Incidence and Prediction of Unrelated Mortality After Successful Endoscopic Eradication Therapy for Barrett's Neoplasia.

BACKGROUND & AIMS: Follow-up (FU) strategies after endoscopic eradication therapy (EET) for Barrett's neoplasia do not consider the risk of mortality from causes other than esophageal adenocarcinoma (EAC). We aimed to evaluate this risk during long-term FU, and to assess whether the Charlson Comorbidity Index (CCI) can predict mortality. METHODS: We included all patients with successful EET from the nationwide Barrett registry in the Netherlands. Data were merged with National Statistics for accurate mortality data. We evaluated annual mortality rates (AMRs, per 1000 person-years) and standardized mortality ratio for other-cause mortality. Performance of the CCI was evaluated by discrimination and calibration. RESULTS: We included 1154 patients with a mean age of 64 years (±9). During median 59 months (p25-p75 37-91; total 6375 person-years), 154 patients (13%) died from other causes than EAC (AMR, 24.1; 95% CI, 20.5-28.2), most commonly non-EAC cancers (n = 58), cardiovascular (n = 31), or pulmonary diseases (n = 26). Four patients died from recurrent EAC (AMR, 0.5; 95% CI, 0.1-1.4). Compared with the general Dutch population, mortality was significantly increased for patients in the lowest 3 age quartiles (ie, age <71 years). Validation of CCI in our population showed good discrimination (Concordance statistic, 0.78; 95% CI, 0.72-0.84) and fair calibration. CONCLUSION: The other-cause mortality risk after successful EET was more than 40 times higher (48; 95% CI, 15-99) than the risk of EAC-related mortality. Our findings reveal that younger post-EET patients exhibit a significantly reduced life expectancy when compared with the general population. Furthermore, they emphasize the strong predictive ability of CCI for long-term mortality after EET. This straightforward scoring system can inform decisions regarding personalized FU, including appropriate cessation timing. (NL7039).

Long-term outcome following liver transplantation of patients with ACLF grade 3.

BACKGROUND & AIMS: Utility, a major principle for allocation in the context of transplantation, is questioned in patients with acute-on chronic liver failure grade 3 (ACLF-3) who undergo liver transplantation (LT). We aimed to explore long-term outcomes of patients included in a three-centre retrospective French study published in 2017. METHOD: All patients with ACLF-3 (n = 73), as well as their transplanted matched controls with ACLF-2 (n = 145), 1 (n = 119) and no ACLF (n = 292), who participated in the Princeps study published in 2017 were included. We explored 5- and 10-year patient and graft survival rates, causes of death and their predictive factors. RESULTS: Median follow-up of patients with ACLF-3 was 7.5 years. At LT, median MELD was 40. In patients with ACLF-3, 2, 1 and no ACLF, 5-year patient survival rates were 72.6% vs. 69.7% vs. 76.4% vs. 77.0%, respectively (p = 0.31). Ten-year patient survival for ACLF-3 was 56.8% and was not different to other groups (p = 0.37). Leading causes of death in patients with ACLF-3 were infections (33.3%) and cardiovascular events (23.3%). After exclusion of early death, UCLA futility risk score, age-adjusted Charlson comorbidity index and CLIF-C ACLF score were independently associated with 10-year patient survival. Long-term graft survival rates were not different across the groups. Clinical frailty scale and WHO performance status improved over time in patients alive after 5 years. CONCLUSION: 5- and 10-year patient and graft survival rates were not different in patients with ACLF-3 compared to matched controls. 5-year patient survival is higher than the 50%-70% threshold defining the utility of a liver graft. Efforts should focus on candidate selection based on comorbidities, as well as the prevention of infection and cardiovascular events. IMPACT AND IMPLICATIONS: While short-term outcomes following liver transplantation in the most severely ill patients with cirrhosis (acute-on-chronic liver failure grade 3 [ACLF-3]) are known, long-term data are limited, raising questions about the utility of graft allocation in the context of scarce medical resources. This study provides a favourable long-term update, confirming no differences in 5- and 10-year patient and graft survival following liver transplantation in patients with ACLF-3 compared to matched patients with ACLF-2, ACLF-1, and no-ACLF. The study highlights the risk of dying from infection and cardiovascular causes in the long-term and identifies scores including comorbidity evaluation, such as the age-adjusted Charlson comorbidity index, as independently associated with long-term survival. Therefore, physicians should consider the cumulative burden of comorbidities when deciding whether to transplant these patients. Additionally, after transplantation, the study encourages mitigating infectious risk with tailored immunosuppressive regimens and tightly managing cardiovascular risk over time.

