Routine postoperative intensive care unit admission after colorectal cancer surgery for the elderly patient reduces postoperative morbidity and mortality

Construction and validation of a risk prediction model for postoperative ICU admission in patients with colorectal cancer: clinical prediction model study

BACKGROUND

Transfer to the ICU is common following non-cardiac surgeries, including radical colorectal cancer (CRC) resection. Understanding the judicious utilization of costly ICU medical resources and supportive postoperative care is crucial. This study aimed to construct and validate a nomogram for predicting the need for mandatory ICU admission immediately following radical CRC resection.

METHODS

Retrospective analysis was conducted on data from 1003 patients who underwent radical or palliative surgery for CRC at Ningxia Medical University General Hospital from August 2020 to April 2022. Patients were randomly assigned to training and validation cohorts in a 7:3 ratio. Independent predictors were identified using the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression in the training cohort to construct the nomogram. An online prediction tool was developed for clinical use. The nomogram's calibration and discriminative performance were assessed in both cohorts, and its clinical utility was evaluated through decision curve analysis (DCA).

RESULTS

The final predictive model comprised age (P = 0.003, odds ratio [OR] 3.623, 95% confidence interval [CI] 1.535-8.551); nutritional risk screening 2002 (NRS2002) (P = 0.000, OR 6.129, 95% CI 2.920-12.863); serum albumin (ALB) (P = 0.013, OR 0.921, 95% CI 0.863-0.982); atrial fibrillation (P = 0.000, OR 20.017, 95% CI 4.191-95.609); chronic obstructive pulmonary disease (COPD) (P = 0.009, OR 8.151, 95% CI 1.674-39.676); forced expiratory volume in 1 s / Forced vital capacity (FEV1/FVC) (P = 0.040, OR 0.966, 95% CI 0.935-0.998); and surgical method (P = 0.024, OR 0.425, 95% CI 0.202-0.891). The area under the curve was 0.865, and the consistency index was 0.367. The Hosmer-Lemeshow test indicated excellent model fit (P = 0.367). The calibration curve closely approximated the ideal diagonal line. DCA showed a significant net benefit of the predictive model for postoperative ICU admission.

CONCLUSION

Predictors of ICU admission following radical CRC resection include age, preoperative serum albumin level, nutritional risk screening, atrial fibrillation, COPD, FEV1/FVC, and surgical route. The predictive nomogram and online tool support clinical decision-making for postoperative ICU admission in patients undergoing radical CRC surgery.

TRIAL REGISTRATION

Despite the retrospective nature of this study, we have proactively registered it with the Chinese Clinical Trial Registry. The registration number is ChiCTR2200062210, and the date of registration is 29/07/2022.

Clinical significance of serum lactate and lactate dehydrogenase levels for disease severity and clinical outcomes in patients with colorectal cancer admitted to the intensive care unit

Objective

Serum lactate (LA) and lactate dehydrogenase (LDH) levels have a major impact on the clinical treatment of malignant tumors and critically ill patients. Nevertheless, the assessment of disease severity in oncology patients admitted to the intensive care unit (ICU) remains incomplete when considering the serum LA and LDH levels. This study aimed to investigate the significance of serum LDH and LA levels in assessing disease severity and predicting clinical outcomes in patients with colorectal cancer (CRC) admitted to the ICU.

Methods

This retrospective study included patients with CRC who were admitted to the ICU between January 2017 and December 2022. The patients were divided into three groups based on the tumor treatment methods they had received within 3 months before ICU admission: post-chemotherapy group, post-surgery group, and palliative treatment group. The association between serum LA and LDH levels and disease severity and clinical outcomes was analyzed.

Results

Of 137 patients with CRC admitted to the ICU were finally studied. Patients in the post-chemotherapy group exhibited higher serum LA and LDH levels compared to those in the other two groups. Additionally, they had higher Acute Physiology and Chronic Health Evaluation (APACHE) II scores, longer ICU length of stay, and a higher 30-day mortality. We found a significant positive correlation between serum LA levels and APACHE II scores as well as ICU length of stay and 30-day mortality. In contrast, we only observed a significant positive correlation between serum LDH levels and disease severity in the post-chemotherapy group, whereas no significant correlation between LDH levels and 30-day mortality in any of the three groups.

Conclusion

Our study concludes that elevated serum LA levels, rather than LDH levels, are more effective in assessing disease severity and could be used as predictors for clinical outcomes in patients with CRC admitted to the ICU.

Patient Factors Affecting Inpatient Mortality Following Colorectal Cancer Resection

BACKGROUND

Our objective is to identify factors for inpatient death in patients undergoing resection for colorectal cancer (CRC).

