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.

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.

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.

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.

Association of high-risk comorbidity with overall survival among patients with gastric cancer and its sex-specific differences in China: a retrospective observational cohort study.

BACKGROUND: Concomitant diseases often occur in cancer patients and are important in decision-making regarding treatments. However, information regarding the prognostic relevance of comorbidities for mortality risk is still limited among Chinese gastric cancer (GC) patients. This study aimed to investigate the association between comorbidities and 3-year mortality risk. METHODS: This retrospective study enrolled 376 GC patients undergoing radical gastrectomy at the Affiliated Zhongshan Hospital of Dalian University from January 2011 to December 2019. Demographic and clinicopathological information and treatment outcomes were collected. Patients were divided into low-, moderate- and high-risk comorbidity groups based on their Charlson Comorbidity Index (CCI) and age-adjusted CCI (ACCI) scores. Kaplan-Meier survival and Cox regression analyses were used to examine 3-year overall survival (OS) and mortality risk for each group. RESULTS: The median follow-up time was 43.5 months, and 40.2% (151/376) of GC patients had died at the last follow-up. There were significant differences in OS rates between ACCI-based comorbidity groups (76.56; 64.51; 54.55%, log-rank P = 0.011) but not between CCI-based comorbidity groups (log-rank P = 0.16). The high-risk comorbidity group based on the ACCI remained a significant prognostic factor for 3-year OS in multivariate analysis, with an increased mortality risk (hazard ratio [HR], 1.99; 95% CI, 1.15-3.44). Subgroup analysis revealed that this pattern only held for male GC patients but not for female patients. CONCLUSION: The present study suggested that high-risk comorbidities were significantly associated with a higher mortality risk, particularly in Chinese male GC patients. Moreover, the ACCI score was an independent prognostic factor of long-term mortality.

Real-World Predictors of Severe Neutropenia Associated with Palbociclib and Endocrine Therapy for Metastatic Breast Cancer in Japanese Patients.

Therapy for patients of metastatic breast cancer based on palbociclib, a cyclin-dependent kinase 4/6 inhibitor, has been approved in Japan. However, the risk factors for palbociclib-induced severe neutropenia in Japanese patients are rarely reported. Hence, the present study is aimed to identify the risk factors for adverse events requiring palbociclib dose reduction or discontinuation, and to identify the factors necessary to identify a more stable strategy for treatment continuation. This retrospective cohort analysis included patients with advanced breast cancer treated with 125 mg/d palbociclib. We demonstrated that severe neutropenia required significant dose reduction or therapy cessation. Most (77%) of the patients had severe neutropenia within the three courses. Risk factors for grade 3 or higher included low neutrophil counts (< 3250 /µL) before treatment [odds ratio (OR) = 9.10, 95% confidence interval (CI) (2.80-29.41), p < 0.001] and high age-adjusted Charlson comorbidity index (> 9) [OR = 1.64, 95% CI (1.09-2.48), p = 0.018]. Thus, low baseline neutrophil counts and high values for Age-adjusted Charlson comorbidity index are prospective predictive markers for palbociclib-induced severe neutropenia.

Clinical significance of the preoperative prognostic nutritional index on age/comorbidity burdens in patients with resectable non-small cell lung cancer.

PURPOSE: Objective nutritional scoring systems using preoperative blood samples have shown the potential to predict the postoperative outcomes of patients with non-small cell lung cancer (NSCLC). However, it remains unclear whether the prognostic impact depends on age and comorbid burdens. We conducted this study to validate the impact of preoperative nutritional status, stratified with age and comorbidity. METHODS: We reviewed the preoperative prognostic nutritional index (PNI) and postoperative outcomes of 713 consecutive patients with completely resected NSCLC. RESULTS: We identified the optimal cutoff values of the PNI as 46. Significantly higher postoperative complication rates and worse survival rates were observed in the low PNI (≤ 46) group, regardless of age/comorbidity burdens. Multivariate analysis showed that a low PNI (≤ 46) was an independent prognostic factor for poor overall survival (hazard ratio: 2.5). A matched-pair analysis gave consistent results, showing that a low PNI (≤ 46) was an independent prognostic factor for poor overall survival (OS; hazard ratio: 1.8) and recurrence-free survival (RFS; hazard ratio: 1.6). CONCLUSION: Nutritional status, indexed by the PNI, is a strong prognostic factor for the postoperative outcomes of patients undergoing curative resection for NSCL, regardless of age/comorbidity burdens.