Data-driven patient stratification of UK Biobank cohort suggests five endotypes of multimorbidity.

Multimorbidity generally refers to concurrent occurrence of multiple chronic conditions. These patients are inherently at high risk and often lead a poor quality of life due to delayed treatments. With the emergence of personalized medicine and stratified healthcare, there is a need to stratify patients right at the primary care setting. Here we developed multimorbidity analysis pipeline (MulMorPip), which can stratify patients into multimorbid subgroups or endotypes based on their lifetime disease diagnosis and characterize them based on demographic features and underlying disease-disease interaction networks. By implementing MulMorPip on UK Biobank cohort, we report five distinct molecular subclasses or endotypes of multimorbidity. For each patient, we calculated the existence of broad disease classes defined by Charlson's comorbidity classification using the International Classification of Diseases-10 encoding. We then applied multiple correspondence analysis in 77 524 patients from UK Biobank, who had multimorbidity of more than one disease, which resulted in five multimorbid clusters. We further validated these clusters using machine learning and were able to classify 20% model-blind test set patients with an accuracy of 97% and an average Jaccard similarity of 84%. This was followed by demographic characterization and development of interlinking disease network for each cluster to understand disease-disease interactions. Our identified five endotypes of multimorbidity draw attention to dementia, stroke and paralysis as important drivers of multimorbidity stratification. Inclusion of such patient stratification at the primary care setting can help general practitioners to better observe patients' multiple chronic conditions, their risk stratification and personalization of treatment strategies.

Role of comorbidities in epilepsy surgery outcomes of older adults.

We lack knowledge about prognostic factors of resective epilepsy surgery (RES) in older adults (≥60 years), especially the role of comorbidities, which are a major consideration in managing the care of people with epilepsy (PWE). We analyzed a single-center cohort of 94 older adults (median age = 63.5 years, 52% females) who underwent RES between 2000 and 2021 with at least 6 months of postsurgical follow-up. Three fourths of the study cohort had lesional magnetic resonance imaging and underwent temporal lobectomy. Fifty-four (57%) PWE remained seizure-free during a median follow-up of 3.5 years. Cox proportional hazard multivariable analysis showed that aura (hazard ratio [HR] = .52, 95% confidence interval [CI] = .27-1.00), single ictal electroencephalographic pattern (HR = .33, 95% CI = .17-.660), and Elixhauser Comorbidity Index (HR = 1.05, 95% CI = 1.00-1.10) were independently associated with seizure recurrence at last follow-up. A sensitivity analysis using the Charlson Combined Score (HR = 1.38, 95% CI = 1.03-1.84, p = .027) confirmed the association of comorbidities with worse seizure outcome. Our findings provide a framework for a better informed discussion about RES prognosis in older adults. More extensive, multicenter cohort studies are needed to validate our findings and reduce hesitancy in pursuing RES in suitable older adults.

The nonadherence and risk factors of eradication failure by sequential therapy as first-line anti-Helicobacter pylori treatment in real-world clinical practice.

BACKGROUND: The eradication rates of sequential therapy are high in clinical trials; however, the adherence for follow-up or the patient population in a real-world setting might be different from those in trails. This study investigates the effectiveness of sequential therapy in a real-world setting and the factors that lead to treatment failure. MATERIALS AND METHODS: In this retrospective study, patients receiving sequential therapy as a first-line anti-Helicobacter pylori (H. pylori) treatment in a real-world setting were reviewed. The age adjusted Charlson Comorbidity Index (age-CCI) and baseline variety of medications were reviewed to determine factors correlated with nonadherence for post-treatment testing and H. pylori eradication failure. RESULTS: A total of 1053 patients were reviewed. A total of 579 patients receiving sequential therapy were included in the analyses. Among them, 462 received post-treatment testing and were placed into the follow-up group. Thus, the post-treatment testing rate was 79.8%. Stroke was an independent factor of nonadherence for post-treatment testing. In the follow-up group, the eradication failure rate was 8.2%. Female sex (odds ratio [OR] 2.41 [95% CI 1.16-5.03], p = 0.02) and age-CCI ≥2 (OR 3.16 [1.05-9.48], p = 0.04) were independent factors of H. pylori eradication failure. The eradication failure rates were 14.4%, 7.8%, 7.1%, and 3.1% for the females with age-CCI ≥2, females with age-CCI <2, males with age-CCI ≥2, and males with age-CCI <2 subgroups, respectively (p = 0.027). CONCLUSIONS: In a real-world setting, the adherence rate of post-treatment testing for sequential therapy as a first-line anti-H. pylori treatment was found to be suboptimal. Female sex and age-CCI ≥2 were independent factors of eradication failure.

