Application of Surgical Apgar Score in intracranial meningioma surgery

Ability to predict surgical outcomes by surgical Apgar score: a systematic review

BACKGROUND

The Surgical Apgar score (SAS) is a straightforward and unbiased measure to assess the probability of experiencing complications after surgery. It is calculated upon completion of the surgical procedure and provides valuable predictive information. The SAS evaluates three specific factors during surgery: the estimated amount of blood loss (EBL), the lowest recorded mean arterial pressure (MAP), and the lowest heart rate (LHR) observed. Considering these factors, the SAS offers insights into the probability of encountering postoperative complications.

METHODS

Three authors independently searched the Medline, PubMed, Web of Science, Scopus, and Embase databases until June 2022. This search was conducted without any language or timeframe restrictions, and it aimed to cover relevant literature on the subject. The inclusion criteria were the correlation between SAS and any modified/adjusted SAS (m SAS, (Modified SAS). eSAS, M eSAS, and SASA), and complications before, during, and after surgeries. Nevertheless, the study excluded letters to the editor, reviews, and case reports. Additionally, the researchers employed Begg and Egger's regression model to evaluate publication bias.

RESULTS

In this systematic study, a total of 78 studies \were examined. The findings exposed that SAS was effective in anticipating short-term complications and served as factor for a long-term prognostic following multiple surgeries. While the SAS has been validated across various surgical subspecialties, based on the available evidence, the algorithm's modifications may be necessary to enhance its predictive accuracy within each specific subspecialty.

CONCLUSIONS

The SAS enables surgeons and anesthesiologists to recognize patients at a higher risk for certain complications or adverse events. By either modifying the SAS (Modified SAS) or combining it with ASA criteria, healthcare professionals can enhance their ability to identify patients who require continuous observation and follow-up as they go through the postoperative period. This approach would improve the accuracy of identifying individuals at risk and ensure appropriate measures to provide necessary care and support.

The Surgical Apgar Score: A Systematic Review of Its Discriminatory Performance

To review the current literature evaluating the performance of the Surgical Apgar Score (SAS).

Background

The SAS is a simple metric calculated at the end of surgery that provides clinicians with information about a patient's postoperative risk of morbidity and mortality. The SAS differs from other prognostic models in that it is calculated from intraoperative rather than preoperative parameters. The SAS was originally derived and validated in a general and vascular surgery population. Since its inception, it has been evaluated in many other surgical disciplines, large heterogeneous surgical populations, and various countries.

Methods

A database and gray literature search was performed on March 3, 2020. Identified articles were reviewed for applicability and study quality with prespecified inclusion criteria, exclusion criteria, and quality requirements. Thirty-six observational studies are included for review. Data were systematically extracted and tabulated independently and in duplicate by two investigators with differences resolved by consensus.

Results

All 36 included studies reported metrics of discrimination. When using the SAS to correctly identify postoperative morbidity, the area under the receiver operating characteristic curve or concordance-statistic ranged from 0.59 in a general orthopedic surgery population to 0.872 in an orthopedic spine surgery population. When using the SAS to identify mortality, the area under the receiver operating characteristic curve or concordance-statistic ranged from 0.63 in a combined surgical population to 0.92 in a general and vascular surgery population.

Conclusions

The SAS provides a moderate and consistent degree of discrimination for postoperative morbidity and mortality across multiple surgical disciplines.

Development and validation of a nomogram to predict complications in patients undergoing simultaneous bilateral total knee arthroplasty: A retrospective study from two centers

Purpose

Complications were significantly increased 30 days after Simultaneous bilateral total knee arthroplasty (SBTKA). In this study, an individualized nomogram was established and validated to predict the complications within 30 days after SBTKA.

