Charlson Comorbidity Index Research Articles

Risk Factors Analysis and Nomogram Conduction for Major Adverse Events After Lumbar Fusion Surgery in Older Patients: A Prospective Cohort Study

This study aimed to identify risk factors for major adverse events (AEs) after lumbar fusion surgery in patients aged 75 and over and evaluate the role of several common geriatric comprehensive assessment items in predicting postoperative major AEs. This is a prospective cohort study of patients aged ≥75 years who underwent open lumbar fusion for degenerative spine disease from August 2019 to August 2022. The primary outcome measure was the incidence of major postoperative AEs within 90 days after surgery. Clavien-Dindo III-IV complications and unplanned readmission were defined as major AEs. Patients' characteristics, laboratory tests, assessment results, and surgery-related variables were compared between the major AEs and the non-major AEs groups. Multivariable logistic regression analysis was used to identify independent risk factors for major AEs. The logistic regression model was evaluated in another prospective cohort of patients from October 2022 to October 2023. A total of 301 patients (mean [SD] age, 79.7 [3.5] years; 60.5% male) were included in the study. Five features, including female (OR 1.99, p = 0.040), higher body mass index (BMI) (OR 1.090, p = 0.024), frailty (OR 2.043, p = 0.032), hypoalbuminemia (OR 2.489, p = 0.040), and higher Charlson comorbidity index (CCI) (OR 1.397, p = 0.024), were independently associated with major AEs and were selected to develop a predictive nomogram of major AEs. The area under the curve values for the development set and validation set were 0.75 and 0.71, respectively. Preoperative frailty, hypoalbuminemia, female sex, greater BMI, and higher CCI grade were risk factors for 90-day major AEs after lumbar fusion surgery in older patients. The predictive nomogram that we developed using this data can enhance preoperative risk counseling and optimization for older patients.

Clinical characteristics and decortication outcomes of bacterial, tuberculous and fungal pleural infection.

<sec><title>BACKGROUND</title>Pleural infection leading to empyema is a severe condition marked by accumulated infected fluid in the pleural space. Pneumonia with parapneumonic effusion is its most common precursor. The global incidence of pleural infections has increased significantly, with existing literature mainly focusing on bacterial empyema, leaving a gap in comparative analyses.</sec><sec><title>METHOD</title>A retrospective review was conducted on 561 cases of bacterial, tuberculous, and fungal empyema over a 10-year period. The study compared and analysed overall survival rates, 30-day mortality rates after surgery, and clinical characteristics.</sec><sec><title>RESULTS</title>The three empyema groups displayed distinct clinical characteristics. Fungal empyema had the worst overall survival compared to bacterial and tuberculous empyema, which had similar survival rates based on 30-day and 2-year mortality. Fungal empyema, advanced age, and high Charlson Comorbidity Index (CCI) score were independent predictors of poor prognosis.</sec><sec><title>CONCLUSION</title>Fungal empyema has the highest mortality rate post-decortication surgery. Advanced age and high CCI score are independent predictors of poor prognosis.</sec>.

Pearls for counseling older adults on the indications for stopping colon cancer screening

Colorectal cancer remains a leading cause of mortality, making effective screening procedures like colonoscopy essential in reducing associated risks. The cessation of colorectal cancer screening in older adults presents complex challenges, particularly as guidelines recommend screening initiation at age 45 and emphasize individualized decision-making for older populations. Key considerations include balancing procedural risks, cancer risk, overall health prognosis, and patient preferences. The risks associated with colonoscopy are especially pertinent for older patients with comorbidities, necessitating the use of prognostic tools like ePrognosis and the Charlson Comorbidity Index to inform screening decisions. High-risk individuals may experience increased anxiety about cancer, complicating the decision-making process, as many have historically relied on regular surveillance. Perspectives from both physicians and patients reveal significant uncertainty regarding screening cessation, highlighting the importance of patient involvement in these discussions. Effective communication strategies are crucial, advocating for recommendations that align with patients' broader health goals rather than focusing solely on age-related actuarial data. Ultimately, navigating the intricacies of colorectal cancer screening cessation in older adults requires a patient-centered approach that minimizes risks while respecting individual values and health goals.

