Association of the age-adjusted Charlson Comorbidity Index and systemic inflammation with survival in gastric cancer patients after radical gastrectomy

Effect of early enteral nutrition on short-term outcomes and survival in patients in the cardiothoracic intensive care unit: An inverse probability weighted retrospective study

OBJECTIVES

The merits of early enteral nutrition (EEN) in patients in the cardiothoracic intensive care unit (CTICU) remain unclear. This retrospective study aimed to address this issue.

METHODS

We analyzed data from the MIMIC IV v2.0 database, including patients with a CTICU stay of ≥4 d. Patients were divided into early and delayed enteral nutrition (EN) groups. Differences in baseline data were corrected using an inverse probability weighting (IPW) approach. Generalized linear models (GLMs) were used to compare trends over time between groups, and survival effects were evaluated with weighted logistic and Cox regression, supplemented by weighted Kaplan-Meier curves. Subgroup analysis facilitated the exploration of potential interactions.

RESULTS

The study included 720 CTICU patients. Following IPW, all baseline variables were balanced. EEN led to shorter hospital and CTICU stays, lower incidence of respiratory and blood infections, and reduced total insulin usage in the first week of CTICU admission, albeit with an increased total gastric residual volume. Mortality risk between the groups did not significantly differ at 28 d or at 1 y. Excessive early energy and protein intake elevated the risk of 28-d mortality, but the relationship may not be linear. Overweight patients or those with fewer comorbidities had a higher mortality risk with EEN.

CONCLUSIONS

EEN may improve short-term outcomes in CTICU patients without a clear survival benefit. Early high caloric and protein intake could lead to adverse outcomes, suggesting a careful evaluation for initiating EN in specific patients.

Prognostic Model of D2 Radical Gastrectomy Combined with Neoadjuvant Chemotherapy for Gastric Cancer

Purpose

The AJCC (the American Joint Committee on Cancer) ypTNM (post-neoadjuvant pathologic stage group) staging was established based on patients with lymphadenectomy scope less than D2 and did not include ypT0N0 patients with pathologically complete response (PCR). The purpose of this study was to construct a survival predictive model for gastric cancer patients after neoadjuvant chemotherapy and gastrectomy combined with D2 lymphadenectomy.

Patients and Methods

The multicenter data of 838 gastric cancer patients who received neoadjuvant chemotherapy and gastrectomy combined with D2 lymphadenectomy were analyzed retrospectively. These dual center patients were divided into training (n = 671, the Affiliated Hospital of Qingdao University) and validation (n = 167, Qingdao West Coast New Area Central Hospital) cohorts. Based on training cohort, univariate and multivariable COX regression analyses were performed to select the clinicopathological characteristics significantly correlating with overall survival and construct a nomogram. Based on training and validation cohorts, the distinguishing and calibrating capabilities of nomogram was evaluated by the receiver operating characteristic (ROC) curve, Harrell's concordance index (C-index), decision curve analysis (DCA) curve and calibration curve.

Results

Platelet-to-lymphocyte ratio (PLR), pathologic stage after neoadjuvant treatment: ypT and ypN stage, tumor regression grade (TRG) became independent variables intimately related to the prognosis and was used to construct nomograms of 3/5-year prognosis. The nomograms showed an accuracy in predicting OS (overall survival) rate, with area under the ROC curve (AUC) of 0.818 (95% CI = 0.753~0.883) and C-index of 0.801 (95% CI = 0.744~0.858) in validation cohort. Calibration curves showed satisfactory agreement between nomogram prediction and actual result, and DCA curves indicated the large positive net benefit and excellent clinical usefulness of nomogram.

Conclusion

This study successfully developed a nomogram to predict overall survival of gastric cancer patients after neoadjuvant chemotherapy and gastrectomy combined with D2 lymphadenectomy, which might have excellent predictive performance and clinical application value.

Development of a model based on the age-adjusted Charlson comorbidity index to predict survival for resected perihilar cholangiocarcinoma

BACKGROUND

Perihilar cholangiocarcinoma (pCCA) has a poor prognosis and urgently needs a better predictive method. The predictive value of the age-adjusted Charlson comorbidity index (ACCI) for the long-term prognosis of patients with multiple malignancies was recently reported. However, pCCA is one of the most surgically difficult gastrointestinal tumors with the poorest prognosis, and the value of the ACCI for the prognosis of pCCA patients after curative resection is unclear.