The prognostic value of age-adjusted Charlson comorbidity index in laparoscopic resection for hilar cholangiocarcinoma.

The prognostic role of the Age-Adjusted Charlson Comorbidity Index (ACCI) in hilar cholangiocarcinoma patients undergoing laparoscopic resection is unclear. To evaluate ACCI's effect on overall survival (OS) and recurrence-free survival (RFS), we gathered data from 136 patients who underwent laparoscopic resection for hilar cholangiocarcinoma at Zhengzhou University People's Hospital between 1 June 2018 and 1 June 2022. ACCI scores were categorized into high ACCI (ACCI > 4.0) and low ACCI (ACCI ≤ 4.0) groups. We examined ACCI's association with OS and RFS using Cox regression analyses and developed an ACCI-based nomogram for survival prediction. Our analysis revealed that higher ACCI scores (ACCI > 4.0) (HR = 2.14, 95%CI: 1.37-3.34) were identified as an independent risk factor significantly affecting both OS and RFS in postoperative patients with hilar cholangiocarcinoma (p < 0.05). TNM stage III-IV (HR = 7.42, 95%CI: 3.11-17.68), not undergoing R0 resection (HR = 1.58, 95%CI: 1.01-2.46), hemorrhage quantity > 350 mL (HR = 1.92, 95%CI: 1.24-2.97), and not receiving chemotherapy (HR = 1.89, 95%CI: 1.21-2.95) were also independent risk factors for OS. The ACCI-based nomogram accurately predicted the 1-, 2-, and 3-year OS rates, with Area Under the Curve (AUC) values of 0.818, 0.844, and 0.924, respectively. Calibration curves confirmed the nomogram's accuracy, and decision curve analysis highlighted its superior predictive performance. These findings suggest that a higher ACCI is associated with a worse prognosis in patients undergoing laparoscopic resection for hilar cholangiocarcinoma. The ACCI-based nomogram could aid clinicians in making accurate predictions about patient survival and facilitate individualized treatment planning.

Is Cholecystectomy Necessary after Choledocholithiasis Treatment for the Elderly or Patients with Many Comorbidities?

INTRODUCTION: We evaluated the prognosis after endoscopic treatment for choledocholithiasis, particularly in patients with borderline tolerance to surgery. Stone removal and cholecystectomy are generally recommended for patients with choledocholithiasis combined with gallstones to prevent recurrent biliary events. However, the prognosis after choledocholithiasis treatment in patients with borderline tolerance to surgery, such as the elderly or those with many comorbidities, remains controversial. METHODS: We retrospectively analyzed data from patients with choledocholithiasis treated at our facility between January 2012 and December 2021. Patients who underwent endoscopic sphincterotomy were dichotomized into the cholecystectomy (CHOLE) and conservation (CONS) groups depending on whether cholecystectomy was performed, and their prognoses were subsequently compared. Furthermore, we performed a logistic regression analysis of the factors contributing to recurrent biliary events in patients with high age-adjusted Charlson Comorbidity Index (aCCI) scores. RESULTS: Of 169 participants, 110 had gallstones and were divided into the CHOLE (n = 56) and CONS (n = 54) groups. The CONS group was significantly ordered, had more comorbidities, and higher aCCI scores, whereas the CHOLE group had fewer recurrent biliary events, although not significant (p = 0.122). No difference was observed in the recurrent incidence of grade ≥2 biliary infections and mortality related to biliary events between the groups. In patients with aCCI scores ≥5, conservation without cholecystectomy was not an independent risk factor for recurrent biliary events. CONCLUSION: Cholecystectomy after choledocholithiasis treatment prevents recurrent biliary events, but conservation without cholecystectomy is a feasible option for patients with high aCCI scores.

Impact of Functional Status on Development of Clostridioides difficile Infection and Increase in Inhospital Mortality among Antibiotic Users.

INTRODUCTION: Functional status is one of the surrogates of advanced age, an established risk factor for Clostridioides difficile infection (CDI). We aimed to investigate the usefulness of functional status in the clinical management of CDI. METHODS: We enrolled all hospitalized adult patients receiving antibiotics from a retrospective hospital-based cohort in Japan between 2016 and 2020. Using the Barthel index (BI), which is an objective scale of functional status, we investigated the association of BI with developing CDI and its impact on inhospital mortality in patients with CDI. RESULTS: We enrolled 17,131 patients with 100 cases of CDI. Multivariable analysis revealed that lower BI (≤25) was an independent risk factor for developing CDI (adjusted odds ratio, 4.11; 95% confidence interval, 2.62-6.46). Furthermore, a combination of BI and Charlson comorbidity index (CCI) showed an adjusted odds ratio of 36.40 (95% confidence interval, 17.30-76.60) in the highest risk group. A high-risk group according to the combination of BI and CCI was estimated to have significantly higher inhospital mortality in patients with CDI using the Kaplan-Meier method (p = 0.017). A combination of lower BI and higher CCI was an independent predictor of inhospital mortality even in the multivariable Cox regression model (adjusted hazard ratio, 3.00; 95% confidence interval, 1.01-8.88). CONCLUSIONS: Assessment of functional status, especially combined with comorbidities, was significantly associated with developing CDI and may also be useful in predicting inhospital mortality.