STUDY DESIGN

Unmatched 1:3 case-control study of surgically resected CRC at a tertiary care institution between 2004 and 2018. Variables for multivariate analysis were selected using tetrachoric correlation followed by a least absolute shrinkage and selection operator (LASSO) penalized regression model.

RESULTS

A total of 140 patients were included (N = 35 patients who died inpatient, N = 105 patients who did not die). Patients who died were older, had higher Charlson Comorbidity Index (CCI), higher rates of preoperative anemia, hypoalbuminemia, emergency surgeries, blood transfusion, postoperative vasopressor requirement, anastomotic leak, and postoperative ICU admission than patients who underwent surgical resection without inpatient mortality. Anemia (aOR = 8.62, 1.44-91.58), emergency admission (aOR = 5.71, 1.46-24.36), and ICU admission (aOR 45.51, 8.31-448.4) significantly predicted inpatient mortality when controlled for CCI and hypoalbuminemia.

CONCLUSIONS

Surprisingly, it appears that pre-existing anemia and perioperative factors are more important in predicting inpatient mortality of patients undergoing CRC surgery than baseline comorbidity or nutritional status.

Frailty: the perioperative and anesthesia challenges of an emerging pandemic

Frailty is a complex and multisystem biological process characterized by reductions in physiological reserve. It is an increasingly common phenomena in the surgical population, and significantly impacts postoperative recovery. In this review, we will discuss the pathophysiology of frailty, as well as preoperative, intraoperative, and postoperative considerations for frailty care. We will also discuss the different models of postoperative care, including enhanced recovery pathways, as well as elective critical care admission. With discoveries of new effective interventions, and advances in healthcare information technology, optimized pathways could be developed to provide the best care possible that meets the challenges of perioperative frailty.

Effect of sarcopenia on postoperative ICU admission and length of stay after hepatic resection for Klatskin tumor

Background

Hepatic resection of Klatskin tumors usually requires postoperative intensive care unit (ICU) admission because of its high morbidity and mortality. Identifying surgical patients who will benefit most from ICU admission is important because of scarce resources but remains difficult. Sarcopenia is characterised by the loss of skeletal muscle mass and is associated with poor surgical outcomes.

Methods

We retrospectively analysed th.e relationship between preoperative sarcopenia and postoperative ICU admission and length of ICU stay (LOS-I) in patients who underwent hepatic resection for Klatskin tumors. Using preoperative computed tomography scans, the cross-sectional area of the psoas muscle at the level of the third lumbar vertebra was measured and normalised to the patient’s height. Using these values, the optimal cut-off for diagnosing sarcopenia was determined using receiver operating characteristic curve analysis for each sex.

Results

Of 330 patients, 150 (45.5%) were diagnosed with sarcopenia. Patients with preoperative sarcopenia presented significantly more frequently to the ICU (77.3% vs. 47.9%, p < 0.001) and had longer total LOS-I (2.45 vs 0.89 days, p < 0.001). Moreover, patients with sarcopenia showed a significantly higher postoperative length of hospital stay, severe complication rate, and in-hospital mortality.

Conclusions

Sarcopenia correlated with poor postoperative outcomes, especially with the increased requirement of postoperative ICU admission and prolonged LOS-I after hepatic resection in patients with Klatskin tumors.

Risk factors for ninety-day readmission following cervical surgery: a meta-analysis

Background

As an important evaluation index after cervical surgery, ninety-day readmission is gradually being valued. Our study collected the latest published relevant studies, analyzed the risk factors of ninety-day readmission after cervical surgery, and continuously improved the postoperative rehabilitation plan. This study focuses on two research hotspots: (1) What is the rate of ninety-day readmission after cervical surgery? (2) What are the risk factors affecting the ninety-day readmission?

Methods

Based on the Cochrane Library, PubMed, Web of Science, and Embase databases, this study searched for studies about ninety-day readmission after cervical surgery, from the establishment of the database to August 1, 2022. The evaluation indicators are as follows: age, American Society of Anesthesiology physical status (ASA) class, diabetes, hypertension, chronic heart diseases, chronic lung diseases, income, and payments for hospitalization. The meta-analysis was performed using Review Manager 5.4.

Results

Seven studies with 222,490 participants were eligible for our meta-analysis. The analysis displayed that there were statistically significant differences in the age (MD = − 4.60, 95%CI − 4.89–4.31, p < 0.001), diabetes (OR = 0.60, 95%CI 0.56–0.64, p < 0.00001), hypertension (OR = 0.40, 95%CI 0.30–0.54, p < 0.00001), chronic heart diseases (OR = 0.05, 95%CI 0.01–0.19, p < 0.00001), chronic lung diseases (OR = 0.46, 95%CI 0.43–0.49, p < 0.00001), income (OR = 2.85, 95%CI 1.82–4.46, p < 0.00001), and payments for hospitalization (OR = 2.29, 95%CI 1.14–4.59, p = 0.02) between readmission and no readmission groups. In terms of the ASA, there was no difference on the ninety-day readmission (p = 0.78).

