Mortality rates under the care of junior and senior surgery residents in a surgical intensive care unit/neurologic intensive care unit: A 5-year retrospective cohort study at Taoyuan Armed Forces General Hospital

Background

The quality and outcome of health care administered in intensive care units (ICUs) of teaching hospitals are dependent on a myriad of factors; however, few studies have assessed mortality rates and length of stay in surgical intensive care and neurologic intensive care units (SICU/NICU) in relation to the experience of junior and senior surgery residents.

Objective

The aim of this study was to determine whether there were differences in the outcomes of ICU patients cared for by junior surgery residents or senior surgery residents by assessing mortality rates and length of stay in the SICU/NICU.

Design

This was a retrospective cohort analysis. Mortality rates, length of SICU/NICU stay, and baseline characteristics were assessed in 2 patient groups: group 1, patients managed by junior surgical residents; group 2, patients managed by senior surgical residents. Categorical variables were compared by χ²/Fisher exact test, and continuous data (age and ICU stay) were compared using the Mann-Whitney U test. Acute Physiology and Chronic Health Evaluation II score was used for ICU prognostic models.

Setting

The Taoyuan Armed Forces General Hospital (Taoyuan, Taiwan, ROC) consists of an 8-bed SICU and an 8-bed NICU.

Patients

Data were collected from 2274 patients from January 1, 2002, to December 31, 2006, from the intensive care units (SICU/NICU) of the department of surgery.

Interventions

None.

Results

Significant differences between the 2 groups were found in total patient mortality and the duration of intensive care unit stay. Of 1806 patients in group 1, 446 (24.7%) died, whereas 83 (17.7%) of 468 in group 2 died (P = .002). The major difference of mortality rate was in the division of neurology surgery; 291 (26.6%) of 1092 patients in group 1 died, whereas 55 (19.2%) of 287 in group 2 died (P = .009), with most deaths due to spontaneous intracranial hemorrhage (P = .012) and central nervous system tumors (P = .048). Median length of SICU/NICU stay for group 1 was 3.0 days vs 3.5 days for group 2 (P = .003).

Conclusions

The quality of care of critically ill patients is improved when more experienced residents are providing care. We suggest that residents rotated into the special units such as SICU/NICU for care of critically ill patients should be at least at third year of training.     

Risk factors for prolonged stay in cardiac surgery intensive care units

Aims and objectives: To identify the factors that might affect the length of stay in the intensive care unit (ICU‐LOS) among cardiac surgery patients. Background: ICU‐LOS forms an important factor for assessing the effectiveness of the provided nursing care. A number of factors can be accused for increasing patient hospitalization. The nursing workload (NWL), among others, was found to play a significant role as it is closely associated with the quality of care. Design: An observational cohort study among 313 consecutive patients who were admitted to the cardiac surgery intensive care unit of a general, tertiary hospital of Athens, Greece from November 2008 to November 2009. Methods: Data collection was performed by using a short questionnaire (for basic demographic information) and two instruments, the Nursing Activities Score (NAS) and the logistic EuroSCORE, for assessing the NWL and the perioperative risk for each patient respectively. Results: ICU‐LOS of more than 2 days increased with age and was more common among females (p < 0·001 and p = 0·02, respectively). Multivariate logistic regression analysis revealed a positive association between increased perioperative risk and the increased ICU‐LOS [odd ratio (OR) 1·9, 95% confidence interval (CI) 1·0–3·5, p = 0·04], while patients with a first day NAS of more than 61·6% had an almost 5·2 times greater probability to stay in the cardiac surgery unit for more than 2 days (OR 5·2, 95% CI 3·0–8·8, p < 0·001). Conclusions: Increased level of NWL and patient perioperative risk are closely associated with increased ICU‐LOS. Relevance to clinical practice: The correlation between patient perioperative risk and ICU‐LOS encourages the early identification of high‐risk patients for prolonged hospitalization. Furthermore, the relationship between NWL and ICU‐LOS allows the early identification of these patients with the use of an independent nursing tool.     