Open versus minimally invasive hepatic and pancreatic surgery: 1-year costs, healthcare utilization and days of work lost

IntroductionUtilization of minimally invasive surgery (MIS) has become increasingly popular due to its potential benefits such as earlier recovery and reduced morbidity. We sought to characterize differences in 1-year healthcare costs and missed workdays among patients undergoing MIS and open surgery for a hepatic or pancreatic indication. MethodsData on patients who underwent hepatic and pancreatic resection were obtained from the IBM Marketscan database. Generalized linear models were utilized to compare healthcare costs and missed workdays among patients undergoing MIS versus open surgery. ResultsAmong 8705 patients, 85.0 % (n = 7399) and 15.0 % (n = 1306) patients underwent an open or MIS HP procedure, respectively. In the unmatched cohort, patients who underwent MIS were more likely to be female (62.7 % vs. 54.6 %) and were less likely to have a Charlson Comorbidity Index score >2 (34.5 % vs. 49.6 %) (both p < 0.05). After entropy balancing, multivariable analysis revealed that MIS was associated with lower 1-year post discharge expenditures (mean difference -$9,739, 95%CI-$12,893, -$6585) and fewer missed workdays at 1-year post-discharge (IRR 0.84, 95%CI 0.81–0.87) (all p < 0.001). DiscussionAt index hospitalization and 1-year post-discharge, an HP MIS approach was associated with lower healthcare expenditures versus open surgery for hepatic and pancreatic resection, as well as fewer missed workdays.

Risk of subsequent Parkinson's disease among patients with bipolar disorder or major depression: A nationwide longitudinal study in Taiwan.

Bipolar disorder (BD) and major depression have been associated with an increased risk of developing Parkinson's disease (PD); however, few studies have directly compared the risk of PD development between patients with BD and major depression while considering relevant risk factors and psychotropic medications. Using the Taiwan National Health Insurance Research Database, 21,186 patients with BD, 21,188 patients with major depression, and 42,374 controls were enrolled between 2001 and 2009, and followed until the end of 2011. Individuals who developed PD during the follow-up period were identified. Cox regression models were used to analyze the hazard ratio (HR) of developing PD, adjusting for demographic factors, comorbidities, and psychotropic medication usage. Both patients with BD [HR 8.63, 95% confidence interval (CI) 6.35-11.72] and those with major depression (HR 5.68, 95% CI 4.15-7.78) had an elevated risk of subsequent PD compared to the controls. Patients with BD were associated with a 51% increased risk of subsequent PD compared with patients with major depression. Long-term treatment with antiepileptic mood stabilizers was associated with increased PD risk among patients with late-onset BD and high Charlson comorbidity index scores. Lithium was not associated with an increased PD risk. The study highlights an elevated PD risk in patients with BD and major depression compared to the controls, with BD patients at highest risk. Further research is needed to elucidate the complex interplay between psychotropic medications and neurodegenerative processes in BD, aiming to optimize therapeutic strategies and improve patient outcomes.

The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease.

To create a machine-learning model for estimating the likelihood of post-retrograde intrarenal surgery (RIRS) sepsis. All consecutive patients with kidney stone(s) only undergoing RIRS in 16 centers were prospectively included (January 2022-August 2023). adult, renal stone(s) only, CT scan (within three months), mid-stream urine culture (within 10 days). concomitant ureteral stone, bilateral procedures. In case of symptomatic infection/asymptomatic bacteriuria, patients were given six days of antibiotics according to susceptibility profiles. All patients had antibiotics prophylaxis. Variables selected for the model: age, gender, age-adjusted Charlson Comorbidity Index, stone volume, indwelling preoperative bladder catheter, urine culture, single/multiple stones, indwelling preoperative stent/nephrostomy, ureteric access sheath, surgical time. Analysis was conducted using Python programming language, with Pandas library and machine learning models implemented using the Scikit-learn library. Machine learning algorithms tested: Decision Tree, Random Forest, Gradient Boosting. Overall performance was accurately estimated by K-Fold cross-validation with three folds. 1552 patients were included. There were 20 (1.3%) sepsis cases, 16 (1.0%) septic shock cases, and three more cases (0.2%) of sepsis-related deaths. Random Forest model showed the best performance (precision = 1.00; recall = 0.86; F1 score = 0.92; accuracy = 0.92). A web-based interface of the predictive model was built and is available at https://emabal.pythonanywhere.com/ CONCLUSIONS: Our model can predict post-RIRS sepsis with high accuracy and might facilitate patient selection for day-surgery procedures and identify patients at higher risk of sepsis who deserve extreme attention for prompt identification and treatment.