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.

Age-adjusted Charlson comorbidity index in recurrent glioblastoma: a new prognostic factor?

BACKGROUND: For recurrent glioblastoma (GB) patients, several therapy options have been established over the last years such as more aggressive surgery, re-irradiation or chemotherapy. Age and the Karnofsky Performance Status Scale (KPSS) are used to make decisions for these patients as these are established as prognostic factors in the initial diagnosis of GB. This study's aim was to evaluate preoperative patient comorbidities by using the age-adjusted Charlson Comorbidity Index (ACCI) as a prognostic factor for recurrent GB patients. METHODS: In this retrospective analysis we could include 123 patients with surgery for primary recurrence of GB from January 2007 until December 2016 (43 females, 80 males, mean age 57 years (range 21-80 years)). Preoperative age, sex, ACCI, KPSS and adjuvant treatment regimes were recorded for each patient. Extent of resection (EOR) was recorded as a complete/incomplete resection of the contrast-enhancing tumor part. RESULTS: Median overall survival (OS) was 9.0 months (95% CI 7.1-10.9 months) after first re-resection. Preoperative KPSS > 80% (P < 0.001) and EOR (P = 0.013) were associated with significantly improved survival in univariate analysis. Including these factors in multivariate analysis, preoperative KPSS < 80 (HR 2.002 [95% CI: 1.246-3.216], P = 0.004) and EOR are the only significant prognostic factor (HR 1.611 [95% CI: 1.036-2.505], P = 0.034). ACCI was not shown as a prognostic factor in univariate and multivariate analyses. CONCLUSION: For patients with surgery for recurrent glioblastoma, the ACCI does not add further information about patient's prognosis besides the well-established KPSS and extent of resection.

Age-Adjusted Charlson Comorbidity Index Predicts Survival in Endometrial Cancer Patients.

OBJECTIVE: Comorbidity scores are increasingly used to reduce potential confounding in oncologic research. This is of paramount importance in endometrial cancer (EC) since it is characterized by quite indolent behavior. Here, we aim to evaluate the impact of various comorbidities and concurrent medications used on survival outcomes, adopting the age-adjusted Charlson comorbidity index (A-CCI). DESIGN: This is an observational study. Charts of 257 EC patients were retrieved. METHODS: We retrospectively evaluated data of patients who underwent surgical treatment for EC. A-CCI was calculated by summing the weighted comorbidities and age of each patient. A binomial value was assigned to different comorbidities and different drugs. Oncologic outcomes were evaluated using Cox proportional hazard models adjusted for age. RESULTS: A-CCI ≥3 correlated with more aggressive tumor features (47.6% vs. 26.8%, p = 0.001), higher risk of recurrence (29.7% vs. 11.6%, p = 0.001), death (20.7% vs. 7.1%, p = 0.002), and death due to disease (16.6% vs. 6.3%, p = 0.012). Considering comorbidities and drugs at parsimonious multivariable analysis model: cardiac disease, liver disease, and proton pump inhibitors (PPIs) use were independent predictors of disease-free survival. Cardiac disease, autoimmune disease, and PPIs use were independent predictors of overall survival. Diabetes was the only independent predictor for cause-specific survival. LIMITATIONS: The major limitation of the present study is its retrospective nature and the relatively small sample size that limit the possibility to have firm conclusions. CONCLUSION: Patients with EC are characterized by a high burden of comorbidities. Comorbidities are associated directly with survival outcomes. Further attention is needed to improve the active management of comorbidities soon after EC treatments. Interventional studies are needed to improve patients' outcomes.

Enhanced recovery after surgery (ERAS) following radical cystectomy: is it worth implementing for all patients?