A comparative analysis of Charlson's weighted index of comorbidity and perforated peptic ulcer scores in predicting postoperative mortality and high comprehensive complication index.

BACKGROUND: Limited data exists on Charlson's weighted index of comorbidity (WIC) predictability for postoperative outcomes following perforated peptic ulcer (PPU) surgery. This study assesses the utility of WIC and other predictive scores in forecasting both postoperative mortality and morbidity in PPU. MATERIALS & METHODS: Patients with PPUs operated between 2018 and 2021 in a Malaysian tertiary referral center were included. Clinical data were retrospectively analyzed for association with mortality and morbidity measured with the Comprehensive Complication Index (CCI). Predictability of WIC and other predictors were examined using area under receiver-operator characteristic (ROC) curve (AUC). RESULTS: Among 110 patients included, 18 died (16.4%) and 36 (32.7%) had significant morbidity postoperatively (High CCI, ≥26.2). Both mortality and high CCI were associated with age >65 years, female sex, comorbidities (diabetes mellitus, hypertension, and renal disease), and American Society of Anesthesiologist score >2. Most patients who died had renal dysfunction, metabolic acidosis, lactate >2 mmol/L upon presentation preoperatively. While surgery >24 h after presentation correlated with mortality and high CCI, the benefit of earlier surgery <6 h or <12 h was not demonstrated. WIC (AUC, 0.89; 95% CI, 0.81-0.99) showed similar predictability to Peptic Ulcer Perforation (PULP) (AUC, 0.97; 95% CI, 0.93-1.00) for mortality. PULP effectively predicted high CCI (AUC, 0.83; 95% CI, 0.73-0.93; p < 0.001). CONCLUSION: WIC is valuable in predicting mortality, highlighting the importance of comorbidity in risk assessment. PULP score was effective in predicting both mortality and high CCI. Early identification of patients with high perioperative risk will facilitate patients' triage for escalated care, leading to a better outcome.

The combined use of the Charlson Comorbidity Index and National Early Warning Score 2 helps predict the prognosis of candidemia.

BACKGROUND: The National Early Warning Score 2 (NEWS2) standardizes assessment and response to acute illnesses using vital signs. Whether NEWS2 is useful in predicting the prognosis of candidemia remains to be determined. METHODS: Our study, conducted as a rigorous and retrospective analysis, examined patients with candidemia who were hospitalized between January 2014 and December 2023. We assessed candidemia severity using the Pitt Bacteremia Score (PBS) and NEWS2, while the Charlson Comorbidity Index (CCI) was used to assess underlying medical conditions. The endpoint was all-cause mortality within 30 days of candidemia onset, ensuring comprehensive evaluation of the patient's prognosis. RESULTS: Overall, 93 patients with candidemia were included. The 30-day all-cause mortality rate was 29.0 %. The area under the receiver operating characteristic curve (AUC) for CCI, PBS, and NEWS2 were 0.87 (95 % confidence interval [CI]: 0.80-0.95), 0.75 (95 % CI: 0.66-0.85), and 0.92 (95 % CI: 0.87-0.97), respectively, for predicting the 30-day mortality in patients with candidemia. The AUC values for CCI combined with PBS and NEWS2 were 0.89 (95 % CI: 0.83-0.96) and 0.96 (95 % CI: 0.93-1.00) for predicting the 30-day mortality in candidemia. Among the items that were significant in the univariate analysis, multivariate analysis showed that the combination of NEWS2 ≥ 10 and CCI ≥4 was the helpful prognostic factor for 30-day mortality. CONCLUSIONS: The combination of NEWS2 ≥ 10 and CCI ≥4 scores may be useful in predicting the risk of 30-day mortality in patients with candidemia.

Age-adjusted Charlson comorbidity index is associated with the risk of osteoporosis in older fall-prone men: a retrospective cohort study.