A diverse hidradenitis suppurativa cohort: a retrospective cross-sectional study of 13,130 patients from a large US healthcare system database from 1995-2022

BackgroundMost epidemiological studies of hidradenitis suppurativa (HS) have described homogeneous patient populations. ObjectiveTo characterize demographics, modifiable health behaviors, and comorbidities of HS patients within a diverse cohort. MethodsA retrospective cross-sectional study of 13,130 HS patients within a healthcare system was conducted. ResultsA female sex bias of ∼3:1 in all racial/ethnic subgroups was observed. Black/African American (AA) patients had a lower age at HS diagnosis than White patients (37.1 years vs 39.4 years, P<0.001). A higher proportion of Black/AA females than White females with HS had BMI in the obese range (69.9% vs 56.5%; P=0.03). In contrast, fewer Black/African American males with HS had a BMI in the obese range compared to White males (51.4% vs. 61.0%; P<0.001). More Black/AA patients than White patients with HS had congestive heart failure (OR=2.10, CI=1.19-3.78; P<0.05), chronic pulmonary disease (OR=1.34; CI=1.02-1.78; P<0.05), diabetes with chronic complication (OR=1.73; CI=1.16-2.60; P<0.05), renal disease (OR=2.66; CI=1.67-4.34; P<0.05), and Charlson Comorbidity Index score ≥4 (OR=1.67; CI=1.09-2.58; P<0.05). Furthermore, male patients were more likely than female patients to have renal disease (OR=2.62; CI 1.66-4.14; P<0.05). LimitationsA single-center study. ConclusionSubgroups of HS patients had significant differences in demographics, risk factors, and comorbid conditions.

Development of a risk score for predicting one-year mortality in patients with atrial fibrillation using XGBoost-assisted feature selection.

There are no tools specifically designed to assess mortality risk in patients with atrial fibrillation (AF). This study aimed to utilize machine learning methods to identify pertinent variables and develop an easily applicable prognostic score to predict 1-year mortality in AF patients. This study, based on the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database, focused on patients aged 18 years and older with AF. A critical care database from China was the external validation set. The importance of variables from XGBoost guided the development of a logistic model, forming the basis for an AF scoring model. Records of of 26 365 AF patients were obtained from the MIMIC-IV database. The external validation dataset included 231 AF patients. The CRAMB score (Charlson comorbidity index, readmission, age, metastatic solid tumor, and maximum blood urea nitrogen concentration) outperformed the CCI and CHA2DS2-VASc scores, demonstrating superior predictive value for 1-year mortality. In the test set, the area under the receiver operating characteristic (AUC) for the CRAMB score was 0.765 (95% confidence interval [CI], 0.753-0.776), while in the external validation set, it was 0.582 (95% CI, 0.502-0.657). The simplicity of the CRAMB score makes it user-friendly, allowing for coverage of a broader and more heterogeneous AF population.

Overall and linked blood pressure variabilities in the first 24 hours and mortality after spontaneous intracerebral hemorrhage: a retrospective study of 1,036 patients.

This study aims to establish the individual contributions of blood pressure variability (BPV) indexes, categorized into overall and linked variability, to mortality following intracerebral hemorrhage (ICH) by examining the risk factors. Patients with spontaneous ICH (n = 1,036) were identified with valid blood pressures (BP) from the first 24-h systolic BP records in the Medical Information Mart for Intensive Care IV version 2.2 database (MIMIC IV). Information on the baseline characteristics, including age, sex, initial Glasgow Coma Scale (GCS) and National Institutes of Health Stroke Scale (NIHSS) scores, ICH location, Charlson comorbidity index score, and presence of diabetes with or without complications, were collected. Three indexes of BPV-range, standard deviation (SD), and generalized BPV (GBPV)-were calculated using the first 24-h systolic BPs. An automated stepwise variable-selection procedure was used to develop the final logistic model for predicting in-hospital mortality. Out of 1,036 patients, 802 (77.4%) survived and were discharged after spontaneous ICH. Factors associated with mortality included age; male sex; ICH in the brainstem, ventricle, or multiple locations; low GCS score (< 9); high NIHSS score (> 20); and diabetes with complications. Mean systolic BP, SD, and GBPV were also linked to mortality. Higher GBPV notably increased the risk of in-hospital death, with an odds ratio of 3.21 (95% confidence interval, 2.10 to 4.97) for every + 10 mmHg/h change in GBPV. This study underscores the additional impact of GBPV, herein linked to BPV, on mortality following ICH, providing further insights into the management of blood pressure in the early stages of ICH treatment.