The characterisation of workloads and nursing staff allocation in intensive care units: A descriptive study using the Nursing Activities Score for the first time in Norway

Objective

This study compares the Nine Equivalents of Nursing Manpower Use Score (NEMS) to the Nursing Activities Score (NAS) in terms of characterising the nursing workload by examining and calculating the per-nurse NAS% over a 24-h period.

Method

The sample consisted of 235 patients from four volunteered for the study multidisciplinary ICUs in Norway. The daily NEMS, NAS and number of nurses who were involved in patient care per ICU were measured over one month from 2008 to 2009.

Results

The average length of stay for the included patients was 5 days, and the mean patient age was 52.8 years. The mean NEMS was 32.7 points (S.D., 8.98 points), and the mean NAS was 96.24% (S.D., 22.35%). Several nurses exhibited mean NEMS points that ranged from 16 to 39.7 per ICU per day. The correlation between the NEMS and NAS could only be separately determined for each ICU. The correlation was r = 0.16–0.40 [significant at the 0.01 level (2-tailed)] per unit. Depending on which unit was investigated, each nurse was observed to perform of capacity with a NAS as high as 75–90%.

Conclusion

The study suggests that the actual numbers of nurses might explain the calculated NAS of 75–90% per nurse.     

Toward less sedation in the intensive care unit: a prospective observational study

Purpose

Excessive sedation is associated with prolonged mechanical ventilation and longer intensive care unit (ICU) and hospital stays. We evaluated the feasibility of using minimal sedation in the ICU.

Methods

Prospective observational study in a university hospital 34-bed medico-surgical department of intensive care. All adult patients who stayed in the ICU for more than 12 hours over a 2-month period were included. Intensive care unit admission diagnoses, severity scores, use of sedatives and/or opiates, duration of mechanical ventilation, length of ICU stay, and 28-day mortality were recorded for each patient.

Results

Of the 335 patients (median age, 61 years) admitted during the study period, 142 (42%) received some sedation, most commonly with midazolam and propofol. Sedative agents were administered predominantly for short periods of time (only 10% of patients received sedation for >24 hours). One hundred fifty-five patients (46%) received mechanical ventilation, generating 15?240 hours of mechanical ventilation, of these, only 2993 (20%) hours were accompanied by a continuous sedative infusion. Self-extubation occurred in 6 patients, but only 1 needed reintubation.

Conclusions

In a mixed medical-surgical ICU, minimal use of continuous sedation seems feasible without apparent adverse effects.     

Association between nursing cost and patient outcomes in intensive care units: A retrospective cohort study of Belgian hospitals

IntroductionHospitals with better nursing resources report more favourable patient outcomes with almost no difference in cost as compared to those with worse nursing resources. The aim of this study was to assess the association between nursing cost per intensive care unit bed and patient outcomes (mortality, readmission, and length of stay).MethodologyThis was a retrospective cohort study using data collected from the intensive care units of 17 Belgian hospitals from January 01 to December 31, 2018. Hospitals were dichotomized using median annual nursing cost per bed. A total of 18,235 intensive care unit stays were included in the study with 5,664 stays in the low-cost nursing group and 12,571 in the high-cost nursing group.ResultsThe rate of high length of stay outliers in the intensive care unit was significantly lower in the high-cost nursing group (9.2% vs 14.4%) compared to the low-cost nursing group. Intensive care unit readmission was not significantly different in the two groups. Mortality was lower in the high-cost nursing group for intensive care unit (9.9% vs 11.3%) and hospital (13.1% vs 14.6%) mortality. The nursing cost per intensive care bed was different in the two groups, with a median [IQR] cost of 159,387€ [140,307–166,690] for the low-cost nursing group and 214,032€ [198,094–230,058] for the high-cost group.In multivariate analysis, intensive care unit mortality (OR = 0.80, 95% CI: 0.69–0.92, p < 0.0001), in-hospital mortality (OR = 0.82, 95% CI: 0.72–0.93, p < 0.0001), and high length of stay outliers (OR = 0.48, 95% CI: 0.42–0.55, p < 0.0001) were lower in the high-cost nursing group. However, there was no significant effect on intensive care readmission between the two groups (OR = 1.24, 95% CI: 0.97–1.51, p > 0.05).ConclusionsThis study found that higher-cost nursing per bed was associated with significantly lower intensive care unit and in-hospital mortality rates, as well as fewer high length of stay outliers, but had no significant effect on readmission to the intensive care unit..     