Methods

The general data of 861 patients (training set) who received SBTKA in The Affiliated Hospital of Qingdao University between January 1, 2012 and March 31, 2017 were retrospectively analyzed. All patients were divided into complication group (n = 96) and non-complication group (n = 765) according to the incidence of complications within 30 years after SBTKA. Independent risk factors for postoperative SBTKA complications were identified and screened by binary logistic regression analyses, and then a nomogram prediction model was constructed using R software. The area under curve (AUC), calibration curve, and decision curve analysis (DCA) were selected to evaluate the line-chart. Meanwhile, 396 patients receiving SBTKA in the Third Hospital of Hebei Medical University who met the inclusion and exclusion criteria (test set) were selected to verify the nomogram.

Results

Five independent predictors were identified by binary logistic regression analyses and a nomogram was established. The AUC of this nomogram curve is 0.851 (95% CI: 0.819-0.883) and 0.818 (95% CI: 0.735-0.900) in the training and testing sets, respectively. In the training set and test set, calibration curves show that nomogram prediction results are in good agreement with actual observation results, and DCA shows that nomogram prediction results have good clinical application value.

Conclusion

Older age, lower preoperative hemoglobin level, higher preoperative blood urea nitrogen (BUN) level, longer operation time, ASA grade ≥ III are independent predictors of SBTKA complications within 30 days after surgery. A nomogram containing these five predictors can accurately predict the risk of complications within 30 days after SBTKA.

Perioperative Risk Factors Associated with Unplanned Neurological Intensive Care Unit Events Following Elective Infratentorial Brain Tumor Resection

BACKGROUND

Our aim of this study was to identify risk factors and develop a prediction model for unplanned neurological intensive care unit (NICU) events after elective infratentorial brain tumor resection in order to propose an individualized admission to the NICU tailored to patient needs.

METHODS

Patients admitted to our NICU between September 2018 and May 2021 after elective infratentorial brain tumor resection were reviewed. Prolonged NICU stays and unplanned NICU admissions were defined as unplanned NICU events. The prognostic model of unplanned NICU events was developed using a forward stepwise logistic regression analysis, and external validation was evaluated. The C-statistic was used to assess discrimination, and a smooth, nonparametric calibration line was used to assess calibration graphically in the model.

RESULTS

Of the 1,710 patients in the development cohort, unplanned NICU events occurred in 162 (9.5%). Based on the lesion type, a Karnofsky Performance Status score <70 at admission, longer duration of surgery, bleeding in the operative area evident on postoperative computed tomography, higher fibrinogen and blood glucose levels at admission, and more intraoperative blood loss were independently associated with unplanned NICU events. The external validation test showed good discrimination (C-statistic = 0.811) and calibration (Hosmer-Lemeshow P = 0.141) for unplanned NICU events.

CONCLUSIONS

Several patient and operative characteristics are associated with a greater likelihood of the occurrence of unplanned NICU events. In the future, we may be able to provide better help for the resource allocation of NICUs according to these risk factors and prediction models.

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.

Postoperative circuits in patients undergoing elective craniotomy. A narrative review

In 2017, the Neurosciences section of the Spanish Society of Anaesthesiology, Critical Care and Pain Therapy published a national survey on postoperative care and treatment circuits in neurosurgery. The survey showed that practices vary widely, depending on the centre, the anaesthesiologist and the pathology of the patient. There is currently no standard postoperative circuit for cranial neurosurgical procedures in Spanish hospitals, and there is sufficient evidence to show that not all patients undergoing elective craniotomy should be routinely admitted to a postsurgical critical care unit. The aim of this study is to perform a narrative review of postoperative circuits in elective craniotomy in order to standardise clinical practice in the light of published studies. For this purpose, we searched MEDLINE (PubMed) to retrieve studies published in the last ten years, up to November 2019, using the keywords neurosurgery and postoperative care, craniotomyand postoperative care.

A simple nomogram for predicting early complications in patients after primary knee arthroplasty

BACKGROUND

This study sought to construct a nomogram for patients based on preoperative and intraoperative variables to individually predict the likelihood of complications within 30 days after primary knee arthroplasty.

