Reduction of laparoscopic-induced hypothermia, postoperative pain and recovery room length of stay by pre-conditioning gas with the Insuflow device: a prospective randomized controlled multi-center study.
(1/44)
OBJECTIVE: To assess the efficacy and safety of Insuflow (Georgia BioMedical, Inc.) filter heater hydrator device in reducing the incidence, severity and extent of hypothermia, length of recovery room stay and postoperative pain at the time of laparoscopy. DESIGN: Prospective, randomized, blinded, controlled multi-center study. Patients underwent gynecologic procedures via laparoscopy; surgeons, anesthesiologists and recovery room personnel assessed the results. SETTING: Seven North American institutions. PATIENTS: Seventy-two women for safety evaluation and efficacy studies. INTERVENTIONS: Intraoperative pre-conditioning of laparoscopic gas with the Insuflow device (treatment) or standard raw gas (control) during laparoscopic surgery and postoperatively. MAIN OUTCOME MEASURES: Incidence, severity and extent of hypothermia, postoperative pain perception and length of recovery room stay. RESULTS: The Insuflow group had significantly less intraoperative hypothermia, reduced length of recovery room stay and reduced postoperative pain. Pre-conditioning of laparoscopic gas by filtering heating and hydrating was well tolerated with no adverse effects. The safety profile of the Insuflow pre-conditioned gas showed significant benefits compared to currently used raw gas. CONCLUSIONS: Pre-conditioning laparoscopic gas by filtering heating and hydrating with the Insuflow device was significantly more effective than the currently used standard raw gas and was safe in reducing or eliminating laparoscopic-induced hypothermia, shortening recovery room length of stay and reducing postoperative pain. (+info)
Prediction on lengths of stay in the postanesthesia care unit following general anesthesia: preliminary study of the neural network and logistic regression modelling.
(2/44)
The length of stay in the postanesthesia care unit (PACU) following general anesthesia in adults is an important issue. A model, which can predict the results of PACU stays, could improve the utilization of PACU and operating room resources through a more efficient arrangement. The purpose of study was to compare the performance of neural network to logistic regression analysis using clinical sets of data from adult patients undergoing general anesthesia. An artificial neural network was trained with 409 clinical sets using backward error propagation and validated through independent testing of 183 records. Twenty-two inputs were used to find determinants and to predict categorical values. Logistic regression analysis was performed to provide a comparison. The neural network correctly predicted in 81.4% of situations and identified discriminating variables (intubated state, sex, neuromuscular blocker and intraoperative use of opioid), whereas the figure was 65.0% in logistic regression analysis. We concluded that the neural network could provide a useful predictive model for the optimization of limited resources. The neural network is a new alternative classifying method for developing a predictive paradigm, and it has a higher classifying performance compared to the logistic regression model. (+info)
Anaesthetic clinical indicators in public hospitals providing anaesthetic care in Hong Kong: prospective study.
(3/44)
OBJECTIVES: To assess the quality of anaesthetic services as defined in the six anaesthetic clinical indicators against preset standards and to identify risk factors for adverse events in the recovery room. DESIGN: Prospective study. SETTING: All public hospitals providing anaesthetic care in Hong Kong. PATIENTS: Eighteen thousand, seven hundred and fifty-nine patients receiving elective or emergency anaesthesia administered by anaesthetists from June 1998 to July 1998. MAIN OUTCOME MEASURES: Patient demographics, American Society of Anesthesiologists status, category and nature of operation, presence of preoperative anaesthetic visit in ward, type of anaesthesia, reasons for a recovery room stay of more than a 2-hour duration, intubation to relieve respiratory distress in the recovery room, presence of hypothermia in the recovery room for operations lasting more than 2 hours, and dental or ocular injuries attributable to anaesthesia. RESULTS: There are two major findings from this study. Firstly, a high incidence of hypothermia in the recovery room was reported. Secondly, a greater risk of prolonged stay in the recovery room was identified for patients older than 65 years, major operations, and anaesthetic techniques using combined general and regional anaesthesia. CONCLUSION: The six anaesthetic clinical indicators reflected the provision of anaesthetic care in public hospitals in Hong Kong. Good compliance to the preset standard of the anaesthetic clinical indicators was achieved during the study period. (+info)
Noise in the postanaesthesia care unit.