Frailty is not independently associated with intensive care unit length of stay: An observational study

BackgroundFrailty is independently associated with morbidity and mortality in critically ill patients. However, the association between preadmission frailty and the degree of treatment received in the intensive care unit (ICU) remains unclear.ObjectiveTo describe patient length of stay in an ICU and the treatments provided according to the extent of patient frailty.MethodsSingle-centre retrospective cohort study of adult patients admitted to a tertiary ICU between January 2018 and December 2019. Frailty was assessed using the Clinical Frailty Scale (CFS). The primary outcome was ICU length of stay stratified by CFS score (1–8). Secondary outcomes were the proportion of patients with each CFS score treated with vasoactive agents, invasive ventilation, noninvasive ventilation, renal replacement therapy, and tracheostomy. Poisson regression and competing risks regression was used to analyse associations between ICU length of stay and potential confounders.ResultsThe study cohort comprised 2743 patients, with CFS scores known for 2272 (83%). Length of stay in the ICU increased with each increment in the CFS up to a score of 5, beyond which it decreased with higher frailty scores. After adjusting for age, illness severity, admission type, and treatment limitation, CFS scores were not independently associated with length of stay in the ICU (P = 0.31). The proportion of patients receiving specific ICU treatments peaked at different CFS scores, being highest for vasoactive agents at CFS 5 (47%), invasive ventilation CFS 3 (51%), noninvasive ventilation CFS 6 (11%), renal replacement therapy CFS 6 (8.2%), and tracheostomy CFS 5 (2.2%). Increasing frailty was associated with increased mortality and discharge to a destination other than home.ConclusionsThe extent of frailty is not independently associated with length of stay in the ICU. The proportion of patients receiving specific ICU treatments peaked at different CFS scores.     

Length of stay and mortality due to Clostridium difficile infection acquired in the intensive care unit

Purpose

The purpose of this study was to determine the attributable intensive care unit (ICU) and hospital length of stay and mortality of ICU-acquired Clostridium difficile infection (CDI).

Materials and methods

In this retrospective cohort study of 3 tertiary and 3 community ICUs, we screened all patients admitted between April 2006 and December 2011 for ICU-acquired CDI. Using both complete and matched cohort designs and Cox proportional hazards analysis, we determined the association between CDI and ICU and hospital length of stay and mortality. Adjustment or matching variables were site, age, sex, severity of illness, and year of admission; any infection as an ICU admitting or acquired diagnosis before the diagnosis of CDI and diagnosis of CDI were time-dependent exposures.

Results

Of 15 314 patients admitted to the ICUs during the study period, 236 developed CDI in the ICU. In the complete cohort analysis, the hazard ratios (95% confidence interval) for CDI related to ICU and hospital discharge were 0.82 (0.72, 0.94) and 0.83 (0.73, 0.95), respectively (0.5 additional ICU days and 3.4 hospital days), and related to death in ICU and hospital, they were 1.00 (0.73, 1.38) and 1.19 (0.93, 1.52), respectively. In the matched analysis, the hazard ratios for CDI related to ICU and hospital discharge were 0.91 (0.81, 1.03) and 0.98 (0.85, 1.13), respectively, and related to death in ICU and hospital, they were 1.18 (0.85, 1.63) and 1.08 (0.82, 1.43), respectively.