METHODS

Data were obtained from the medical record of patients who underwent primary knee arthroplasty at our institution from 2015 to 2018. Preoperative and intraoperative factors were collected critically. Predictor variables include 15 common complications occurring within 30 days. The predictive model was developed using multivariable logistic regression and least absolute shrinkage and selection operator regression. Clinical usefulness and calibration of the predicting model were assessed using C-index, calibration plot, receiver operating curve, and decision curve analysis. Internal validation was assessed using the bootstrapping validation.

RESULTS

The prediction nomogram identified six variables associated with complications, including hemoglobin, tourniquet time, operative time, estimated intraoperative blood loss, American Society of Anesthesiologists Classification (ASA class) and type of anesthesia. The model displayed good discrimination with a C-index of 0.822 (95% confidence interval: 0.760-0.884), an area under the curve of 0.822 and good calibration. High C-index value of 0.810 could still be reached in the interval validation. Decision curve analysis showed that the nomogram was clinically useful when intervention was decided at the complications possibility threshold in the three percent to 100% range.

CONCLUSION

We constructed and validated a nomogram for predicting the probability of postoperative complications within 30 days after primary knee arthroplasty. Our nomogram may prove to be a useful tool for guiding physicians in terms of their decisions.

A low surgical Apgar score is a predictor of anastomotic leakage after transthoracic esophagectomy, but not a prognostic factor

BACKGROUND

The surgical Apgar score (SAS) has been a useful predictor of postoperative complications in several types of cancer. However, there are few reports about the correlation of SAS and esophageal cancer. This study aimed to examine the utility of SAS as a predictor of major complications, particularly anastomotic leakage, in patients who underwent transthoracic esophagectomy, and investigate the correlation between SAS and patient prognosis.

METHODS

This is a single-center, retrospective observational study. A total of 190 patients who underwent esophagectomy for esophageal cancer in 2012-2016 were reviewed to find the correlation between SAS and postoperative complications (Clavien-Dindo classification III or higher). SAS was calculated based on intraoperative estimated blood loss, lowest mean arterial pressure, and lowest heart rate. Major complications included anastomotic leakage, respiratory, cardiac, recurrent nerve palsy, chylothorax, and other complications. We also reviewed how SAS was correlated with 3 year overall survival (OS) and recurrence-free survival (RFS). A high SAS was defined as ≥ 6, and a low SAS as < 6.

RESULTS

On univariate analysis, SAS showed a statistical significance in all major complications and anastomotic leakage. On multiple logistic regression analysis, a low SAS was detected as a risk factor of the major complications and anastomotic leakage, with a significant difference. Moreover, we conducted survival analysis with SAS; however, we could not detect that a low SAS had a negative impact on OS and RFS.

CONCLUSIONS

A low SAS can be a predictor of postoperative complications, especially anastomotic leakage. However, SAS was not correlated with OS or RFS.

Prediction of perioperative complications after robotic-assisted radical hysterectomy for cervical cancer using the modified surgical Apgar score

BACKGROUND

Although there has been marked development in surgical techniques, there is no easy and fast method of predicting complications in minimally invasive surgeries. We evaluated whether the modified surgical Apgar score (MSAS) could predict perioperative complications in patients undergoing robotic-assisted radical hysterectomy.

METHODS

All patients with cervical cancer undergoing robotic-assisted radical hysterectomy at our institution between January 2011 and May 2017 were included. Their clinical characteristics were retrieved from their medical records. The surgical Apgar score (SAS) was calculated from the estimated blood loss, lowest mean arterial pressure, and lowest heart rate during surgery. We modified the SAS considering the lesser blood loss typical of robotic surgeries. Perioperative complications were defined using a previous study and the Clavien-Dindo classification and subdivided into intraoperative and postoperative complications. We analyzed the association of perioperative complications with low MSAS.