Hospital Admission Trends in Alpha-1-Antitrypsin Deficiency: A Sex-Based Analysis from the Spanish National Discharge Database, 2016-2022.

Objectives: To analyze the number and clinical characteristics of hospital admissions in Spain between 2016 and 2022 in which alpha-1-antitrypsin deficiency (AATD) was coded; to describe and analyze differences in these parameters between men and women; and to identify variables associated with a worse prognosis. Methods: We used a nationwide discharge database to select all admissions featuring an AATD diagnostic code (ICD-10 code E88.01) in any position. Results: We found 5142 hospital admissions with a diagnosis of AATD and detected a significant increase in their number from 2016 to 2022 (p = 0.034 for trend). Males accounted for 58.21% of the hospitalizations and had a higher Charlson Comorbidity Index than women (1.86 vs. 1.33; p < 0.001), were hospitalized more frequently (21.18% of men were hospitalized more than once vs. 17.76% of women, p < 0.001), and had a higher probability of severe disease (OR 1.39; 95%CI 1.10-1.75). Crude in-hospital mortality (IHM) was 6.85% in men and 4.8% in women (p = 0.007). The variables associated with IHM in both sexes were older age, more hospital admissions, and liver disease or lung cancer. Invasive and non-invasive mechanical ventilation and admission to the ICU were also associated with IHM in men and women. Multivariable adjustment revealed no association between sex and IHM. Conclusions: The number of hospitalizations for AATD increased in Spain from 2016 to 2022. Men represented almost 60% of hospitalizations, were admitted more frequently and with more comorbidities, and had a higher probability of severe disease than women. There was no association between sex and IHM.

The Impact of Comorbidity and Age on the Risk of Hospitalization and Mortality in Patients with Previous COVID-19 Infection-Based on Nationwide Data.

Objectives: The influence of comorbidity on long-term hospitalization and mortality after COVID-19 in adults (40-59 years) and older adults (≥60 years) is yet to be explored. Methods: This is a Danish population-based cohort study of patients with a first-time positive PCR test for COVID-19 from 1 March 2020, to 28 February 2022 (N = 1,034,103). Exposed cohorts were patients with 1) a Charlson Comorbidity Index (CCI) score of 1-2 and 2) a CCI score ≥3, who were compared to patients without comorbidity (CCI of zero) within the groups of adults (67.9%) and older adults (32.1%) for the risk of hospitalization and mortality. Next, within the age groups, each disease category of the CCI was considered as an exposed cohort and compared to patients who did not have the specific disease of interest. Adjusted hazard ratios (HR) for hospitalization and mortality were estimated by Cox regression models adjusted for confounders. Results: The highest HRs were in adult patients with a CCI score of ≥3. The adjusted HR was 4.54 (95%CI: 4.38-4.70) for hospitalization, and among older adults it was 3.05 (95%CI: 2.99-3.11). The adjusted HR for mortality among adults with a CCI score ≥3 was 21.04 (95%CI: 18.86-23.47), and the adjusted HR for mortality among older adults was 4.61 (95%CI: 4.44-4.78). The underlying disease influenced the risk estimates among adults and older adults, and "dementia" had the highest impact on mortality. Conclusion: A CCI score of 1 or above increases the risk of hospitalization and mortality up to 2 years after a positive PCR test of COVID-19 for adults and older adults. Further, the type of underlying disease in older adults highly influences the risk of hospitalization and mortality.