AIM

To evaluate the prognostic value of the ACCI and to design an online clinical model for pCCA patients.

METHODS

Consecutive pCCA patients after curative resection between 2010 and 2019 were enrolled from a multicenter database. The patients were randomly assigned 3:1 to training and validation cohorts. In the training and validation cohorts, all patients were divided into low-, moderate-, and high-ACCI groups. Kaplan-Meier curves were used to determine the impact of the ACCI on overall survival (OS) for pCCA patients, and multivariate Cox regression analysis was used to determine the independent risk factors affecting OS. An online clinical model based on the ACCI was developed and validated. The concordance index (C-index), calibration curve, and receiver operating characteristic (ROC) curve were used to evaluate the predictive performance and fit of this model.

RESULTS

A total of 325 patients were included. There were 244 patients in the training cohort and 81 patients in the validation cohort. In the training cohort, 116, 91 and 37 patients were classified into the low-, moderate- and high-ACCI groups. The Kaplan-Meier curves showed that patients in the moderate- and high-ACCI groups had worse survival rates than those in the low-ACCI group. Multivariable analysis revealed that moderate and high ACCI scores were independently associated with OS in pCCA patients after curative resection. In addition, an online clinical model was developed that had ideal C-indexes of 0.725 and 0.675 for predicting OS in the training and validation cohorts. The calibration curve and ROC curve indicated that the model had a good fit and prediction performance.

CONCLUSION

A high ACCI score may predict poor long-term survival in pCCA patients after curative resection. High-risk patients screened by the ACCI-based model should be given more clinical attention in terms of the management of comorbidities and postoperative follow-up.

Age‑adjusted Charlson comorbidity index and in‑hospital mortality in critically ill patients with cardiogenic shock: A retrospective cohort study

Evidence regarding the relationship between age-adjusted Charlson comorbidity index (ACCI) and in-hospital mortality is limited. Therefore, the present study investigated whether there was an independent association between ACCI and in-hospital mortality in critically ill patients with cardiogenic shock (CS) after adjusting for other covariates (age, sex, history of disease, scoring system, in-hospital management, vital signs at presentation, laboratory findings and vasopressors). ACCI, calculated retrospectively after hospitalization between 2008 and 2019, was derived from intensive care unit (ICU) admissions at the Beth Israel Deaconess Medical Center (Boston, MA, USA). Patients with CS were classified into two categories based on predefined ACCI scores (low, <8; high, ≥8). Based on baseline ACCI, the risk of in-hospital mortality in patients with CS was calculated using a multivariate Cox proportional risk model, and the threshold effect was calculated using a two-piece linear regression model. The in-hospital mortality rate was ~1.5 times greater in the ACCI high group compared with that in the ACCI low group [hazard ratio (HR)=1.45; 95% confidence interval (CI), 1.14-1.86]. Additional analysis showed that ACCI had a curvilinear association with in-hospital mortality risk in patients with CS, with a saturation effect predicted at 4.5. When ACCI was >4.5, the risk of in-hospital CS death increased significantly with increasing ACCI (HR=1.122; 95% CI, 1.054-1.194). Overall, ACCI was an independent predictor of in-hospital mortality in ICU patients with CS. A non-linear relationship was revealed between ACCI and in-hospital mortality, where in-hospital mortality increased significantly when ACCI was >4.5.

Age-adjusted Charlson Comorbidity Index as effective predictor for in-hospital mortality of patients with cardiac arrest: a retrospective study

BACKGROUND

Cardiac arrest is currently one of the leading causes of mortality in clinical practice, and the Charlson Comorbidity Index (CCI) is widely utilized to assess the severity of comorbidities. We aimed to evaluate the relationship between the age-adjusted CCI score and in-hospital mortality in intensive care unit (ICU) patients with the diagnosis of cardiac arrest, which is important but less explored previously.