BACKGROUND: There is growing evidence linking the age-adjusted Charlson comorbidity index (aCCI), an assessment tool for multimorbidity, to fragility fracture and fracture-related postoperative complications. However, the role of multimorbidity in osteoporosis has not yet been thoroughly evaluated. We aimed to investigate the association between aCCI and the risk of osteoporosis in older adults at moderate to high risk of falling. METHODS: A total of 947 men were included from January 2015 to August 2022 in a hospital in Beijing, China. The aCCI was calculated by counting age and each comorbidity according to their weighted scores, and the participants were stratified into two groups by aCCI: low (aCCI < 5), and high (aCCI ≥5). The Kaplan Meier method was used to assess the cumulative incidence of osteoporosis by different levels of aCCI. The Cox proportional hazards regression model was used to estimate the association of aCCI with the risk of osteoporosis. Receiver operating characteristic (ROC) curve was adapted to assess the performance for aCCI in osteoporosis screening. RESULTS: At baseline, the mean age of all patients was 75.7 years, the mean BMI was 24.8 kg/m2, and 531 (56.1%) patients had high aCCI while 416 (43.9%) were having low aCCI. During a median follow-up of 6.6 years, 296 participants developed osteoporosis. Kaplan-Meier survival curves showed that participants with high aCCI had significantly higher cumulative incidence of osteoporosis compared with those had low aCCI (log-rank test: P < 0.001). When aCCI was examined as a continuous variable, the multivariable-adjusted model showed that the osteoporosis risk increased by 12.1% (HR = 1.121, 95% CI 1.041-1.206, P = 0.002) as aCCI increased by one unit. When aCCI was changed to a categorical variable, the multivariable-adjusted hazard ratios associated with different levels of aCCI [low (reference group) and high] were 1.00 and 1.557 (95% CI 1.223-1.983) for osteoporosis (P <  0.001), respectively. The aCCI (cutoff ≥5) revealed an area under ROC curve (AUC) of 0.566 (95%CI 0.527-0.605, P = 0.001) in identifying osteoporosis in older fall-prone men, with sensitivity of 64.9% and specificity of 47.9%. CONCLUSIONS: The current study indicated an association of higher aCCI with an increased risk of osteoporosis among older fall-prone men, supporting the possibility of aCCI as a marker of long-term skeletal-related adverse clinical outcomes.

Comorbidity in lipoprotein apheresis: Their role in the era of new lipid-lowering therapies.

BACKGROUND: Despite advance in pharmacotherapy of lipid disorders, lipoprotein apheresis (LA) plays a leading role in the management of severe hypercholesterolemia and in atherosclerosis prevention. METHODS: Aim of this study was to retrospectively evaluate Charlson Comorbidity Index (CCI), presence of major comorbidity, and/or concomitant polypharmacy (definite as 5+ drugs daily) in patients with inherited dyslipidemias on chronic LA. RESULTS: Since 1994, we performed more than 500 LA treatment/year and followed a total of 83 patients (age 56 [47-65] years, male 75%). In subjects with more than 5 years of LA treatment (38 patients, age 54 [45-62] years, male 66%), at the end of the observation time (9 [7-16] years), patients had higher CCI, polypharmacy, anemia, heart failure, peptic ulcer disease, and benign prostatic hyperplasia. DISCUSSION: Even in the era of new lipid-lowering therapies, the LA treatment established itself as a safe and lifesaving intervention. Patients on chronic LA require a multidisciplinary approach to address their comorbidity and the apheresis unit's medical staff (doctors and nurses) play a pivotal role creating a bridge toward the general practitioner and other specialists for overcoming clinical issues.

Nutrient intake and risk of multimorbidity: a prospective cohort study of 25,389 women.

BACKGROUND: Multimorbidity is becoming an increasingly serious public health challenge in the aging population. The impact of nutrients on multimorbidity remains to be determined and was explored using data from a UK cohort study. METHOD: Our research analysis is mainly based on the data collected by the United Kingdom Women's Cohort Study (UKWCS), which recruited 35,372 women aged 35-69 years at baseline (1995 to 1998), aiming to explore potential associations between diet and chronic diseases. Daily intakes of energy and nutrients were estimated using a validated 217-item food frequency questionnaire at recruitment. Multimorbidity was assessed using the Charlson comorbidity index (CCI) through electronic linkages to Hospital Episode Statistics up to March 2019. Cox's proportional hazards models were used to estimate associations between daily intakes of nutrients and risk of multimorbidity. Those associations were also analyzed in multinomial logistic regression as a sensitivity analysis. In addition, a stratified analysis was conducted with age 60 as the cutoff point. RESULTS: Among the 25,389 participants, 7,799 subjects (30.7%) were confirmed with multimorbidity over a median follow-up of 22 years. Compared with the lowest quintile, the highest quintile of daily intakes of energy and protein were associated with 8% and 12% increased risk of multimorbidity respectively (HR 1.08 (95% CI 1.01, 1.16), p-linearity = 0.022 for energy; 1.12 (1.04, 1.21), p-linearity = 0.003 for protein). Higher quintiles of daily intakes of vitamin C and iron had a slightly lowered risk of multimorbidity, compared to the lowest quintile. A significantly higher risk of multimorbidity was found to be linearly associated with higher intake quintiles of vitamin B12 and vitamin D (p-linearity = 0.001 and 0.002, respectively) in Cox models, which became insignificant in multinomial logistic regression. There was some evidence of effect modification by age in intakes of iron and vitamin B1 associated with the risk of multimorbidity (p-interaction = 0.006 and 0.025, respectively). CONCLUSIONS: Our findings highlight a link between nutrient intake and multimorbidity risk. However, there is uncertainty in our results, and more research is needed before definite conclusions can be reached.