Can the Charlson comorbidity index help to guide DOAC dosing in patients with atrial fibrillation and improve the efficacy and safety of treatment? A subanalysis of the MAS study

BackgroundFrailty influences the effectiveness and safety of anticoagulant therapy in patients with atrial fibrillation (AF). The age-weighted Charlson comorbidity index may offer a valuable tool to assess the risk of adverse events in AF patients treated with direct oral anticoagulants (DOACs). This sub-analysis of MAS trial data aimed to assess whether using the Charlson index, instead of the standard criteria, would have led to different dosing and improved adverse event occurrence during treatment. MethodsThe MAS study looked for a relationship between DOAC levels assessed at baseline and adverse events during follow-up. The study is described in detail elsewhere. ResultsAmong the 1,657 patients studied, 832 (50.2 %) had a relatively low Charlson index (up to 6, general median class), of whom 132 (15.9 %) were treated with reduced doses. Conversely, among the 825 patients with a high Charlson index (≥7), 257 (31.1 %) received standard doses. A weak but statistically significant positive correlation (r = 0.1413, p < 0.0001 by ANOVA) was observed between increasing Charlson classes and DOAC levels standardized to allow comparability among drug results. However, no significant differences were found in the incidence or number of adverse events during follow-up, or in other parameters, between patients with low and high Charlson's scores. ConclusionsUtilizing the Charlson index would have led to notable differences in DOAC dosing compared to standard criteria. However, we found no evidence that its use would have improved the prediction of adverse events in AF patients enrolled in the MAS study.

Is alcohol use disorder associated with higher rates of depression and anxiety among people with new onset type 2 diabetes? A cohort study using linked primary care data in England

IntroductionDepression and alcohol use disorder (AUD) in people living with Type 2 diabetes mellitus (T2DM) are associated with worse health outcomes. AUD is strongly associated with depression and anxiety, but it is not known how these conditions cluster in people with T2DM. We investigated rates of new episodes of depression and anxiety following T2DM diagnosis in people with and without prior AUD among an English primary care population.MethodsThe study population was people diagnosed with T2DM between 2004 and 2019. We used the Clinical Practice Research Datalink (CPRD) Aurum database and linked Hospital Episode Statistics Admitted Patient Care (HES APC) and Office for National Statistics (ONS) mortality data. We examined incidence of new episodes of anxiety or depression in people with T2DM with and without AUD. AUD was defined as any of i) clinical diagnosis; ii) alcohol withdrawal; or iii) chronic alcohol-related harm (physical or mental) using SNOMED-CT or ICD-10 codes. People were excluded if they had codes for depression/anxiety 12 months prior to T2DM diagnosis. Poisson regression models were fitted adjusting sequentially for a) age, gender, calendar time; b) region, Index of Multiple Deprivation, ethnicity, body mass index, smoking status, Charlson co-morbidity index; and c) history of a mental health condition.ResultsOur study population was 479,447 people of whom 10,983 (2.3%) had an AUD code prior to T2DM diagnosis.After adjusting for all measured confounders except history of a mental health condition, IRR for depression was 2.00 (95% CI 1.93, 2.06) for people with AUD compared to without AUD. This reduced to 1.45 (95% CI 1.41, 1.50) after further adjustment for history of a mental health condition.Findings for anxiety were substantially similar to those for depression (adjusted for all measured confounders except history of a mental health condition, IRR 2.08 95% CI 1.99, 2.18 fully adjusted IRR 1.48 95% CI 1.41, 1.55).ConclusionsPeople with AUD have over double the rates of depression and anxiety following T2DM diagnosis than those without AUD. This was only partially explained by pre-existing diagnoses of mental health conditions. A holistic approach incorporating mental health support is needed to improve health outcomes for people with AUD who develop T2DM.Trial registrationNot applicable.