Conclusions

C difficile infection acquired in ICU is associated with an increase in length of ICU and hospital stay but not with any difference in ICU or hospital mortality.     

Preadmission quality of life can predict mortality in intensive care unit—A prospective cohort study

Purpose

We sought to investigate whether preadmission quality of life could act as a predictor of mortality among patients admitted to the intensive care unit (ICU).

Materials and methods

This is a prospective observational study of all patients above the age of 18 years admitted to the ICU with a length of stay longer than 24 hours. Short form 36 (SF-36) and Acute Physiology and Chronic Health Evaluation II (APACHE II) were used. Mortality was assessed during ICU admission, 30, and 90 days hereafter.

Results

We included 318 patients. No patients were lost to follow-up. Using the physical component summary of short form 12 (SF-12) as a predictor of ICU mortality, the area under the curve (0.70; confidence interval, 0.62-0.77) was comparable with that of APACHE II (0.74; confidence interval, 0.67-0.82). The difference between SF-12 and SF-36 was nonsignificant.

Conclusions

Preadmission quality of life, assessed by SF-36 and SF-12, is as good at predicting ICU, 30-, and 90-day mortality as APACHE II in patients admitted to the ICU for longer than 24 hours. This indicates that estimated preadmission quality of life, potentially available in the pre-ICU setting, could aid decision making regarding ICU admission and deserves more attention by those caring for critically ill patients.     

After-hours admissions are not associated with increased risk-adjusted mortality in pediatric intensive care

Objective To examine the influence of time of admission on risk-adjusted mortality and length of stay for nonelective patients admitted to a pediatric intensive care unit (ICU) without 24-h per day in-house intensivist coverage. Design Data analyzed came from a comprehensive, prospectively collected ICU database. Setting A 12-bed pediatric ICU located in a university-affiliated tertiary referral children's hospital. Patients Subjects consisted of 4,456 consecutive nonelective patients admitted over a 10-year period (1997–2006). Interventions None. Measurements and results Patients were categorized according to time of admission to the ICU as either in-hours (0800–1800 Monday–Friday and 0800–1200 on weekends), when an intensivist is present in the ICU, or after-hours (all other times), when intensivists attend only on an as-needed basis. Multivariate logistic regression was used to assess the effect of time of admission on outcome after adjustment for severity of illness using the Paediatric Index of Mortality (PIM). Patients admitted after hours had a lower risk-adjusted mortality than those admitted during normal working hours, with an odds ratio for death of 0.712 (95% confidence interval 0.518–0.980, p = 0.037). Length of stay was also significantly shorter for patients admitted after hours (44.05 h vs. 50.0 h, p = 0.001). Conclusions A lack of in-house intensivist presence is not associated with any increase in mortality or length of stay for patients admitted to our pediatric ICU; on the contrary, after-hours admission in this cohort was associated with a decreased risk-adjusted mortality and a shorter length of stay.     

体外循环术后患者重症监护工作量的调查分析

目的调查患者体外循环术后各天、各班次平均重症监护所需的直接和间接护理时数,以合理配置护理患者所需的人力资源.方法随机抽取重症监护室体外循环术后患者58例,记录患者术后各天、各班次所需直接及间接护理时数并进行统计学分析.结果体外循环术后患者各天重症监护所需直接、间接、总护理时间随着术后天数的增加减少;各班平均每小时护理时间比较,日班与前夜班、日班与后夜班之间直接、间接、总护理时间差异均有统计学意义(P＜0.05).结论体外循环术后患者各天及各班次所需的护理时间不同,护理管理者应根据患者术后的情况采取弹性排班.     

