Predicting primary postoperative pulmonary complications in patients undergoing minimally invasive surgery for colorectal cancer

Innovative integration of lung ultrasound and wearable monitoring for predicting pulmonary complications in colorectal surgery: A prospective study

BACKGROUND

Postoperative pulmonary complications (PPCs) are common in patients who undergo colorectal surgery. Studies have focused on how to accurately diagnose and reduce the incidence of PPCs. Lung ultrasound has been proven to be useful in preoperative monitoring and postoperative care after cardiopulmonary surgery. However, lung ultrasound has not been studied in abdominal surgeries and has not been used with wearable devices to evaluate the influence of postoperative ambulation on the incidence of PPCs.

AIM

To investigate the relationship between lung ultrasound scores, PPCs, and postoperative physical activity levels in patients who underwent colorectal surgery.

METHODS

In this prospective observational study conducted from November 1, 2019 to August 1, 2020, patients who underwent colorectal surgery underwent daily bedside ultrasonography from the day before surgery to postoperative day (POD) 5. Lung ultrasound scores and PPCs were recorded and analyzed to investigate their relationship. Pedometer bracelets measured the daily movement distance for 5 days post-surgery, and the correlation between postoperative activity levels and lung ultrasound scores was examined.

RESULTS

Thirteen cases of PPCs was observed in the cohort of 101 patients. The mean (standard deviation) peak lung ultrasound score was 5.32 (2.52). Patients with a lung ultrasound score of ≥ 6 constituted the high-risk group. High-risk lung ultrasound scores were associated with an increased incidence of PPCs after colorectal surgery (logistic regression coefficient, 1.715; odds ratio, 5.556). Postoperative movement distance was negatively associated with the lung ultrasound scores [Spearman's rank correlation coefficient (r), -0.356, P < 0.05].

CONCLUSION

Lung ultrasound effectively evaluates pulmonary condition post-colorectal surgery. Early ambulation and respiratory exercises in the initial two PODs will reduce PPCs and optimize postoperative care in patients undergoing colorectal surgery.

Risk factors for pulmonary complications after colorectal cancer surgery: a Japanese multicenter study

PURPOSE

Pulmonary complications (PC) are a serious condition with a 20% mortality rate. However, few reports have examined risk factors for PC after colorectal surgery. This study investigated the frequency, characteristics, and risk factors for PC after colorectal cancer surgery.

METHODS

Between January 2016 and December 2022, we retrospectively reviewed 3979 consecutive patients who underwent colorectal cancer surgery in seven participating hospitals. Patients were divided into patients who experienced PC (PC group, n = 54) and patients who did not (non-PC group, n = 3925). Clinical and pathological features were compared between groups.

RESULTS

Fifty-four patients (1.5%) developed PC, of whom 2 patients (3.7%) died due to PC. Age was greater (80 years vs 71 years; p < 0.001), frequency of chronic obstructive pulmonary distress was greater (9.3% vs 3.2%; p = 0.029), performance status was poorer (p < 0.001), the proportion of underweight was higher (42.6% vs 13.4%, p < 0.001), frequency of open surgery was greater (24.1% vs 9.3%; p < 0.001), and blood loss was greater (40 mL vs 22 mL; p < 0.001) in the PC group. Multivariate analysis revealed male sex (odds ratio (OR) 2.165, 95% confidence interval (CI) 1.176-3.986; p = 0.013), greater age (OR 3.180, 95%CI 1.798-5.624; p < 0.001), underweight (OR 3.961, 95%CI 2.210-7.100; p < 0.001), and poorer ASA-PS (OR 3.828, 95%CI 2.144-6.834; p < 0.001) as independent predictors of PC.

CONCLUSION

Our study revealed male sex, greater age, underweight, and poorer ASA-PS as factors associated with development of PC, and suggested that pre- and postoperative rehabilitation and pneumonia control measures should be implemented for patients at high risk of PC.