SAFETY OF DIRECT ORAL ANTICOAGULANTS IN PATIENTS WITH ATRIAL FIBRILLATION 80 YEARS AND OLDER: CLINICAL RISK FACTORS

BACKGROUND: Direct oral anticoagulants (DOACs) use is complicated by bleeding, especially in the geriatric population. Most studies focus on predicting major bleeding, while clinically relevant non-major bleeding (CRNMB) is no less important for practice. АIM: of the study was to evaluate the ability of clinical factors to predict the risk of CRNMB while taking DOACs in patients with atrial fibrillation (AF) aged 80 years and older. MATERIALS AND METHODS: 367 patients were examined with non-valvular AF aged 80 years and older (median age 84 [82; 88] years) taking DOACs. The main population parameters (gender and age composition of groups, body mass index), risk of ischemic stroke according to the CHA2DS2-VASc scale, risk of bleeding according to the HAS-BLED scale, comorbidity, Charlson comorbidity index, risk factors for chronic non-communicable diseases, number of medications taken, objective examination data, vascular wall stiffness, and laboratory test results were assessed. RESULTS: In univariate analysis, significant risk factors for developing CRNMB with all DOACs were: higher frequency of walking (p=0.022), lower heart rate (p=0.08), and history of gastric and duodenal ulcer (GDU) (odds ratio (OR) 5.34 [95% confidence interval (CI): 2.31; 12], p0.001). As a result of multivariate analysis, a model for predicting CRNMB was developed, with age, type of DOAC, liver disease, acute cerebrovascular accident, history of GDU selected as predictors. The resulting model was characterized by 62.6% [95% CI: 57.4; 67.6] predictive accuracy, 66.5% [95% CI: 59.4; 73.1] sensitivity and 58.2% [95% CI: 50.4; 65.7] specificity. CONCLUSION: The study identified specific modifiable, potentially modifiable, and non-modifiable risk factors for the development of CRNMB in patients with AF over 80 years of age taking DOACs. The results of the study can be used to create an electronic system to support medical decision-making, manage risk factors, and improve the quality of life of the population.

Prediction of Hospital Readmission Using the CORE and CORE+ Scores in Persons With COPD.

Identifying persons with COPD at high risk for hospital readmission provides opportunities for efficient and appropriate care to lower readmission risk. This study examined 30-d and 60-d hospital readmission prediction of the COPD-readmission (CORE) score and a newly developed CORE+ score. The relationship between CORE and CORE+ scores and ICU admission, endotracheal intubation, and in-hospital noninvasive ventilation (NIV) use was explored. A retrospective cohort study evaluated participants with spirometry-confirmed COPD from 2 Midwestern academic hospitals. The CORE score variables included eosinophil blood count, FEV1/FVC (<0.70) and FEV1 (≤40% of predicted), triple inhaler therapy, previous hospitalization, and presence of neuromuscular disease. Out-of-hospital NIV use and Charlson comorbidity index were added to compose the CORE+ score. Researchers assessed associations between variables and outcomes with chi-square test or Fisher exact test, compared results of CORE and CORE+ scores with Wilcoxon signed-rank test, assessed each score's 30-d and 60-d readmission predictive power with multiple logistic regression, and evaluated predictive accuracy with AUC of receiver operating characteristic using alpha < 0.05. Of 391 participants, the study found a 22% 30-d, all-cause readmission rate and a 16% 60-d, all-cause readmission rate. CORE+ score had better predictive accuracy than the CORE score for 30-d readmission (area under the curve 0.81 [95% CI 0.76-0.86]; AUC 0.73 [95% CI 0.66-0.79], P < .001) and 60-d readmission (AUC 0.77 [95% CI 0.71-0.83]; AUC 0.75 [95% CI 0.69-0.81], P < .001). Participants who used in-hospital NIV had higher median CORE+ scores (P = < .001). CORE and CORE+ scores demonstrated good to very good predictive accuracy for 30-d and 60-d readmission, respectively. Moreover, this study demonstrated a linear relationship between in-hospital NIV use and CORE+ score.

Patterns of Amphotericin B Use and Factors Related to Mortality in a Low-Middle Income Country: An Observational and Longitudinal Study

Background/Objectives: Amphotericin B is indicated in deep systemic fungal infections. The aim was to determine the sociodemographic, clinical and pharmacological variables of a group of Colombian patients treated with amphotericin B and factors associated with mo rtality. Methods: A longitudinal observational retrospective study on the use of amphotericin B in Colombia was conducted between January 2015 and December 2022. The multivariate analysis sought to identify variables related to mortality. Results: A total of 310 patients were identified, with a median age of 44.0 years, and 71.0% were women. Conventional amphotericin B was the most used (74.8%). The main uses were cryptococcosis (38.7%), histoplasmosis (31.9%) and candidiasis (29.4%). More than a third of patients died during hospitalization (40.3%). An increase in the Charlson Comorbidity Index score (HR: 1.13; 95% CI: 1.05–1.22) and in the qSOFA score (HR: 1.34; 95% CI: 1.04–1.73), coinfection by Mycobacterium tuberculosis (HR: 2.09; 95% CI: 1.32–3.31) and the requirement of vasopressors (HR: 4.20; 95% CI: 2.16–8.15) or invasive mechanical ventilation (HR: 2.73; 95% CI: 1.40–5.33) increased the probability of in-hospital death. In contrast, those who received systemic corticosteroids (HR: 0.43; 95% CI: 0.26–0.70) had a lower risk. Conventional amphotericin B is the most used drug mainly treating Cryptococcus neoformans infections. Conclusions: The use of amphotericin B was consistent with clinical practice guideline recommendations. In-hospital mortality was common, and factors such as increased comorbidities, higher qSOFA scores, coinfection with Mycobacterium tuberculosis and invasive procedures like mechanical ventilation were linked to increased mortality.