METHODS

This was a retrospective study including patients aged over 18 years from the MIMIC-IV database. We calculated the age-adjusted CCI using age information and ICD codes. The univariate analysis for varied predictors' differences between the survival and the non-survival groups was performed. In addition, a multiple factor analysis was conducted based on logistic regression analysis with the primary result set as hospitalization death. An additional multivariate regression analysis was conducted to estimate the influence of hospital and ICU stay.

RESULTS

A total of 1772 patients were included in our study, with median age of 66, among which 705 (39.8%) were female. Amongst these patients, 963 (54.3%) died during the hospitalization period. Patients with higher age-adjusted CCI scores had a higher likelihood of dying during hospitalization (P < 0.001; OR: 1.109; 95% CI: 1.068-1.151). With the age-adjusted CCI incorporated into the predictive model, the area under the receiver operating characteristic curve was 0.794 (CI: 0.773-0.814), showing that the prediction model is effective. Additionally, patients with higher age-adjusted CCI scores stayed longer in the hospital (P = 0.026, 95% CI: 0.056-0.896), but there was no significant difference between patients with varied age-adjusted CCI scores on the days of ICU stay.

CONCLUSION

The age-adjusted CCI is a valid indicator to predict death in ICU patients with cardiac arrest, which can offer enlightenment for both theory literatures and clinical practice.

Efficacy of Neutrophil-to-Lymphocyte Ratio for Cancer-Specific Survival in Elderly Patients with Localized Colon Cancer: A Single Center Propensity Score-Matched Analysis

Purpose

The prognostic value of neutrophil-to-lymphocyte ratio (NLR) has been studied for colorectal cancer. Elderly patients in general tend to have comorbidities and decreased organ function that potentially influence the NLR score. The aim of this study was to investigate the relationship between NLR and cancer-specific survival in elderly patients with colon cancer, using a propensity score-matched analysis.

Patients and Methods

A total of 203 patients aged over 75 years who underwent curative resection for colon cancer and were diagnosed pathologically with stage II/III disease were eligible for entry to the study. Patients were divided into two groups according to NLR score: NLR-High (NLR≥4.5) group (NLR-H, n=60) and NLR-Low (NLR<4.5) group (NLR-L, n=143). After propensity score matching, 57 patients in each group were matched.

Results

Before matching, Charlson comorbidity index was significantly higher in the NLR-H group (4 vs 2, p<0.001). After matching, all factors were similar between the groups. The median follow-up period was 43 months (range, 1-160 months). Five-year relapse-free-survival (69.8% vs 87.3%, p=0.030) and cancer-specific survival (83.0% vs 96.0%, p=0.042) were significantly lower in the NLR-H group.

Conclusion

NLR appears to be a cancer-specific prognostic marker in elderly patients with colon cancer.

Examining the Associations between Post-Stroke Cognitive Function and Common Comorbid Conditions among Stroke Survivors

A considerable complication for stroke survivors is the subsequent development of cognitive decline or dementia. In this study, the relationship between the inflammation-centered comorbidity burden on post-stroke cognitive function among community-dwelling stroke survivors capable of independent living was examined. Data for this secondary analysis were collected from stroke survivors (n = 97) participating in a randomized clinical trial. Participants provided baseline responses, regarding cognitive function (mini-mental status exam, MMSE; Montreal cognitive assessment, MoCA), history of stroke comorbid conditions, and the Stroke Prognosis Instrument-II (SPI-II), an index of stroke comorbidity and recurrent stroke risk within the next two years. Relationships and differences between groups were tested for significance using Spearman's correlation, Kruskal-Wallis, or Mann-Whitney U tests. Most stroke survivors (69%) had multiple comorbidities. Total SPI-II scores were negatively correlated to both MoCA and MMSE scores (r = -0.25, p = 0.01; r = -0.22, p = 0.03, respectively), and differences in MoCA scores among SPI-II risk groups (low, medium, high) were evident (p = 0.05). In contrast, there were no differences in MoCA or MMSE scores when comorbid conditions were examined individually. Lastly, no gender differences were evident in cognitive assessments. Our data support the premise that comorbidity's burden impacts post-stroke cognitive decline, more than a single comorbid condition. Inflammation may be an important component of this comorbidity burden. Future studies that operationalize this concept will better illuminate the complex phenomenon of post-stroke cognitive decline for improved clinical rehabilitation modalities.