Conclusion

Age, diabetes, hypertension, chronic heart diseases, chronic lung diseases, income, and payments for hospitalization are the risk factors of ninety‐day readmission following cervical surgery.

Verbreitung von Fast-Track-Konzepten in Deutschland

Hintergrund

Fast-Track-Konzepte haben die perioperative Betreuung von Patienten in den letzten 30 Jahren grundlegend verändert. Evidenz für diese Konzepte ist ausreichend vorhanden.

Ziel der Arbeit

Ziel dieses Artikels war es, die Verbreitung von Fast-Track-Konzepten in Deutschland anhand von Routinedaten zu evaluieren.

Material und Methoden

Es wurde eine retrospektive Analyse aller kolorektalen Resektionen der Helios-Kliniken der Jahre 2016 bis 2021 durchgeführt. Diese wurden bezüglich Krankenhausverweildauer, Intensivbelegung, Beatmungsanteil, Mortalität, Komplikationsrate und Zugangsweg analysiert.

Ergebnisse und Diskussion

Eine intensivmedizinische Belegung nach kolorektalen Resektionen ist in Deutschland weiterhin die Regel. Insbesondere bei onkologischen kolorektalen Resektionen werden nach wie vor zwei Drittel der Patienten perioperativ intensivmedizinisch betreut. Die stationäre Liegedauer bei kolorektalen Resektionen ist im internationalen Vergleich weiter überdurchschnittlich lang und auch über die letzten Jahre nur langsam rückläufig (z. B. Kolonkarzinom 2016: 18,6 ± 11,9 Tage/2021: 13,8 ± 9,3). Der Anteil offen-chirurgischer kolorektaler Eingriffe ist rückläufig, macht aber auch 30 Jahre nach Einführung der Laparoskopie einen relevanten Anteil aus (z. B. Kolonkarzinom 2016: 71,10 %/2021: 56,44 %). Die Versorgung von Patienten mit kolorektalen Resektionen scheint demnach weiterhin nicht nach Fast-Track-Prinzipen umgesetzt zu sein.

The Effect of Environmental Stressors on Patient Experience in Medical, Surgical, and COVID-19 Intensive Care Unit

This study was conducted to evaluate the effects of environmental stressors on patients’ intensive care experiences in medical, surgical, and COVID-19 intensive care units (ICUs). The sample group consisted of 231 patients hospitalized in medical and surgical ICUs and agreed to participate in the study. The data analysis was performed with IBM SPSS Statistics 25. The average age of the patients was 53.67 ± 13.3, 55.4% were male, 47.6% were high school graduates, and 45.5% were followed up in the COVID-19 ICU. It was also found that there was a negative and moderate degree of correlation between the Intensive Care Experience Scale (ICES) and the Intensive Care Unit Environmental Stressors Scale (ICUESS). Environmental stressors in ICUs are associated with patient experiences. It is clear that ICU stressors create a negative perception in the patient and this situation is emotionally exhausting.

Is Intensive Care Unit Monitoring Necessary After Maxillomandibular Advancement for Management of Obstructive Sleep Apnea?

PURPOSE

Maxillomandibular advancement (MMA) is an accepted treatment modality for obstructive sleep apnea. The purpose of this study was to evaluate the incidence of complications requiring an intensive care unit (ICU) level of care and the necessity of routine overnight ICU airway monitoring after MMA.

PATIENTS AND METHODS

This was a retrospective cohort study of patients undergoing MMA at Massachusetts General Hospital from 2003 to 2020. The primary predictor variable was postoperative admission to the ICU versus post anesthesia care unit (PACU) or ward. The primary outcome variable was grade IV or V complications as scored using the Clavien-Dindo classification system. The secondary outcome variables included postoperative SpO₂ nadir and length of hospital stay. Descriptive and bivariate statistics were computed to measure the association between complications and predictor variables.

RESULTS

The study sample consisted of 104 patients (74.0% male, mean age 37.6 ± 12.1 years), 61 of whom were admitted to the ICU (58.7%). During the initial 24 hours of airway monitoring, the mean SpO₂ nadir was 93.7 ± 2.59% for patients admitted to the ICU compared with 94.0 ± 6.56% for patients admitted to the PACU or ward (P = .862). Patients experienced 2 grade IV complications (1.92%) and no grade V complications, with no statistical association between complications and postoperative admission location (P = 1.000). Age (P = .002) and operative time (P = .046) were the only variables statistically associated with grade IV or V complications. There was no difference in length of hospital stay between patients admitted to the ICU (2.64 ± 1.37 days) versus PACU or ward (2.58 ± 1.62 days).