Equity evaluation of intensive care unit admission based on comorbidity in hospitalized patients with COVID-19: a cross-sectional analysis.

Intensive care unit (ICU) beds played a crucial role in reducing mortality rates of patients with severe COVID-19. The surge in the number of patients led to a shortage of ICU beds, which may have exacerbated inequity of healthcare utilization. However, most attention has been focused on the horizontal equity in healthcare utilization, where individuals with the same needs receive the same services. Vertical equity, where individuals with higher needs receive more healthcare is often neglected, which might overestimate the equity. This study analyzes the vertical equity of ICU utilization among hospitalized patients with COVID-19. In total, 18,547 hospitalized patients with COVID-19 in Maryland in 2020 were enrolled in this cross-sectional study. Logistic regression analysis was conducted to determine the independent factors affecting ICU utilization, and the Shapley value decomposition approach was implemented to assess the contribution of the independent variables to disparities in ICU admission. A concentration curve and concentration index were used to assess the vertical equity in healthcare utilization. ICU utilization by patients with COVID-19 was significantly affected by Charlson Comorbidity Index (CCI), with odds ratios (OR) 1.09 [95% confidence intervals (CI): 1.07-1.10; p < 0.001] in univariable analysis and 1.11 (95% CI: 1.09-1.13; p < 0.001) in multivariable regression analysis. The most important contributors were household income (32.27%) and the CCI (22.89%) in the Shapley value decomposition analysis. The concentration curve was below the line of equity, and the concentration index was 0.094 (95% CI: 0.076-0.111; p < 0.001), indicating that ICU utilization was concentrated among patients with a high CCI. These results were robust for all subgroup analyses. Among 18,547 hospitalized patients with COVID-19 in Maryland in 2020, ICU utilization was significantly affected by comorbid conditions. The concentration curve and concentration index also indicated that ICU utilization was more concentrated in patients with a higher CCI. The results was consistent with the principle of vertical equity, whereby healthcare resources are more concentrated on COVID-19 patients with higher health needs.

Management and outcomes in pulmonary arterial hypertension patients with sepsis

BackgroundSepsis is a common cause of death in patients with pulmonary arterial hypertension (PAH). Treatment requires careful fluid management and hemodynamic support. This study compares patients with or without PAH presenting with sepsis with a focus on initial fluid resuscitation.MethodsThis retrospective analysis compared adults with and without PAH admitted for sepsis at two academic hospitals between 2013 and 2022. Prior PAH diagnosis was verified by review of right heart catheterization data and sepsis present on admission was verified by chart review. Demographics, vital signs, laboratory values, imaging results, treatment approaches, and all-cause mortality data were obtained. Controls were propensity score weighted by age, sex, and Charlson Comorbidity index. Logistic regression models controlling for age and Charlson comorbidity indices were used to examine factors associated with survival.ResultsThirty patients admitted for sepsis with pre-existing PAH were compared to 96 matched controls. Controls received significantly more fluids at 24 h compared to PAH patients (median 0 mL v. 1216 mL, p < 0.001), while PAH patients were more likely to receive vasoactive medications (23.3% vs. 8.3%, p = 0.037). At 30 days, 7 PAH patients (23.3%) and 13 control patients (13.5%) had died (p = 0.376). PAH patients that received more fluids had decreased mortality (OR 0.31, 95% CI 0.11–0.92, p = 0.03) and patients who received fluids had shorter mean time to antibiotics (2.3 h v. 6.5 h, p = 0.04), although decreased time to antibiotics was not associated with mortality. Patients who received no fluids more often had previously identified right ventricular systolic dysfunction (62.5% v. 28.6%, p = 0.136).ConclusionPatients with PAH and sepsis have high mortality and receive different treatments than controls, with more reliance on vasopressors and less on fluid resuscitation. PAH patients who received less fluids had higher mortality and those who received no fluids had a longer time to receiving antibiotics, indicating a potential delay in recognizing sepsis. Timely recognition of sepsis and dynamic decision-making around fluid resuscitation remains critical in this high-risk population.