Multivariate analysis of prognostic factors in patients with lip squamous cell carcinoma after surgery.

BACKGROUND: Lip squamous cell carcinoma (LSCC) was one of the most common cancer types of head and neck tumors. This study aimed to find more predictors of the prognosis in postoperative LSCC patients. METHODS: A total of 147 LSCC patients between June 2012 and June 2018 were collected from two tertiary care institutions. There were 21 clinicopathological factors included and analyzed in our study. The univariate and multivariate Cox regression analyses were performed to find the independent prognostic factors for predicting progression-free survival (PFS) and overall survival (OS) in postoperative LSCC patients. The role of adjuvant radiotherapy in various subgroups was displayed by Kaplan-Meier plots. RESULTS: The 1-, 3-, and 5-year PFS of postoperative LSCC patients were 88.4%, 70.1%, and 57.8%, respectively. Similarly, the 1-, 3-, and 5-year OS of postoperative LSCC patients were 94.6%, 76.9%, and 69.4%, respectively. The results suggested that postoperative LSCC patients with age at diagnosis ≥ 70 years, grade with moderate or poor differentiate, the American Joint Committee on Cancer (AJCC) stage IV, higher systemic immune-inflammation index (SII), surgical margin < 5, and age-adjusted Charlson Comorbidity Index (ACCI) ≥ 5 tend to have a poorer PFS (all P < 0.05). Besides, postoperative LSCC patients with age at diagnosis ≥ 70 years, AJCC stage IV, higher GPS, higher SII, and ACCI ≥ 5 tend to have a worse OS (all P < 0.05). Additionally, postoperative patients with LSCC in the subgroup of ACCI < 5 and AJCC III-IV stage was more likely to benefit from adjuvant radiotherapy, but not for the other subgroups. CONCLUSION: We identified a series of significant immune-inflammation-related and comorbidity-related clinicopathological factors associated with the prognosis of postoperative LSCC patients by local data from two tertiary care institutions in China, which can be helpful for patients and surgeons to pay more attention to nutrition, inflammation, and complications and finally obtained a better prognosis.

Correlation between Charlson comorbidity index and surgical prognosis in elderly patients with femoral neck fractures: a retrospective study.

OBJECTIVE: Femoral neck fractures (FNF) are known to have significant morbidity and mortality rates. Multiple chronic conditions (MCC) are defined as the presence of two or more chronic diseases that greatly affect the quality of life in older adults. The aim of this study is to explore the impact of MCC and Charlson comorbidity index (CCI) on surgical outcomes in patients with FNF. METHODS: Patients with FNF who underwent joint replacement surgery were selected for this study. Patients who had two or more diseases simultaneously were divided into two groups: the MCC group and the non-MCC (NMCC) group. The CCI was calculated to assess the severity of patients' comorbidities in the MCC group. Baseline data, surgical details, and prognosis-related indicators were analyzed and compared between the two patient groups. Spearman correlation analysis was performed to assess the relationship between CCI and length of hospital stay, Harris score, skeletal muscle index (SMI), and age. Univariate and multivariate logistic regression analysis was conducted to identify the risk factors for mortality in FNF patients at 1 and 5 years after surgery. RESULTS: A total of 103 patients were included in the MCC group, while the NMCC group consisted of 40 patients. However, the patients in the MCC group were found to be older, had a higher incidence of sarcopenia, and lower SMI values (p < 0.001). Patients in the MCC group had longer hospitalization times, lower Harris scores, higher intensive care unit (ICU) admission rates, and higher complication rates (p = 0.045, p = 0.035, p = 0.019, p = 0.010). Spearman correlation analysis revealed that CCI was positively correlated with hospitalization and age (p < 0.001, p < 0.001), while it was negatively correlated with Harris score and SMI value (p < 0.001, p < 0.001). Univariate and multivariate logistic regression analysis demonstrated that MCC patients had higher 1-year and 5-year mortality rates. Hospitalization time was identified as a risk factor for death in FNF patients 1 year after joint replacement (p < 0.001), whereas CCI and age were identified as risk factors for death 5 years after surgery (p < 0.001, p < 0.001). Kaplan-Meier survival analysis results showed that the difference in death time between the two groups of patients with MCC and NMCC was statistically significant (p < 0.001). Cox proportional hazard model analysis showed that CCI, age and SMI were risk factors affecting patient death. CONCLUSION: The surgical prognosis of patients with MCC, CCI and FNF is related. The higher the CCI, the worse the patient's function and the higher the long-term risk of death.