CONCLUSIONS

The incidence of complications requiring ICU-level care after MMA for obstructive sleep apnea is low. Additional studies are warranted to guide development of feasible, cost-effective perioperative protocols for patients undergoing MMA.

A prognostic model for 1-month mortality in the postoperative intensive care unit

PURPOSES

Recognizing which patients admitted postsurgically to the intensive care unit (ICU) are at greater risk of mortality assists medical staff to identify who will benefit most from the care. We developed a prediction model for the 1-month mortality of postsurgical ICU patients.

METHODS

From May, 2019 to May, 2020, we conducted a prospective cohort study in the postsurgical ICU of a teaching hospital affiliated with our University of Medical Sciences. The outcome was death within 1 month of admission and the predictors were a variety of anthropometric and clinical features. The subjects of this analysis were 805 consecutive adult postsurgical patients with a mean (SD) age of 54.8 (18.9) years.

RESULTS

Overall, the resulted logistic model was well-fitted [χ² (26) = 772.097, p < 0.001, Nagelkerke R² = 0.814] accurate (88%), and specific (92%). The adjusted odds ratio for body temperature was 0.51, p < 0.001. Patients with comorbidities and those undergoing multiple operations were at a greater risk of mortality, odds = 10.00 and 10.65 (both p < 0.001).

CONCLUSIONS

Higher body temperature at the time of postoperative ICU admission is a protective factor against 1-month mortality. Our study found that patients with several comorbidities and those who have undergone multiple operations are at a greater risk of a poor outcome.

Perioperative Outcomes for Centers Routinely Admitting Postoperative Endovascular Aortic Aneurysm Repair to the ICU

BACKGROUND

Intensive care unit (ICU) admission after endovascular aortic aneurysm repair (EVAR) varies across medical centers. We evaluated the association of postoperative ICU use with perioperative and long-term outcomes after EVAR.

STUDY DESIGN

The Vascular Quality Initiative (2003-2019) was queried for index elective EVARs. Included centers were categorized by percentage of patients with EVARs postoperatively admitted to the ICU; routine ICU (rICU) centers as ≥80% ICU admissions and nonroutine ICU (nrICU) centers as ≤20% ICU admissions. Patients admitted preoperatively or with same day discharge were excluded. Perioperative outcomes and survival were compared between rICU and nrICU centers.

RESULTS

Of 45,310 EVARs in the database, 35,617 were performed at rICU or nrICU centers - 5,443 (15.3%) at 71 rICU centers and 30,174 (84.7%) at 200 nrICU centers. Overall, mean age was 73.4 years and 81.6% were male. Postoperative myocardial infarction, pulmonary complications, stroke, leg ischemia, and in-hospital mortality were similar between rICU and nrICU centers (all p > 0.05). Postoperative length of stay (LOS) was prolonged at rICU centers (mean) (2.2 ± 3.6 vs 2 ± 4.2 days, p < 0.001). One-year survival was similar between rICU and nrICU centers, respectively, (94.9% vs 95.4%, p = 0.085). When compared with nrICU centers, rICU centers had similar 1-year mortality risk (hazard ratio [HR] 1.15, 95% CI 0.99-1.34, p = 0.076), but were associated with longer postoperative LOS (means ratio 1.1, 95% CI 1.08-1.13, p < 0.001).

CONCLUSIONS

Routine ICU use after EVAR was associated with prolonged postoperative LOS, without improved perioperative/long-term morbidity or mortality. Updated care pathways to include postoperative admission to lower acuity care units may reduce costs without compromising care.

Surgical Apgar score is strongly associated with postoperative ICU admission

Immediate postoperative intensive care unit (ICU) admission can increase the survival rate in patients undergoing high-risk surgeries. Nevertheless, less than 15% of such patients are immediately admitted to the ICU due to no reliable criteria for admission. The surgical Apgar score (SAS) (0–10) can be used to predict postoperative complications, mortality rates, and ICU admission after high-risk intra-abdominal surgery. Our study was performed to determine the relationship between the SAS and postoperative ICU transfer after all surgeries. All patients undergoing operative anesthesia were retrospectively enrolled. Among 13,139 patients, 68.4% and < 9% of whom had a SASs of 7–10 and 0–4. Patients transferred to the ICU immediately after surgery was 7.8%. Age, sex, American Society of Anesthesiologists (ASA) class, emergency surgery, and the SAS were associated with ICU admission. The odds ratios for ICU admission in patients with SASs of 0–2, 3–4, and 5–6 were 5.2, 2.26, and 1.73, respectively (P < 0.001). In general, a higher ASA classification and a lower SAS were associated with higher rates of postoperative ICU admission after all surgeries. Although the SAS is calculated intraoperatively, it is a powerful tool for clinical decision-making regarding the immediate postoperative ICU transfer.