Ranolazine therapy is associated with a reduced new diagnosis of diabetes mellitus in chronic coronary syndrome patients: the results of a real-world analysis of an Italian population

Abstract Background Ranolazine (Ran) is an anti-anginal drug acting as a late sodium current inhibitor at a cell membrane level. Some experimental and clinical studies showed an antihyperglycemic effect of the drug, possibly mediated by the increase of insulin secretion, the inhibition of glucagon release, and the protective action on beta-cell function. These effects, additive to the anti-anginal properties of Ran in patients with chronic coronary syndrome (CCS), could modulate and improve glucose metabolic balance. Indeed, data exploring at a population level the association of the drug with diabetes mellitus (DM) incidence are effectively lacking. Aims Aim of this study was to evaluate in CCS patients if the use of Ran, compared with other treatments (No-Ran), was associated with a lower incidence of DM in an Italian real-world clinical setting. Methods Patients included in the database of the National Health System were evaluated (N=6.1 million; about 10% of the Italian population); the recorded information concerned hospitalizations with the related diseases, clinical events, outpatient visits and drug therapy. Patients hospitalized for any cause and discharged with a diagnosis of angina between 2011 and 2020 (ICD-9-CM codes: 413-414) were included in the study after having proved the absence of DM in their medical history. Study population was divided into the Ran (at least one drug prescription) and in the No-Ran cohorts. The mean follow up was 4.3 years for the Ran and 5.0 years for the No-Ran cohorts, respectively. Results The study population included N=171,015 patients (mean age: 72 years, men: 66%). Among them, N=148,808 (No-Ran cohort) were treated with other therapies while N=22,207 (Ran cohort) received Ran. After propensity score matching, Ran (N=6,384) and No-Ran (N=25,536) cohorts did not differ for age, Charlson comorbidity index, use of aspirin and other antithrombotic agents, statins, beta-blockers, Ca-antagonists and nitrates. The incidence of a new diagnosis of DM during the follow-up period was 10.5 and 15.8% in the Ran and in the No-Ran cohorts, respectively (p&amp;lt;0.001). The Cox-regression analysis showed that Ran therapy was associated with a 30% risk reduction to present a new diagnosis of DM (HR=0.70, 95%CI: 0.64-0.76, p&amp;lt;0.001), independently of age, Charlson comorbidity index, heart failure, previous stroke, use of ivabradine, Ca-antagonists and nitrates. Conclusions This real-world study, performed in a whole subset of the Italian population, showed that, in the long-term, the incidence of a new DM diagnosis was lower in Ran users. This association could contribute to explain the benefits of the drug in patients with CCS.

Is it worth using the Comprehensive Complication Index over the Clavien-Dindo classification in elderly patients who underwent percutaneous nephrolithotomy?

To compare the Comprehensive Complication Index (CCI) to the Clavien-Dindo classification (CDC) in an elderly population who underwent percutaneous nephrolithotomy (PCNL) and to identify predictors of postoperative complications in this population. We conducted a retrospective cohort study involving patients 60years and older who underwent PCNL at our Institution between 2009 and 2020. Postoperative complications were considered up to 30days after surgery. Both CDC and CCI were calculated to assess patient outcomes. Length of stay (LOS) and admission to the emergency room (ER) were used as surrogates of postoperative complications. We included 244 patients with a median age of 65 [63-69] years. 15.6% presented postoperative complications, and 2.5% multiple complications. LOS had a correlation coefficient of 0.29 (p < 0.001) and ER admissions had a coefficient of 0.27 (p < 0.001) with both CDC and CCI. Cost of hospitalization based on CDC underestimated CCI-based cost of hospitalization in 0.8% (p = 0.049). Higher American Society of Anesthesiology (ASA) physical status (p = 0.02), Charlson Comorbidity Index (p = 0.008), Guy's classification (p = 0.005), and history of urinary tract infection (UTI, p = 0.047) exhibited significant correlations with postoperative complications. Both CDC and CCI equally correlate with LOS and ER admissions following PCNL in elderly patients. However, CDC underestimates cost of hospitalization in comparison to CCI. We found higher ASA physical status, Charlson Comorbidity Index, Guy's classification, and history of UTI as predictors of postoperative complications after this procedure in this population.