PURPOSE: To report the overall effect of ERAS protocol implementation in patients undergoing radical cystectomy and its impact on the length of hospital stay (LOS) and surgical outcomes considering their comorbid conditions. METHODS: Retrospective cohort study including 296 patients (146 non-ERAS patients vs. 150 ERAS patients) undergoing radical cystectomy and urinary diversion from 2010 to 2018. Age-adjusted Charlson Comorbidity Index (ACCI) score eight was set as cut off value between low-risk and high-risk patients. The primary outcome was LOS. Secondary outcomes were time to bowel movements, tolerance of regular diet, the incidence of postoperative ileus, postoperative complications, and 30- and 90-day readmission rates. RESULTS: A higher comorbidity burden was identified in the ERAS group compared to non-ERAS patients (p = 0.04). Median (IQR) LOS for non-ERAS was group 8(4) and 8(5) for ERAS group (p = 0.07). ERAS group demonstrated shorter time to resume bowel movements as well as time to tolerance of regular diet (p = 0.007, p = 0.023, respectively). Low-risk patients managed by the ERAS protocol demonstrated a significantly shortened gastrointestinal (GIT) recovery time (p = 0.001) as well as a reduction of LOS (p = 0.04). No significant reduction of LOS was identified for patients with higher comorbidity when placed on the ERAS protocol (p = 0.65). There were no significant differences in postoperative complications or readmission rates between groups. CONCLUSION: ERAS protocol implementation following radical cystectomy showed significant improvements in GIT recovery, nevertheless, it did not result in a decrease in LOS or readmission rates. Low-risk patients appeared to derive more benefit from ERAS protocol implementation than high-risk patients.

Clinical characteristics and prognosis of elderly nasopharyngeal carcinoma patients receiving intensity-modulated radiotherapy.

PURPOSE: To evaluate the clinical characteristics and prognosis of elderly nasopharyngeal carcinoma (NPC) patients receiving intensity-modulated radiotherapy (IMRT). METHODS: From June 2008 to October 2014, 148 newly diagnosed non-metastatic elderly NPC patients (aged ≥ 70 years) receiving IMRT were recruited. Comorbid condition was evaluated using the age-adjusted Charlson Comorbidity Index (ACCI). Kaplan-Meier method was used to estimate survival rates and the differences were compared using log-rank test. Hazard ratio (HR) and the associated 95% confidence interval (CI) were calculated using Cox proportional hazard model by means of multivariate analysis. RESULTS: The median follow-up time was 66.35 months. Estimated OS rate at 5 years for the entire group was 61.8% (95% confidence interval [CI] 0.542-0.703). The 5-year OS rate of RT alone group was 58.4% (95% [CI] 0.490-0.696) compared with 65.2% (95% [CI] 0.534-0.796) in CRT group (p = 0.45). In patients receiving IMRT only, ACCI score equal to 3 was correlated with superior 5-year OS rate in comparison with higher ACCI score 62.1% (95% [CI] 0.510-0.766) to 48.5% (95% [CI] 0.341-0.689), respectively; p = 0.024). A 5-year OS rate of 63.1% (95% [CI] 0.537-0.741) was observed in patients younger than 75 years old compared with 57.5% (95% [CI] 0.457-0.723) in patients older (p = 0.026). Patients with early-stage disease (I-II) showed better prognosis than patients with advanced-stage (III-IV) disease (5-year OS, 72.3-55.4%, respectively; p = 0.0073). The Cox proportional hazards model suggested that age independently predicted poorer OS (HR, 1.07; 95%CI 1.00-1.15, p = 0.04). CONCLUSION: The survival outcome of patients aged ≥ 70 years receiving IMRT only was similar to chemoradiotherapy with significantly less acute toxicities. Among the population, age is significantly prognostic for survival outcomes.

Routine Basic Metabolic Panels Are Not Needed in All Patients After Primary Total Joint Arthroplasty: An Opportunity for Cost Reduction.