Charlson comorbidity index is not associated with neutrophil-lymphocytes ratio in unselected hospitalized cancer patients: A cross-sectional study

This study sought to evaluate the association between Charlson Comorbidity Index (CCI) and neutrophil lymphocyte ratio (NLR). Cross-sectional study evaluated 134 patients of both sexes diagnosed with several types of cancer. NLR was calculated by dividing the absolute value of neutrophils by lymphocytes count, and the CCI questionnaire was used to assess the risk of comorbidities and mortality. The sample was dichotomized in CCI < 5 or ≥5. Student's t-test and Chi-square test were calculated to analyze the differences. The association between CCI and NLR was investigated by logistic regression analysis, performed with model 1 (crude) and model 2 (adjusted). The patients in the CCI ≥ 5 group were older, with higher neutrophil levels and prevalence of solid tumor type. There was no difference between groups regarding type of treatment, body weight, body mass index, performance status, lymphocyte count and NLR. There was no association between CCI and NLR, in both crude model (OR: 1.04 [95% CI: 0.99-1.09], p = 0.09), as well as adjusted for sex, age, physical activity, alcohol consumption, smoking habit, type of treatment, and performance status (OR: 1.04 [95% CI:0.97-1.12], p = 0.19). In hospitalized unselected cancer patients, despite of small sample size and design of study, we showed the presence of comorbidities is not related to the NLR.

Prediction of 90-Day Local Complications in Patients After Total Knee Arthroplasty: A Nomogram With External Validation

Background:

Local complications after total knee arthroplasty (TKA) significantly affect the patient’s prognosis. Nomograms can be a useful tool for predicting such complications.

Purpose:

To compare the preoperative and intraoperative factors of patients who underwent TKA with and without complications and to construct and validate a nomogram based on selective predictors of local complications within 90 days postoperatively.

Study Design:

Case-control study; Level of evidence, 3.

Methods:

The nomogram was developed in a primary cohort that consisted of 410 patients who underwent primary TKA at the authors’ institution between January 2015 and September 2018. Predictor variables included 4 major local complications that can occur within 90 days: reoperation (including implant revision or removal for any reason and manipulation under anesthesia), infection, bleeding requiring ≥4 unit transfusion of red blood cells within 72 hours of surgery, and peripheral nerve injury. The authors used least absolute shrinkage and selection operator (LASSO) regression analysis for data dimension reduction and feature selection. Multivariable logistic regression analysis was used to develop the nomogram. Performance of the nomogram was assessed using C-index, calibration plot, area under the receiver operating characteristic curve (AUC), and decision curve analysis (DCA). The model was subjected to bootstrap validation and external validation using a prospective cohort of 249 patients.

Results:

Four significantly prognostic factors were incorporated into the nomogram: age-adjusted Charlson Comorbidity Index, American Society of Anesthesiologists score, tourniquet time, and estimated intraoperative blood loss. The model displayed good discrimination, with a C-index of 0.819 and an AUC of 0.819. The calibration curves showed optimal agreement between nomogram prediction and actual observation. A high C-index value of 0.801 could still be reached in bootstrap validation. Application of the nomogram in the validation cohort showed good discrimination (C-index, 0.731) and good calibration. DCA demonstrated that the nomogram was clinically useful.

Conclusion:

The authors developed and validated a novel nomogram that can provide individual prediction of local complications within 90 days for patients after TKA. This practical tool may be conveniently used to estimate individual risk and help clinicians take measures to minimize or prevent the incidence of complications.

Prognosis after curative resection for stage IA gastric cancer in elderly patients: endoscopic submucosal dissection versus surgery

PURPOSE

To establish whether gastrectomy for early gastric cancer (EGC) in elderly patients is related to poor survival.

METHODS

The subjects of this retrospective study were patients aged ≥ 75 years with primary stage IA EGC, who underwent curative resection with endoscopic submucosal dissection (ESD) or surgery.