RESULTS

A total of 138 patients were divided into 2 groups: with (n = 53) and without (n = 85) complications. According to the Clavien-Dindo classification, 49 perioperative complications were classified under Grade I (73.1%); 13, under Grade II (19.4%); and 5, under Grade III (7.5%); 0, under both Grade IV and Grade V. Perioperative complications were significantly associated with surgical time (p = 0.026). The MSAS had a correlation with perioperative complications (p = 0.047). The low MSAS (MSAS, ≤6; n = 52) group had significantly more complications [40 (76.9%), p = 0.01]. Intraoperative complications were more correlated with a low MSAS than were postoperative complications [1 (1.2%) vs. 21 (40.4%); p < 0.001, 13 (15.1%) vs. 25 (48.1%); p = 0.29, respectively]. We also analyzed the risk-stratified MSAS in 3 subgroups: low (MSAS, 7-10), moderate (MSAS 5-6), and high risks (MSAS, 0-4). The prevalence of intraoperative complications significantly increased as the MSAS decreased p = 0.01).

CONCLUSIONS

This study was consistent the concept that the intuitive and simple MSAS might be more useful in predicting intraoperative complications than in predicting postoperative complications in minimally invasive surgeries, such as robotic-assisted radical hysterectomy for cervical cancer.

Transzygomatic approach plus mini-peeling of middle fossa for devascularization of sphenoid wing meningiomas. Technical note

Background:

Sphenoid wing meningiomas account for 20% of supratentorial meningiomas. The main supply of these tumors is provided by branches of the middle and accessory meningeal arteries. Surgical resection of meningiomas requires early tumor devascularization. Our objective is to present the role of transzygomatic approach plus mini-peeling of the anterior third of the middle fossa in the extradural identification and coagulation of branches of middle and accessory meningeal arteries involved in tumor supply.

Methods:

Ten formalin-fixed, silicone-injected cadaveric heads were used. On each side a transzygomatic approach plus mini-peeling of the anterior third of the middle fossa was performed. Between 2005 and 2017, the authors applied this technique for the resection of sphenoid wing meningiomas in 28 patients.

Results:

The mean age of patients was 54 years. Thirteen tumors could be classified as medial-third type, 6 as middle-third type, and 4 tumors were lateral-third type. Five tumors represented combined types. Of these, 3 tumors involved the medial and middle-third of the sphenoid wing and 2 involved the entire wing. Surgical resection was classified as Simpson I/II in 24 patients (86%). There were no permanent deficits or postoperative mortality.

Conclusions:

The transzygomatic approach combined with mini-peeling of the anterior third of the middle fossa is effective in allowing early devascularization of sphenoid wing meningiomas. These maneuvers are particularly important during resection of large tumors.

Criteria for Intensive Care admission and monitoring after elective craniotomy

PURPOSE OF REVIEW

The current article revises the recent evidence on ICU admission criteria and postoperative neuromonitoring for patients undergoing elective craniotomy.

RECENT FINDINGS

Only a small proportion of elective postoperative neurosurgical patients require specific medical interventions and invasive monitoring. Among these, patients undergoing elective craniotomy are frequently admitted to neuro-ICU, specialist postanaesthesia care units or intermediate-level care unit in the postoperative period.Craniotomy patients have a high risk of neurological complications in the immediate postoperative period and might require advanced neuromonitoring, especially if sedation is continued in the ICU.Furthermore, the concept of enhanced recovery after surgery with the goal of improving functional capacity after surgery and decreasing morbidity has expanded to encompass neurosurgery.Postoperative clinical examination and neurological scores, bispectral index and simplified electroencephalography, and morning discharge huddles are the most used strategies in this context.

SUMMARY

After elective craniotomy, ICU admission should be warranted to patients who show new neurological deficits, especially when these include reduced consciousness or deficits of the lower cranial nerves, or have surgical indication for delayed extubation. Currently, evidence does not allow defining standardized protocol to guide ICU admission and postoperative neuromonitoring.

The Reliability of Surgical Apgar Score in Predicting Immediate and Late Postoperative Morbidity and Mortality: A Narrative Review

Surgical Apgar Score is a simple, 10-point scoring system in which a low score reliably identifies those patients at risk for adverse perioperative outcomes. Surgical techniques and anesthesia management should be directed in such a way that the Surgical Apgar Score remains higher to avoid postoperative morbidity and mortality.