Estimates of 30-day postoperative pulmonary complications after gastrointestinal endoscopic procedures: A retrospective cohort analysis of a health system population

The incidence of 30-day postoperative pulmonary complications (PPC) of gastrointestinal endoscopic procedures (GIEP) are not well characterized in the literature. The primary aim of this study was to identify the incidence of 30-day PPC after GIEP within a large healthcare system. We conducted a retrospective cohort study of 5377 patients presenting for GIEP between January 2013 and January 2022. Our primary outcome was the Agency for Healthcare Research and Quality PPC composite (AHRQ-PPC). Secondary outcomes were sub-composites derived from the AHRQ-PPC; including pneumonia (AHRQ-PNA), respiratory failure (AHRQ-RF), aspiration pneumonia/ pneumonitis (AHRQ-ASP) and pulmonary emboli (AHRQ-PE). We performed propensity score matching (PSM) followed by multivariable logistic regression to analyze primary and secondary outcomes. Inpatients had higher 30-day AHRQ-PPC (6.0 vs. 1.2%, p<0.001), as well as sub-composite AHRQ-PNA (3.2 vs. 0.7%, p<0.001), AHRQ-RF (2.4 vs. 0.5%, p<0.001), and AHRQ-ASP (1.9 vs. 0.4%, p<0.001). After PSM adjustment, pre-procedural comorbidities of electrolyte disorder [57.9 vs. 31.1%, ORadj: 2.26, 95%CI (1.48, 3.45), p<0.001], alcohol abuse disorder [16.7 vs. 6.8%, ORadj: 2.66 95%CI (1.29, 5.49), p = 0.01], congestive heart failure (CHF) [22.3 vs. 8.7%, ORadj: 2.2 95%CI (1.17, 4.15), p = 0.02] and pulmonary circulatory disorders [21 vs. 16.9%, ORadj: 2.95, 95%CI (1.36, 6.39), p = 0.01] were associated with 30-day AHRQ-PPC. After covariate adjustment, AHRQ-PPC was associated with upper endoscopy more than lower endoscopy [5.9 vs. 1.0%, ORadj: 3.76, 95%CI (1.85, 7.66), p<0.001]. When compared to gastroenterologist-guided conscious sedation, anesthesia care team presence was protective against AHRQ-PPC [3.7 vs. 8.4%, ORadj: 0.032, 95%CI (0.01, 0.22), p<0.001] and AHRQ-ASP [1.0 vs. 3.37%, ORadj: 0.002, 95%CI (0.00, 0.55), p<0.001]. In conclusion, we report estimates of 30-day PPC after GIEP across inpatient and outpatient settings. Upper endoscopic procedures confer a higher risk, while the presence of an anesthesia care team may be protective against 30-day PPC.

Process model analysis of parenchyma sparing laparoscopic liver surgery to recognize surgical steps and predict impact of new technologies

BACKGROUND

Surgical process model (SPM) analysis is a great means to predict the surgical steps in a procedure as well as to predict the potential impact of new technologies. Especially in complicated and high-volume treatments, such as parenchyma sparing laparoscopic liver resection (LLR), profound process knowledge is essential for enabling improving surgical quality and efficiency.

METHODS

Videos of thirteen parenchyma sparing LLR were analyzed to extract the duration and sequence of surgical steps according to the process model. The videos were categorized into three groups, based on the tumor locations. Next, a detailed discrete events simulation model (DESM) of LLR was built, based on the process model and the process data obtained from the endoscopic videos. Furthermore, the impact of using a navigation platform on the total duration of the LLR was studied with the simulation model by assessing three different scenarios: (i) no navigation platform, (ii) conservative positive effect, and (iii) optimistic positive effect.

RESULTS

The possible variations of sequences of surgical steps in performing parenchyma sparing depending on the tumor locations were established. The statistically most probable chain of surgical steps was predicted, which could be used to improve parenchyma sparing surgeries. In all three categories (i-iii) the treatment phase covered the major part (~ 40%) of the total procedure duration (bottleneck). The simulation results predict that a navigation platform could decrease the total surgery duration by up to 30%.

CONCLUSION

This study showed a DESM based on the analysis of steps during surgical procedures can be used to predict the impact of new technology. SPMs can be used to detect, e.g., the most probable workflow paths which enables predicting next surgical steps, improving surgical training systems, and analyzing surgical performance. Moreover, it provides insight into the points for improvement and bottlenecks in the surgical process.

Machine Learning Model for Predicting Acute Respiratory Failure in Individuals With Moderate-to-Severe Traumatic Brain Injury

Background: There is a high incidence of acute respiratory failure (ARF) in moderate or severe traumatic brain injury (M-STBI), worsening outcomes. This study aimed to design a predictive model for ARF.

Methods: Adult patients with M-STBI [3 ≤ Glasgow Coma Scale (GCS) ≤ 12] with a definite history of brain trauma and abnormal head on CT images, obtained from September 2015 to May 2017, were included. Patients with age >80 years or <18 years, multiple injuries with TBI upon admission, or pregnancy (in women) were excluded. Two models based on machine learning extreme gradient boosting (XGBoost) or logistic regression, respectively, were developed for predicting ARF within 48 h upon admission. These models were evaluated by out-of-sample validation. The samples were assigned to the training and test sets at a ratio of 3:1.