RESULTS

We analyzed data on 365 patients who underwent ESD and 170 patients who underwent surgery. Overall survival (OS) was not significantly different for the ESD group vs. the surgery group (5-year cumulative rates, 81.5% vs. 79.7%; log-rank test, P = 0.506). Multivariate analysis revealed that treatments; namely, ESD or surgery, were not associated with OS (hazard ratio 1.09, 95% confidence interval 0.77-1.51). Similar results were observed even in the subgroups with worse conditions, such as age > 80 years, Eastern Cooperative Oncology Group performance status 2-3, Charlson comorbidity index ≥ 2, and prognostic nutritional index ≤ 46.7. Using propensity score matching, we selected 88 pairs of patients who underwent ESD or surgery with baseline characteristics matched and found that OS was not different between the two groups (log-rank test, P = 0.829).

CONCLUSION

OS was comparable for elderly patients who underwent ESD and those who underwent surgery for EGC. Surgical invasiveness did not worsen the prognosis, even for elderly patients.

Survival Prediction Capabilities of Preoperative Inflammatory and Nutritional Status in Esophageal Squamous Cell Carcinoma Patients

BACKGROUND

Studies have revealed the impacts of various inflammatory and nutritional markers in patients with esophageal squamous cell carcinoma (ESCC). We evaluated the prognostic values of multiple inflammation- or nutrition-based markers, either alone or in combination with pStage, in ESCC patients.

METHODS

In total, 360 patients undergoing upfront surgery for ESCC were retrospectively reviewed. The prognostic capabilities of 7 inflammatory and 3 nutritional parameters were investigated. Furthermore, we devised new staging systems by adding these markers to pStage and examined the prognostic abilities of our new approach. Time-dependent receiver operating characteristic curves and the areas under the curve (AUCs) were estimated to compare prognostic capabilities among the parameters.

RESULTS

The AUCs for predicting overall survival (OS) of the prognostic nutritional index (PNI), CRP to albumin ration (CAR), lymphocyte to CRP ratio (LCR) and the Naples prognostic score (NPS) were similar to that of pStage. Notably, CAR and LCR showed high predictive capabilities for OS (AUCs; 0.627 and 0.634 for 3-year OS, respectively). New staging systems combining inflammatory or nutritional markers with pStage provided higher AUCs for predicting OS than pStage alone. In particular, NPpStage (NPS and pStage) (P = 0.03), PNpStage (PNI and pStage) (P = 0.03) and LCpStage (LCR and pStage) (P = 0.05) showed significantly higher accuracy for predicting OS than pStage alone.

CONCLUSIONS

Various inflammatory or nutritional markers, especially those derived from CRP, are useful for predicting survival outcomes of ESCC patients. The predictive capabilities of these indices were augmented when used in combination with pStage.

The application of patient-centered care bundle significantly reduces incidence of perioperative respiratory complications in hip fracture patients aged 80 and over

This study was designed as a pilot test to analyze the effect of patient-centered care (PCC) bundle intervention on perioperative respiratory complications and other outcomes in hip fracture patients aged ≥80. Between Jan 2018 and Dec 2019, 198 patients comprised the routine care group and 187 comprised the PCC bundle group. After propensity score matching, 151 remained in each group. Incidence of perioperative respiratory complications in the PCC bundle group was significantly lower than in the routine care group (all P < 0.05). Furthermore, significant reductions were observed in surgery delay, length of stay, incidence of arrhythmia, hypoproteinemia, and electrolyte disturbance (all P < 0.05) in the PCC bundle group. Age-Adjusted Charlson Comorbidity Index score was related, but only weakly, to length of stay and the number of perioperative complications. These results suggested that the PCC bundle might be a more suitable care modality for patients ≥80 with hip fracture.