(4/44)
BACKGROUND: Although the postanaesthesia care unit (PACU) can be noisy, the effect of noise on patients recovering from anaesthesia is unknown. We studied the sources and intensity of noise in the PACU and assessed its effect on patients' comfort. METHODS: We measured noise in a five-bed PACU with a sound level meter. Noise levels were obtained using an A-weighted setting (dBA) and peak sound using a linear scale (dBL). Leq (average noise level at 5-s intervals), maximum Leq (LeqMax), minimum Leq (LeqMin) and noise peaks (Lpc) were calculated. During recording, an independent observer noted the origin of sounds from alarms and noise above 65 dB intensity (P65dB). Two hours after leaving the PACU, patients were asked about their experience and to rank their complaints on a visual analogue scale (VAS) using unstructured and structured questionnaires. RESULTS: We made 20,187 measurements over 1678 min. The mean Leq, LeqMax and LeqMin were 67.1 (SD 5.0), 75.7 (4.8) and 48.6 (4.1) dBA respectively. The mean Lpc was 126.2 (4.3) dBL. Five per cent of the noise was at a level above 65 dBA. Staff conversation caused 56% of sounds greater than 65 dB and other noise sources (alarm, telephone, nursing care) were each less than 10% of these sounds. Five patients reported disturbance from noise. There was no significant difference in Leq measured for patients who found the PACU noisy and those who did not [59.5 (3.1) and 59.4 (2.4) dBA respectively]. Stepwise multiple logistic regression indicated that only pain was associated with discomfort. CONCLUSIONS: Even though sound in the PACU exceeded the internationally recommended intensity (40 dBA), it did not cause discomfort. Conversation was the most common cause of excess noise. (+info)
PACU bypass after outpatient knee surgery is associated with fewer unplanned hospital admissions but more phase II nursing interventions.
(5/44)
BACKGROUND: The authors recently proposed a recovery scoring system for outpatients receiving regional anesthesia (RA) or general anesthesia (GA). This scoring system was designed to allow qualifying patients to be directly routed to the phase II (step-down) recovery unit instead of the traditional postanesthesia care unit (PACU). We report PACU bypass rates using these criteria, and the extent to which PACU bypass was associated with (1) required nursing interventions in the step-down recovery unit, and (2) successful same-day discharge. METHODS: Day-of-surgery outcomes were studied for 894 outpatients undergoing outpatient sports medicine surgery on the lower extremity. We determined PACU-bypass rates, nursing interventions in the step-down recovery unit for common symptoms, and unplanned hospital admissions. Using logistic regression, we analyzed step-down nursing interventions based on PACU requirement versus PACU bypass, and anesthesia techniques used (GA vs. not, peripheral nerve blocks vs. not). RESULTS: Eighty-seven percent (778/894) of all patients bypassed PACU. Of PACU-bypass patients, 241/778 (31%) required step-down nursing interventions. Of patients requiring PACU, only 19/116 (16%) required additional interventions in step-down (P < 0.001). PACU-bypass patients were almost three times more likely (odds ratio 2.9,P < 0.001) to require at least one nursing intervention in the step-down unit, when compared with patients requiring PACU. Fewer unplanned admissions were required by patients who bypassed PACU (odds ratio = 0.3,P = 0.007). CONCLUSIONS: For outpatient lower extremity surgery, applying our PACU-bypass criteria led to an 87% PACU bypass rate with no reportable adverse events. (+info)
Predictors of survival following cardiac arrest in patients undergoing noncardiac surgery: a study of 518,294 patients at a tertiary referral center.