Results: In total, 312 patients were analyzed including 132 (42.3%) patients who had ARF. The GCS and the Marshall CT score, procalcitonin (PCT), and C-reactive protein (CRP) on admission significantly predicted ARF. The novel machine learning XGBoost model was superior to logistic regression model in predicting ARF [area under the receiver operating characteristic (AUROC) = 0.903, 95% CI, 0.834–0.966 vs. AUROC = 0.798, 95% CI, 0.697–0.899; p < 0.05].

Conclusion: The XGBoost model could better predict ARF in comparison with logistic regression-based model. Therefore, machine learning methods could help to develop and validate novel predictive models.

Metabolic Profiling of Urinary Chiral Amino-Containing Biomarkers for Gastric Cancer Using a Sensitive Chiral Chlorine-Labeled Probe by HPLC-MS/MS

Screening of characteristic biomarkers from chiral amino-containing metabolites in biological samples is difficult and important for the noninvasive diagnosis of gastric cancer (GC). Here, an enantiomeric pair of chlorine-labeled probes d-BPCl and l-BPCl was synthesized to selectively label d- and l-amino-containing metabolites in biological samples, respectively. Incorrect structural annotations were excluded according to the characteristic 3:1 abundance ratio of natural chlorine isotopes (³⁵Cl and ³⁷Cl) derived from the probes. A sensitive C18 HPLC-QQQ-MS/MS method in combination with the probes was then developed and applied in metabolomic analysis of amino-containing metabolites in urine samples. A total of 161 amino-containing metabolites were rapidly separated and determined, and 28 chiral amino acids and achiral glycine were quantified with good precision and accuracy. A total of 18 differential variables were discriminated by analyzing chiral amino-containing metabolites in urine samples of the GC patient and healthy person using the probe-based HPLC-MS/MS-MRM method combined with the orthogonal partial least squares discriminant analysis and Mann-Whitney U test with false discovery rate correction for multiple hypotheses. A diagnostic regression model including d-isoleucine, d-serine, and β-(pyrazol-1-yl)-l-alanine and age was then constructed with an average prediction correctness of 88.9% in the validation set. This work established a close connection between gastric cancer and chiral amino-containing metabolites. The mass spectrometry data analyzed in the study are publicly available via Mendeley Data (DOI: 10.17632/4bd93j9yrr.1).

Trends and consequences of surgical conversion in the United States

BACKGROUND

The aim of this study was to identify national utilization trends of robotic surgery for elective colectomy, conversion rates over time, and the specific impact of conversion on postoperative morbidity. Conversion to open represents a hard endpoint for minimally invasive surgery (MIS) and is associated with worse outcomes when compared to MIS or even traditional open procedures.

METHODS

All adult patients who underwent either laparoscopic or robotic elective colectomy from 2013 to 2018 as reported in the American College of Surgeons Quality Improvement Program (ACS-NSQIP) database were included. National trends of both robotic utilization and conversion rates were analyzed, overall and according to underlying disease (benign disease, inflammatory bowel disease (IBD), cancer), or the presence of obesity (body mass index (BMI) ≥ 30 kg/m²). Demographic and surgical risk factors for surgical conversion to open were identified through multivariable regression analysis. Further assessed were overall and specific postoperative 30-day complications, which were risk adjusted and compared between converted patients and the remaining cohort.

RESULTS

Of 66,652 included procedures, 5353 (8.0%) were converted to open. Conversion rates were 8.5% for laparoscopic and 4.9% for robotic surgery (p < 0.0001). A decline in conversion rates over the 6-year inclusion period was observed overall and for patients with obesity. This trend paralleled an increased utilization of the robotic platform. Several surrogates for advanced disease stages for cancer, diverticulitis, and IBD and prolonged surgical duration were identified as independent risk factors for unplanned conversion, while robotic approach was an independent protective factor (OR 0.44, p < 0.0001). Patients who had unplanned conversion were more likely to experience postoperative complications (OR 2.36; 95% CI [2.21-2.51]), length of hospital stay ≥ 6 days (OR 2.86; 95% CI [2.67-3.05], and 30-day mortality (OR 2.28; 95% CI [1.72-3.02]).

CONCLUSION

This nationwide study identified a decreasing trend in conversion rates over the 6-year inclusion period, both overall and in patients with obesity, paralleling increased utilization of the robotic platform. Unplanned conversion to open was associated with a higher risk of postoperative complications.