BACKGROUND: As the incidence of total joint arthroplasty (TJA) increases, identifying methods for cost reduction is essential. Basic metabolic panels (BMPs) are obtained routinely after TJA. We aimed at assessing the prevalence of intervention secondary to abnormal BMPs after primary TJA and at identifying predictors of the need for postoperative BMPs. METHODS: We reviewed 802 cases (758 patients) of primary lower-extremity TJA performed from January 1 through December 31, 2018, at our tertiary care medical center. Patient characteristics, preoperative and postoperative BMPs, comorbidities, current medications, and in-hospital interventions were recorded. Age-adjusted Charlson Comorbidity Index (AA-CCI) values were calculated. Institutional costs of 1 BMP and of all BMPs not prompting intervention were calculated. We used multiple regression to identify independent predictors of in-hospital interventions secondary to abnormal postoperative BMPs. RESULTS: Our institutional BMP cost was $36. A total of 1032 postoperative BMPs were ordered; 958 (93%) prompted no intervention. This equated to $34,488 of avoidable BMP costs. We identified 27 cases (3.4%) requiring intervention secondary to abnormal BMPs. Independent predictors of intervention were preoperative renal dysfunction (ie, abnormal creatinine or glomerular filtration rate <60 mL/min) (odds ratio [OR], 7.8; 95% confidence interval [CI], 2.8-22), number of current nephrotoxic medications (OR, 1.9; 95% CI, 1.3-2.9), and AA-CCI value (OR, 1.2; 95% CI, 1.0-1.5). CONCLUSION: Routine postoperative BMPs are unwarranted for most patients undergoing primary TJA. Testing may be reserved for those with renal dysfunction, those taking multiple nephrotoxic medications, or those with a high AA-CCI value.

Utility of Age-adjusted Charlson Comorbidity Index as a Predictor of Need for Invasive Mechanical Ventilation, Length of Hospital Stay, and Survival in COVID-19 Patients.

BACKGROUND: Multiple parameters may be used to prognosticate coronavirus disease-2019 (COVID-19) patients, which are often expensive laboratory or radiological investigations. We evaluated the utility of age-adjusted Charlson comorbidity index (CCI) as a predictor of outcome in COVID-19 patients treated with remdesivir. MATERIALS AND METHODS: This was a single-center, retrospective study on 126 COVID-19 patients treated with remdesivir. The age-adjusted CCI, length of hospital stay (LOS), need for invasive mechanical ventilation (IMV), and survival were recorded. RESULTS: The mean and standard deviation (SD) of age-adjusted CCI were 3.37 and 2.186, respectively. Eighty-six patients (70.5%) had age-adjusted CCI ≤4, and 36 (29.5%) had age-adjusted CCI >4. Among patients with age-adjusted CCI ≤4, 20 (23.3%) required IMV, whereas in those with age-adjusted CCI >4, 19 (52.8%) required IMV (p <0.05, Pearson's chi-square test). In those with age-adjusted CCI ≤4, the mortality was 18.6%, whereas it was 41.7% in patients with age-adjusted CCI >4 (p <0.05, Pearson's chi-square test). The receiver operating curve (ROC) of age-adjusted CCI for predicting the mortality had an area under the curve (AUC) of 0.709, p = 0.001, and sensitivity 68%, specificity 62%, and 95% confidence interval (CI) [0.608, 0.810], for a cutoff score >4. The ROC for age-adjusted CCI for predicting the need for IMV had an AUC of 0.696, p = 0.001, and sensitivity 67%, specificity 63%, and 95% CI [0.594, 0.797], for a cutoff score >4. ROC for age-adjusted CCI as a predictor of prolonged LOS (≥14 days) was insignificant. CONCLUSION: In COVID-19 patients, the age-adjusted CCI is an independent predictor of the need for IMV (score >4) and mortality (score >4) but is not useful to predict LOS (CTRI/2020/11/029266). HOW TO CITE THIS ARTICLE: Shanbhag V, Arjun NR, Chaudhuri S, Pandey AK. Utility of Age-adjusted Charlson Comorbidity Index as a Predictor of Need for Invasive Mechanical Ventilation, Length of Hospital Stay, and Survival in COVID-19 Patients. Indian J Crit Care Med 2021;25(9):987-991.

The impact of age and comorbidity in advanced or recurrent biliary tract cancer receiving palliative chemotherapy.