Risk Factors Associated With Quadriceps Tendon Extensor Mechanism Disruption Following Total Knee Arthroplasty.

BACKGROUND: Quadriceps tendon extensor mechanism disruption is an infrequent but devastating complication after total knee arthroplasty (TKA). Our knowledge of specific risk factors for this complication is limited by the current literature. Thus, this study aimed to identify potential risk factors for quadriceps tendon extensor mechanism disruption following TKA. METHODS: A retrospective cohort analysis was performed using the PearlDiver Administrative Claims Database. Patients undergoing TKA without a prior history of quadriceps tendon extensor mechanism disruption were identified. Quadriceps tendon extensor mechanism disruption included rupture of the quadriceps tendon, patellar tendon, or fracture of the patella. Patients who had a minimum of 5 years of follow-up after TKA were included. A total of 126,819 patients were included. Among them, 517 cases of quadriceps tendon extensor mechanism disruption occurred (incidence 0.41%). Hypothesized risk factors were compared between those who had postoperative quadriceps tendon extensor mechanism disruption and those who did not. RESULTS: On multivariate analysis, increased Charlson Comorbidity Index (odds ratio (OR): 1.10, 95% confidence interval (CI) [1.07 to 1.13]; P < .001), obesity (OR: 1.49, 95% CI [1.24 to 1.79]; P < .001), and fluoroquinolone use any time after TKA (OR: 1.24, 95% CI [1.01 to 1.52]; P = .036) were significantly associated with quadriceps tendon extensor mechanism disruption. CONCLUSIONS: Our study identified the incidence of quadriceps tendon extensor mechanism disruption following TKA as 0.41%. Identified risk factors for quadriceps tendon extensor mechanism disruption after TKA include an increased Charlson Comorbidity Index, obesity, and use of fluoroquinolones postoperatively.

Can The Systemic Immune-Inflammation Index (SII) and Charlson Comorbidity Index (CCI) be used to predict mortality in patients with necrotizing fasciitis?

PURPOSE: This study aimed to determine the impact of mortality and morbidity indices on the diagnosis and prognosis of patients suffering from necrotizing fasciitis. METHODS: A retrospective analysis was performed on 41 patients (26 females, 15 males) with necrotizing fasciitis (NF). The SII (Systemic Immune-Inflammation Index) was computed using the formula SII = (P × N)/L, where P, N, and L measure the counts of peripheral platelets, neutrophils, and lymphocytes, respectively. This study evaluated the clinicopathological characteristics and follow-up information to assess the comparative effectiveness of SII, CCI (Charlson Comorbidity Index), and LRINEC (Laboratory Risk Indicator for Necrotizing Fasciitis) scores as mortality and morbidity indices for patients with NF. RESULTS: The optimal cut-off for SII was determined to be 455. The SII value in the group with mortality was significantly higher compared to the group without mortality (p < 0.05). The CCI value in the group with mortality was significantly higher than the group without mortality (p < 0.05). The SII and CCI values were found to be effective in distinguishing between patients who suffered mortality and those who did not. CONCLUSION: SII is a powerful tool for predicting mortality in patients with necrotizing fasciitis (NF). The SII index provides a novel, easily accessible, and inexpensive indicator for monitoring the progress and predicting the survival of patients with NF.

Comorbidity burden and outcomes after mechanical thrombectomy for large vessel occlusion: A retrospective analysis.