Adjuvant treatment and molecular mechanism of probiotic compounds in patients with gastric cancer after gastrectomy

Gastrectomy is the main treatment for gastric cancer (GC) at present. Surgery improves the survival rate of patients, but the complications seriously affect the recovery and lack effective treatment measures. In the present study, probiotic compounds (4 strains; Lactobacillus plantarum MH-301 (CGMCC NO. 18618), L. rhamnosus LGG-18 (CGMCC NO. 14007), L. acidophilus and Bifidobacterium animalis subsp.lactis LPL-RH (CGMCC NO. 4599)), through clinical and animal model verification, were studied to try to find the auxiliary treatment measures after gastrectomy, and explore its potential mechanism. Clinical research results showed that probiotic compounds treatment could significantly lower postoperative inflammation, enhance immunity, resume gut microbiota composition and promote postoperative recovery. The results in rat models indicated that gastrostomy led to the aggravation of inflammation, the impairment of immunity and intestinal barrier, and the disorder of gut microbiota in vivo. Furthermore, probiotic compounds' administration could downregulate the inflammatory and permeability signaling pathways in the intestinal tissue, reduce the levels of proinflammatory factors, maintain the intestinal mucosal barrier and immune function, and recover the disorder of gut microbiota after gastrectomy in rats. Therefore, we conclude that probiotic compounds can restore gut microbiota homeostasis, reduce inflammation, maintain intestinal mucosal barrier and immunity, finally promote recovery after gastrectomy, and is expected to improve the prognosis of patients.

The Clinical Impact of the Age-adjusted Charlson Comorbidity Index on Esophageal Cancer Patients Who Receive Curative Treatment

BACKGROUND/AIM

We investigated the impact of the age-adjusted Charlson comorbidity index (ACCI) on esophageal cancer survival and recurrence after curative treatment.

PATIENTS AND METHODS

This study included 122 patients who underwent curative surgery followed by adjuvant chemotherapy for esophageal cancer between 2005 and 2017. The risk factors for the overall survival (OS) and recurrence-free survival (RFS) were identified.

RESULTS

An ACCI of 5 was regarded as the optimal critical point of classification considering the survival rates. The OS rates at 3 and 5 years after surgery were 64.2% and 54.4% in the low-ACCI group, respectively, and 42.3% and 29.2% in high-ACCI group, respectively (p=0.035). The RFS rates at 3 and 5 years after surgery were 50.2% and 43.6% in the low-ACCI group, respectively, and 28.5% and 21.3% in high-ACCI group, respectively (p=0.021). A multivariate analysis demonstrated that ACCI was a significant independent risk factor for both the OS and RFS.

CONCLUSION

ACCI is a risk factor for survival in patients who undergo curative treatment for esophageal cancer. An effective plan for the perioperative care and surgical strategy should be developed according to ACCI.

Poor nutritional status and sarcopenia influences survival outcomes in gastric carcinoma patients undergoing radical surgery

BACKGROUND

The survival impacts of the prognostic nutritional index (PNI) and sarcopenia have been separately investigated in patients with gastric carcinoma (GC), while the prognostic impact of the combination of them remains to be addressed.

METHODS

In total, 1166 GC patients undergoing radical gastrectomy were retrospectively reviewed. A new prognostic score (PNIS) was developed based on preoperative PNI and sarcopenia; patients with both low PNI (≤44.8) and sarcopenia were allocated a score of 2, and those with only one or neither of these abnormalities were assigned a score of 1 or 0, respectively.

RESULTS

A lower PNI was independently associated with sarcopenia (P = 0.007). There were 704 (60.4%), 356 (30.5%) and 106 (9.1%) patients in the PNIS 0, 1 and 2 groups, respectively. A higher PNIS was associated with advanced age (P < 0.001) and a higher incidence of postoperative complications (P = 0.01). Patients with PNIS 2 showed significantly poorer overall survival (OS) than those with PNIS 1 or 0 (5-year OS; 57.8% vs. 79.2% vs. 91.6%, P < 0.001). Multivariate Cox hazards analysis showed PNIS 2 to be a powerful predictor of poor OS (HR 5.73, P < 0.001) in patients with pStage I disease, while not being independently associated with OS in those with pStage II/III disease. Patients with PNIS 2 had a markedly higher prevalence of non-GC-related death than those with scores of 0-1.

CONCLUSION

The scoring system combining PNI and sarcopenia is useful for predicting survival outcomes, especially non-GC-related death, in patients with early GC, a population with basically good oncological outcomes.