Predicting mortality in intensive care unit patients infected with Klebsiella pneumoniae: A retrospective cohort study

IntroductionAlthough several models to predict intensive care unit (ICU) mortality are available, their performance decreases in certain subpopulations because specific factors are not included. Moreover, these models often involve complex techniques and are not applicable in low-resource settings. We developed a prediction model and simplified risk score to predict 14-day mortality in ICU patients infected with Klebsiella pneumoniae.MethodologyA retrospective cohort study was conducted using data of ICU patients infected with Klebsiella pneumoniae at the largest tertiary hospital in Northern Vietnam during 2016–2018. Logistic regression was used to develop our prediction model. Model performance was assessed by calibration (area under the receiver operating characteristic curve-AUC) and discrimination (Hosmer-Lemeshow goodness-of-fit test). A simplified risk score was also constructed.ResultsTwo hundred forty-nine patients were included, with an overall 14-day mortality of 28.9%. The final prediction model comprised six predictors: age, referral route, SOFA score, central venous catheter, intracerebral haemorrhage surgery and absence of adjunctive therapy. The model showed high predictive accuracy (AUC = 0.83; p-value Hosmer-Lemeshow test = 0.92). The risk score has a range of 0–12 corresponding to mortality risk 0–100%, which produced similar predictive performance as the original model.ConclusionsThe developed prediction model and risk score provide an objective quantitative estimation of individual 14-day mortality in ICU patients infected with Klebsiella pneumoniae. The tool is highly applicable in practice to help facilitate patient stratification and management, evaluation of further interventions and allocation of resources and care, especially in low-resource settings where electronic systems to support complex models are missing.     

Emergency physician-based intensive care unit for critically ill patients visiting emergency department

BackgroundTo provide a prompt and optimal intensive care to critically ill patients visiting our emergency department (ED), we set up and ran a specific type of emergency intensive care unit (EICU) managed by emergency physician (EP) intensivists. We investigated whether this EICU reduced the time interval from ED arrival to ICU transfer (ED-ICU interval) without altering mortality.MethodsThis was a retrospective study conducted in a tertiary referral hospital. We collected data from ED patients who were admitted to the EICU (EICU group) and other ICUs including medical, surgical, and cardiopulmonary ICUs (other ICUs group), from August 2014 to July 2017. We compared these two groups with respect to demographic findings, including the Acute Physiology and Chronic Health Evaluation II (APACHE II) score, ED-ICU interval, ICU mortality, and hospital mortality.ResultsAmong the 3440 critically ill patients who visited ED, 1815 (52.8%) were admitted to the EICU during the study period. The ED-ICU interval for the EICU group was significantly shorter than that for the other ICUs group by 27.5% (5.0 ± 4.9 vs. 6.9 ± 5.4 h, p < 0.001). In multivariable analysis, the ICU mortality (odds ratio = 1.062, 95% confidence interval 0.862–1.308, p = 0.571) and hospital mortality (odds ratio = 1.093, 95% confidence interval 0.892–1.338, p = 0.391) of the EICU group were not inferior to those of the other ICUs group.ConclusionsThe EICU run by EP intensivists reduced the time interval from ED arrival to ICU transfer without altering hospital mortality.     

Risk factors for prolonged intensive care unit stays in patients after cardiac surgery with cardiopulmonary bypass: A retrospective observational study

ObjectivesPatients after cardiac surgery with cardiopulmonary bypass (CPB) require a stay in the ICU postoperatively. This study aimed to investigate the incidence of prolonged length of stay (LOS) in the ICU after cardiac surgery with CPB and identify associated risk factors.MethodsThe current investigation was an observational, retrospective study that included 395 ICU patients who underwent cardiac surgery with CPB at a tertiary hospital in Guangzhou from June 2015 to June 2017. Data were obtained from the hospital database. Binary logistic regression modeling was used to analyze risk factors for prolonged ICU LOS.ResultsOf 395 patients, 137 (34.7%) had a prolonged ICU LOS (>72.0 h), and the median ICU LOS was 50.9 h. Several variables were found associated with prolonged ICU LOS: duration of CPB, prolonged mechanical ventilation and non-invasive assisted ventilation use, PaO₂/FiO₂ ratios within 6 h after surgery, type of surgery, red blood cell infusion during surgery, postoperative atrial arrhythmia, postoperative ventricular arrhythmia (all P < 0.05).ConclusionsThese findings are clinically relevant for identifying patients with an estimated prolonged ICU LOS, enabling clinicians to facilitate earlier intervention to reduce the risk and prevent resulting delayed recovery.     