(6/44)
BACKGROUND: The authors determined the incidence of cardiac arrest and predictors of survival following perioperative cardiac arrest in a large population of patients at a tertiary referral center. METHODS: Medical records of patients who experienced cardiac arrest in the perioperative period surrounding noncardiac surgery between January 1, 1990, and December 31, 2000, were reviewed. Logistic regression identified characteristics associated with immediate (>or= 1 h) and hospital survival, with P +info)
Hand-cleansing during postanesthesia care.
(7/44)
BACKGROUND: Transmission of microorganisms from the hands of healthcare workers is the main source of cross-infection and can be prevented by hand-cleansing. The authors assessed the compliance rate with hand-cleansing practices in the postanesthesia care unit and investigated factors associated with noncompliance. METHODS: Patient care activities, indications for and compliance of postanesthesia care unit staff with hand-cleansing, defined as either washing hands with soap and water or rubbing hands with alcohol, were monitored at the time of patient admission and during their stay. Multivariate analysis identified predictors of noncompliance with hand-cleansing on admission after adjustment for confounders. RESULTS: A total of 3,143 patient care activities, including 1,091 opportunities for hand-cleansing at high or medium risk for cross-transmission, were recorded among 187 patients. The higher the workload, the higher the number of indications for hand-cleansing and the lower the compliance. Average compliance with hand-cleansing at postanesthesia care unit admission was 19.6%. Independent predictors for noncompliance included caring for patients older than 65 yr (odds ratio, 2.23; 95% confidence interval, 1.40-3.57) and those recovering from clean/clean-contaminated surgery (odds ratio, 2.27; 95% confidence interval, 1.11-4.76), as well as high intensity of patient care (odds ratio, 1.01 per patient care activity; 95% confidence interval, 1.0-1.02). Compliance with hand-cleansing for patients already admitted to the postanesthesia care unit was 12.5%. CONCLUSIONS: Failure to cleanse hands during patient care is common in the postanesthesia care unit and is associated with identifiable factors. The close relation between the intensity of patient care and noncompliance argues that hand-cleansing should not be viewed as a problematic individual behavior only, and system change must be considered in prevention strategies. (+info)
Demand and availability of Intensive Care beds. A study based on the data collected at the SUEM 118 Central of Padua from October 1996 to December 2001.
(8/44)
AIM: This study aims to evaluate the management of intensive care beds according to the demands received by the SUEM 118 of Padua. It has been carried out by examining the reports drawn up by SUEM physicians from October 1996 to December 2001. The study rated the number of patients for whom an admission to the Intensive Care Unit (ICU) was required, according to the specific clinical situation at the moment of the request. A secondary objective was to evaluate if the critically ill patients had been admitted and treated in the most appropriate medical facility. METHODS: The research is based on 7 087 reports concerning a population of adult and pediatric patients for whom an ICU bed was required in the period previously mentioned. For each report, it analyses the following data (keeping them anonymous): date of demand, main pathology and severity of clinical condition, sex and age, provenence and destination. RESULTS: Even though the number of annual demands for an ICU bed made to SUEM Central 118 has remained unchanged (approximately 1 350 per year), the number of beds made available in the operating rooms of the Hospital of Padua markedly increased. What has been experienced so far, and the data collected in this study has revealed, was that the requests for an intensive treatment for the overall population (hospitalized and non hospitalized) increased disproportionally in relation to the availability of ICU beds. In fact, the total number of hospitalizations in the different ICUs rose steadily year by year (from 3 495 in 1996 to 4 640 in 2001). CONCLUSION: The Hospital of Padua is a landmark center for patients who need specialized treatment. It is therefore important to increase the assistance and safety standards of its ICUs. In recent years there has been a great need for specialized ICUs either for more aggressive procedures (neurosurgical, cardiosurgical, respiratory, cardiologic, etc.) or for the increased use of adequate and invasive treatment for advanced diseases. The available resources of ICU beds should be more rationally distributed between the peripheral and the Regional Hospitals, since the activation of an ICU bed in the operating theatre is a valid, transient option. (+info)