OBJECTIVES: Patients with acute ischemic stroke (AIS) often have an accumulation of pre-existing comorbidities, but its clinical impact on outcomes after mechanical thrombectomy (MT) remains unknown. Therefore, we examined whether comorbidity burden before AIS onset could predict clinical outcomes after MT. METHODS: In this retrospective cohort, we enrolled consecutive patients with community-onset AIS who underwent MT between April 2016 and December 2021. To evaluate each patient's comorbidity burden, we calculated Charlson comorbidity index (CCI), then classified the patients into the High CCI (≥ 3) and the Low CCI (< 3) groups. The primary outcome was a good neurological outcome at 90 days, defined as a modified Rankin scale 0-2 or no worse than the previous daily conditions. All-cause mortality at 90 days and hemorrhagic complications after MT were also compared between the two groups. We estimated the odds ratios and their confidence intervals using a multivariable logistic regression model. RESULTS: A total of 388 patients were enrolled, of whom 86 (22.2%) were classified into the High CCI group. Patients in the High CCI group were less likely to achieve a good neurological outcome (adjusted odds ratio of 0.26 [95% confidence interval, 0.12-0.58]). Moreover, symptomatic intracranial hemorrhage was more common in the High CCI (14.0% vs. 4.6%; adjusted odds ratio, 4.10 [95% confidence interval, 1.62-10.3]). CONCLUSIONS: Comorbidity burden assessed by CCI was associated with clinical outcomes after MT. CCI has the potential to become a simple and valuable tool for predicting neurological prognosis among patients with AIS and MT.

Nomogram based on immune-inflammatory indicators and age-adjusted charlson comorbidity index score to predict prognosis of postoperative parotid gland carcinoma patients.

BACKGROUND: Parotid gland carcinoma (PGC) is a rare malignant tumor. The purpose of this study was to investigate the role of immune-inflammatory-nutrition indicators and age-adjusted Charlson comorbidity index score (ACCI) of PGC and develop the nomogram model for predicting prognosis. METHOD: All patients diagnosed with PGC in two tertiary hospitals, treated with surgical resection, from March 2012 to June 2018 were obtained. Potential prognostic factors were identified by univariate and multivariate Cox regression analyses. The nomogram models were established based on these identified independent prognostic factors. The performance of the developed prognostic model was estimated by related indexes and plots. RESULT: The study population consisted of 344 patients with PGC who underwent surgical resection, 285 patients without smoking (82.8%), and 225 patients (65.4%) with mucoepidermoid carcinoma, with a median age of 50.0 years. American Joint Committee on Cancer (AJCC) stage (p < 0.001), pathology (p = 0.019), tumor location (p < 0.001), extranodal extension (ENE) (p < 0.001), systemic immune-inflammation index (SII) (p = 0.004), prognostic nutrition index (PNI) (p = 0.003), ACCI (p < 0.001), and Glasgow prognostic Score (GPS) (p = 0.001) were independent indicators for disease free survival (DFS). Additionally, the independent prognostic factors for overall survival (OS) including AJCC stage (p = 0.015), pathology (p = 0.004), tumor location (p < 0.001), perineural invasion (p = 0.009), ENE (p < 0.001), systemic immune-inflammation index (SII) (p = 0.001), PNI (p = 0.001), ACCI (p = 0.003), and GPS (p = 0.033). The nomogram models for predicting DFS and OS in PGC patients were generated based on these independent risk factors. All nomogram models show good discriminative capability with area under curves (AUCs) over 0.8 (DFS 0.802, and OS 0.825, respectively). Decision curve analysis (DCA), integrated discrimination improvement (IDI), and net reclassification index (NRI) show good clinical net benefit of the two nomograms in both training and validation cohorts. Kaplan-Meier survival analyses showed superior discrimination of DFS and OS in the new risk stratification system compared with the AJCC stage system. Finally, postoperative patients with PGC who underwent adjuvant radiotherapy had a better prognosis in the high-, and medium-risk subgroups (p < 0.05), but not for the low-risk subgroup. CONCLUSION: The immune-inflammatory-nutrition indicators and ACCI played an important role in both DFS and OS of PGC patients. Adjuvant radiotherapy had no benefit in the low-risk subgroup for PGC patients who underwent surgical resection. The newly established nomogram models perform well and can provide an individualized prognostic reference, which may be helpful for patients and surgeons in proper follow-up strategies.

Significance of Charlson co-morbidity index as predictive factor for post-op complications after radical nephrectomy.

The current study planned to explore the correlation between an elevated Charlson Comorbidity Index score and post-operative complications following radical nephrectomy in patients with renal cell carcinoma. A total of 70 patients aged 30-80 years undergoing radical nephrectomy were categorised into low Charlson Comorbidity Index score <4 group A and high score >4 group B. Post-operatively, complications were noted in 21(30%) patients, with higher grades more prevalent in the group B patients (relative risk: 1.96, p=0.004). The finding underscored the importance of considering comorbidities in assessing the risk of complications following radical nephrectomy.