The incidence and characteristics of ventilator-associated pneumonia in a regional nontertiary Australian intensive care unit: A retrospective clinical audit study

BackgroundVentilator-associated pneumonia (VAP) is a common complication of mechanical ventilation in the intensive care unit. The incidence, patient characteristics, and outcomes have not been described in a regional Australian setting.ObjectivesΤhe primary objective was to establish the incidence of VAP in a regional intensive care unit using predetermined diagnostic criteria. The secondary objective was to compare the agreement between criteria-based and physician-based diagnostic processes. The tertiary objectives were to compare patient characteristics and clinical outcomes of cases with and without VAP.MethodsA retrospective clinical audit was performed of adult patients admitted to Rockhampton Intensive Care Unit, Australia, between 2013 and 2016. We included all patients ventilated for ≥72 h and not diagnosed with a pneumonia before or during the first 72 h of ventilation.ResultsA total of 170 cases met the inclusion criteria. The incidence of VAP as per the criteria-based diagnosis was 27.3 cases per 1000 ventilator days (95% confidence interval [CI]: 18.4–36.2) and as per the physician-based diagnosis was 25.8 cases per 1000 ventilator days (95% CI: 17.1–34.4). There was a moderate chance-corrected agreement between the criteria- and physician-based diagnosis. Very obese cases (body mass index [BMI] ≥40) were nearly four times more likely to develop VAP than cases with normal BMI (BMI <30) (odds ratio: 3.664; 95% CI: 1.394–9.634; p = 0.008). After controlling for sex, BMI category, comorbidities, and Acute Physiology and Chronic Health Evaluation II scores, there was a trend (p = 0.283) for higher adjusted mortality rate for cases with VAP (10.1%, 95% CI: 4.8–21.5) than for those without VAP (6.1%, 95% CI: 3.0–12.4). Cases with VAP had a higher total hospital cost ($123,223 AUD vs $66,425 AUD, p < 0.001), than cases without VAP.ConclusionsThis is the first study reporting incidence of VAP in an Australian regional intensive care unit setting. An increased length of stay and significantly higher hospital costs warrant research investigating reliable and valid clinical prediction rules to forecast those at risk of VAP.     

The impact of the addition of nurse practitioners to surgical intensive care units: A retrospective cohort study

BackgroundDemand for surgical critical care is increasing, but work-hour restrictions on residents have affected many hospitals. Recently, the use of nurse practitioners (NPs) as providers in the intensive care unit (ICU) has expanded rapidly, although the impacts on quality of care have not been evaluated.ObjectivesTo compare the outcomes of critically ill surgical patients before and after the addition of NPs to the ICU team.MethodsWe conducted a retrospective cohort study in a Taiwanese surgical ICU. We compared the outcomes of patients admitted to ICU during the 2-year period before and after the addition of NPs to the ICU team. Patients admitted in the 1-year transition phase were excluded from comparisons. The primary endpoint was ICU mortality. Secondary endpoints included ICU length of stay and incidence of unplanned extubation.ResultsA total of 8747 patients were included in the study. For all eligible admissions, primary and secondary outcomes did not differ significantly between the two groups. For scheduled ICU admissions, ICU mortality was significantly lower after the addition of NPs (2.2% before vs. 1.1% after addition of NPs, p = 0.014). For unscheduled ICU admissions, ICU mortality did not differ significantly between the two groups. In the multivariate analysis, admission after the addition of NPs was associated with significantly reduced ICU mortality (odds ratio = 0.481; 95% confidence interval = 0.263–0.865; p = 0.015) among scheduled admissions.ConclusionIncorporating NPs in the ICU team was associated with improved outcomes in scheduled admissions to surgical ICU when compared with a traditional, resident-based team.     

