the nurses in operating room and a clinical basis of safety standards for the management of operating rooms. Method The 240 surgery-related near misses occurred between July 2014 and July 2016 were retrospectively analyzed, using frequencies and percentiles to describe the count data. Results The 240 surgery-related near misses were mainly associated with surgical stitches (91 cases, 37.9%), surgical dressings (52 cases, 21.7%) and surgical instruments (45 cases, 18.8%). The main features of the 91 cases of surgical stitching included loss of suture needles (40.7%, 37/91) and fracture events (37.4%, 34/91). Among the 52 cases of surgical dressings, the most commonly were gauze dressing events (43 cases, 82.7%), in which 19 were with unclear numbers of retained gauzes in the reoperation patient’s body, and 15 were postoperative counting anomalies. Among the 45 cases of surgical instruments, the fracture and defect were the most common (21 cases, 46.7%). Conclusion The operation nurses should focus on the prevention of suture needle loss, the surgical dressings loss and the fracture and defect of surgical instruments, etc, to reduce or avoid the surgery-related near misses.
ObjectiveTo summarize the research status of intelligent patient monitoring and risk warning, and provide reference and enlightenment for promoting the construction of intelligent monitoring and management platform of clinical patient risk.MethodThe literatures about patient monitoring and risk warning at home and abroad in recent years were reviewed.ResultsAt present, the research at home and abroad mainly focused on the retrospective construction of the prediction model of severe complications of inpatients by using the electronic medical record database. The clinical decision support system based on real-time vital signs and dynamic electronic medical record data was still in the early development stage, and there was no mature product with high market share.ConclusionsThe construction process of structured electronic medical record system should be further strengthened, and the fully integrated clinical decision support system and artificial intelligence self-learning system should be the key research and development direction in the future, so as to promote the deep integration of big data and artificial intelligence technology with clinical scenes.
【摘要】 目的 總結先天性心臟病術后無創通氣的監護。 方法 2008年1-12月胸外ICU 36例先天性心臟病術后患兒，在使用無創通氣前后監測血壓、心率、呼吸及血氣變化。 結果 與無創通氣前相比，無創通氣后30 min、1 h、2 h的指標均恢復到滿意水平，循環穩定。 結論 通過采用無創通氣，80%的患兒避免了再次插管，縮短有創通氣時間，同時避免了相關的呼吸道并發癥，縮短了患兒住院時間，節省了醫療費用，提升了先天性心臟病患兒術后成活率。【Abstract】 Objective To summarize the nursing experience of noninvasive ventilation for infants with congenital heart disease after the surgery. Methods A total of 36 patients who underwent noninvasive ventilation from January to December 2008 were enrolled. The blood pressure, heart rate, respiration, and blood gas were recorded and analyzed before and after noninvasive ventilation. Results Compared with the results before noninvasive ventilation, all of the indexes returned to a satisfying level and the circulation kept stable 30 minutes, one hour, and two hours after noninvasive ventilation. Conclusion Noninvasive ventilation may avoid reintubation, shorten the invasive ventilatory time, decrease the respiratory complications, shorten the time of hospitalization, save the medical expenses, and promote the survival rate of infants with congenital heart disease.
ObjectiveTo explore the changes of intraoperative temperature and influencing factors of the short-term prognosis of patients undergoing clipping of posterior communicating artery aneurysms.MethodsThe basic clinic data and intraoperative temperature of patients undergoing elective clipping of posterior communicating artery aneurysms between October 2018 and July 2019 were collected, and the minimum intraoperative temperature was categorized into ≥36.0 and <37.5℃, ≥35.0 and <36.0℃, and <35.0℃. According to the Glasgow outcome scale (GOS) at discharge, the patients were divided into good prognosis group (GOS 4-5) and bad prognosis group (GOS 1-3). Multiple logistic regression analysis was used to obtain the risk factors of short-term prognosis.ResultsA total of 127 cases were involved, and intraoperative hypothermia (<36.0℃) occurred in 64 cases (50.4%). The intraoperative temperature presented classical three-phrase changes, i.e. it dropped rapidly at 1 hour after anesthesia introduction, decreased slowly during 2-3 hours after anesthesia introduction, and then entered the plateau. In the 127 cases, 93 (73.2%) had good prognosis, with an intraoperative hypothermia proportion of 44.1% (41/93); and 34 (26.8%) had bad prognosis, with an intraoperative hypothermia proportion of 67.6% (23/34). Univariate analysis showed that Hunt-Hess grade (χ2=18.999, P<0.001), intraoperative bleeding (χ2=7.074, P=0.008), minimum intraoperative temperature (Z=?3.473, P=0.001), and postoperative complications (χ2=43.060, P<0.001) were related to the short-term prognosis of patients undergoing clipping of posterior communicating artery aneurysms. Multiple logistic regression analysis presented that high Hunt-Hess grade (Ⅳ, Ⅴ) [odds ratio (OR)=6.456, 95% confidence interval (CI) (1.141, 36.532), P=0.035], the minimum intraoperative temperature <35.0℃ [OR=7.552, 95%CI (1.450, 39.345), P=0.016], and postoperative complications [OR=22.866, 95%CI (6.778, 77.142), P<0.001] were independent risk factors of the short-term prognosis. The difference in short-term prognosis between patients with the minimum intraoperative temperature ≥35.0 and <36.0℃ and the ones with the minimum intraoperative temperature ≥36.0 and <37.5℃ was not statistically significant (P>0.05).ConclusionsThe minimum intraoperative temperature<35.0℃ and postoperative complications were changeable factors to effect progonosis of patients undergoing elective clipping of posterior communicating artery aneurysms. Clinical staff should set medical intervention measures based on the individual conditions of patients to improve patients’ quality of life.
Objective To investigate the opinions of operating room nurse (ORN) on enhanced recovery after surgery (ERAS). Methods A questionnaire survey was performed among 215 ORNs in West China Hospital. There were 10 males and 205 females at age of 33.4±8.84 years. Results A total of 154 ORNs (71.6%) thought that we already had very good ERAS theory but we still needed more practice. Thirty-four ORNs(15.8%) thought that the application of ERAS was poor in our clinic comparing to other countries.A percentage of 84.2% (181/215) ORNs thought the criteria to judge whether the ERAS succeed or not should be average days of hospitalization, patients' feeling, and experience and social satisfactions. Besides, 78.1% (168/215) ORNs selected team building as the key point of ERAS success. There were 91.2% (196/215) ORNs who believed expert consensus and ERAS guide should be worked out and propagandized through academic forum or conference in order to popularize the ERAS. Conclusion The theory of ERAS has already been accepted by almost all the clinicians and team building is the best way to make ERAS work well.
Inadvertent perioperative hypothermia (IPH) is one of the common complications of surgery, which can lead to a series of adverse consequences. In recent years, with the deepening development of precision medicine concepts, establishing predictive models to identify the risk of IPH early and implementing targeted interventions has become an important research direction for perioperative management. This article reviews the current research status of IPH predictive models in adults, focusing on the research design, modeling methods, selection of prediction factors, and prediction performance of different predictive models. It also explores the advantages and limitations of existing models, aiming to provide references for the selection, application, and optimization of relevant predictive models.