BACKGROUND AND AIM: Limited data are available on age and comorbidity assessment in patients with biliary tract cancer (BTC). This study aimed to evaluate the association of age and comorbidity burden with clinical outcomes of chemotherapy for BTC. METHODS: Consecutive 197 BTC patients undergoing first-line chemotherapy between 2007 and 2017 were retrospectively studied. Patients were classified to three groups according to the age-adjusted Charlson comorbidity index (ACCI) excluding the score about BTC and progression-free survival, overall survival (OS), and safety were compared. RESULTS: Fifty-one patients (26%) were elderly (≥ 75 years), and ACCI was 0-2 in 73 patients (37%), 3-4 in 98 (50%), and ≥ 5 in 26 (13%). ACCI was associated with the administration of first-line combination chemotherapy (89% in 0-2, 80% in 3-4, and 64% in ≥ 5, P < 0.01) and second-line chemotherapy (67% in 0-2, 51% in 3-4, and 35% in ≥ 5, P = 0.01). ACCI was prognostic for OS in addition to performance status, disease status, and CA19-9: The hazard ratios in ACCI of 3-4 and ≥ 5 were 1.39 and 1.79, compared with ACCI of 0-2 (P = 0.04). While overall safety profile did not differ by ACCI, higher ACCI score group developed Grade 3-4 neutropenia more frequently (26% in 0-2, 42% in 3-4, and 46% in ≥ 5, P = 0.04). CONCLUSION: Age and comorbidity burden did affect OS and safety profile in BTC patients undergoing first-line palliative chemotherapy. ACCI can be a simple and useful tool to evaluate the age and comorbidity burden in these patients.

Migraine and increased risk of developing open angle glaucoma: a population-based cohort study.

BACKGROUND: Migraine is linked to endothelial dysfunction and is considered to be a systemic vasculopathy. Interestingly, systemic vascular diseases also occur in glaucoma patients and are considered to be vascular risk factors. Whether migraine is simply a concomitant condition in glaucoma patients or a risk factor per se for glaucoma remains unknown. Thus, in the present study, we investigated the risk for open angle glaucoma (OAG) in migraineurs using a 10-year follow-up study that employed a nationwide population-based dataset in Taiwan. METHODS: This retrospective matched-cohort study used data sourced from the Longitudinal Health Insurance Database 2000. We included 17,283 subjects with migraine in the study cohort and randomly selected 69,132 subjects from the database for the comparison group. Each subject in this study was individually traced for a 10-year period to identify those subjects who subsequently received a diagnosis of OAG. The age-adjusted Charlson's comorbidity index (ACCI) score was utilized to compute the burden of comorbidity in each subject. Multivariate regression analysis was used to assess risk factors for OAG in migraineurs. Cox proportional hazards regression was performed to compare the 10-year risk of OAG between the migraineurs and the comparison cohort. RESULTS: Migraineurs had more vascular comorbidities than the comparison cohort. The overall incidence of OAG (per 1000 person-years) was 1.29 and 1.02, respectively, for migraineurs and the comparison cohort during the 10-year follow-up period. Age, hyperlipidemia, and diabetes mellitus were three significant risk factors for OAG in migraineurs. After adjusting for patients' age and vascular comorbidities, migraineurs were found to have a 1.68-fold (95% confidence interval [CI], 1.20-2.36) greater risk of developing OAG than the comparison cohort, in subjects with an ACCI score of 0. This association became statistically nonsignificant in subjects with ACCI scores of 1-2 or ≥ 3. CONCLUSION: Migraine is associated with a higher risk of OAG for patients with no comorbidity who are aged under 50 years.

The relationship of age-adjusted Charlson comorbidity index and diurnal variation of blood pressure.

BACKGROUNDS: Charlson Comorbidity index (CCI) is a scoring system to predict prognosis and mortality. It exhibits better utility when combined with age, age-adjusted Charlson Comorbidity Index (ACCI). The aim of this study was to evaluate the relationship between ACCI and diurnal variation of blood pressure parameters in hypertensive patients and normotensive patients. METHODS: We enrolled 236 patients. All patients underwent a 24-h ambulatory blood pressure monitoring (ABPM) for evaluation of dipper or non-dipper pattern. We searched the correlation between ACCI and dipper or non-dipper pattern and other ABPM parameters. To further investigate the role of these parameters in predicting survival, a multivariate analysis using the Cox proportional hazard model was performed. RESULTS: 167 patients were in the hypertensive group (87 patients in non-dipper status) and 69 patients were in the normotensive group (41 patients in non-dipper status) of all study patients. We found a significant difference and negative correlation between AACI and 24-h diastolic blood pressure (DBP), awake DBP, awake mean blood pressure (MBP) and 24-h MBP and awake systolic blood pressure(SBP). Night decrease ratio of blood pressure had also a negative correlation with ACCI (p = 0.003, r = -0.233). However, we found a relationship with non-dipper pattern and ACCI in the hypertensive patients (p = 0.050). In multivariate Cox analysis sleep MBP was found related to mortality like ACCI (p = 0.023, HR = 1.086, %95 CI 1.012-1.165) Conclusion: ACCI was statistically significantly higher in non-dipper hypertensive patients than dipper hypertensive patients while ACCI had a negative correlation with blood pressure. Sleep MBP may predict mortality.