Evaluation of nurses’ workload in intensive care unit of a tertiary care university hospital in relation to the patients’ severity of illness: A prospective study

BackgroundsCosts of intensive care reach up to 30% of the hospital budget with workforce expenses being substantial. Determining proper nurse—patient ratio is necessary for optimizing patients’ health related outcomes and hospitals’ cost effective functioning.ObjectivesTo evaluate nurses’ workload using Nine Equivalents of Nursing Manpower Use Score and Nursing Activities Score scoring systems while assessing correlation between both scores and the severity of illness measured by Simplified Acute Physiology Score II.DesignA Prospective studySettingsCardiac Surgery Intensive Care Unit of the Clinical Hospital Centre Rijeka, Croatia, from October 2014 to February 2015. This Intensive Care Unit has 3 beds that can be expanded upon need.ParticipantsThe study included 99 patients treated at this Unit during the study’s period. The scores were obtained by 6 nurses, working in 12 h shifts.MethodsMeasurements were obtained for each patient 24 h after admission and subsequently twice a day, at the end of the day shift (7 pm) and at the end of the night shift (7 am). The necessary data were obtained from the patient’s medical records.ResultsNursing Activities Score showed significantly higher number of nurses are required for one 12 h shift (Z = 3.76, p < 0.001). Higher scores were obtained on day shifts vs. night shifts. (Nursing Manpower Use Score, z = 3.25, p < 0.001; Nursing Activities Score, z = 4.16, p < 0.001). When comparing Nursing Activities Score and Nursing Manpower Use Score during the week, we calculated higher required number of nurses on weekdays than on weekends and holidays, (Nursing Manpower Use Score, p < 0.001; Nursing Activities Score, p < 0.001). Correlation analysis of Nursing Activities Score and Nursing Manpower Use Score with Simplified Acute Physiology Score II has shown that Nursing Manpower Use Score positively associated with severity of disease, while Nursing Activities Score shows no association.ConclusionBoth scores can be used to estimate required number of nurses in 12-h shifts, although Nursing Activities Score seems more suitable for units with prolonged length of stay, while Nursing Manpower Use Score appears better for units with shorter duration of stay (up to four days). Higher workload measured by Nursing Manpower Use Score scale can be predicted with higher Simplified Acute Physiology Score II. However, with low Simplified Acute Physiology Score II scores it cannot be assumed that the nursing workload will also be low. Further research is needed to determine the best tool to asses nursing workload in intensive care units.     

重症监护病房内上消化道出血的临床分析

目的探讨重症监护患者上消化道出血的主要因素,以及并发上消化道出血与病死率的关系。方法回顾分析重症监护病房(ICU)并发上消化道出血(急性非静脉曲张性上消化道出血)急危重病患者252例,按发病后上消化道出血发生时间与病死率的关系进行比较分析,并根据治疗超过3 d后继发感染和上消化道出血与病死率的关系进行比较分析。结果发生上消化道出血的主要疾病为脑血管意外和重度颅脑损伤;上消化道出血出现时间愈早(分别为<1 d、1~3 d、>3 d)死亡率愈高(P<0.05);治疗超过3 d后出现继发感染者上消化道出血发生率增加(P<0.05),其中呼吸机相关性肺炎35例,占83.33%,且继发感染伴上消化道出血患者病死率增加(P<0.05)。结论ICU患者出现上消化道出血提示预后不良;及时发现上消化道出血,防治感染尤其是呼吸机相关性肺炎等对ICU患者预后有重要意义。