Does Age-Adjusted Charlson Comorbidity Score Impact Survival Endpoints in Women with Federation of Gynecology and Obstetrics-Stage III Endometrial Cancer?

OBJECTIVES: We sought to evaluate the impact of age-adjusted Charlson comorbidity index (AACCI) score on survival endpoints for women with advanced stage endometrial carcinoma (EC). METHODS AND MATERIALS: We identified 238 women with stage III EC. AACCI score was calculated and 3 groups were created accordingly; group 1 with a score of 0-2, group 2 with score 3-4, and group 3 with score ≥5. Significant predictors of recurrence-free (RFS), disease-specific (DSS) and overall survival (OS) were analyzed. RESULTS: Median follow-up was 54 months and median age was 65 years. Stage IIIC was the most common stage (69%). The 3 groups were well-balanced except for less utilization of adjuvant chemotherapy in group 3 (p = 0.01). Five-year OS was significantly lower in group 3 compared to groups 1 and 2 (23 vs. 65 and 51%, respectively). Similarly, 5-year RFS was 54, 41, and 33% and DSS was 65, 54, and 35% for groups 1, 2, and 3 respectively. On multivariate analyses, AACCI group 3, cervical stromal involvement, positive peritoneal cytology, and higher tumor grade were predictors for shorter OS. Cervical stromal involvement and higher grade were independent predictors for worse RFS and DSS. Additionally, positive cytology, lymphovascular space invasion, and stage IIIC2 were significantly detrimental for RFS. CONCLUSIONS: Our study suggests that comorbidity burden is a strong predictor of worse OS in women with stage III EC. Women with higher AACCI are less likely to receive adjuvant chemotherapy. Comorbidity score can significantly impact survival endpoints for women with advanced EC.

Predictive value of the Age-Adjusted Charlson Comorbidity Index on perioperative complications and survival in patients undergoing primary debulking surgery for advanced epithelial ovarian cancer.

OBJECTIVE: To assess the ability of the Age-Adjusted Charlson Comorbidity Index (ACCI) to predict perioperative complications and survival in patients undergoing primary debulking for advanced epithelial ovarian cancer (EOC). METHODS: Data were analyzed for all patients with stage IIIB-IV EOC who underwent primary cytoreduction from 1/2001-1/2010 at our institution. Patients were divided into 3 groups based on an ACCI of 0-1, 2-3, and ≥4. Clinical and survival outcomes were assessed and compared. RESULTS: We identified 567 patients; 199 (35%) had an ACCI of 0-1, 271 (48%) had an ACCI of 2-3, and 97 (17%) had an ACCI of ≥4. The ACCI was significantly associated with the rate of complete gross resection (0-1=44%, 2-3=32%, and ≥4=32%; p=0.02), but was not associated with the rate of minor (47% vs 47% vs 43%, p=0.84) or major (18% vs 19% vs 16%, p=0.8) complications. The ACCI was also significantly associated with progression-free (PFS) and overall survival (OS). Median PFS for patients with an ACCI of 0-1, 2-3, and ≥4 was 20.3, 16, and 15.4 months, respectively (p=0.02). Median OS for patients with an ACCI of 0-1, 2-3, and ≥4 was 65.3, 49.9, and 42.3 months, respectively (p<0.001). On multivariate analysis, the ACCI remained a significant prognostic factor for both PFS (p=0.02) and OS (p<0.001). CONCLUSIONS: The ACCI was not associated with perioperative complications in patients undergoing primary cytoreduction for advanced EOC, but was a significant predictor of PFS and OS. Prospective clinical trials in ovarian cancer should consider stratifying for an age-comorbidity covariate.