Higher Charlson Comorbidity Index Research Articles

#2778 The Charlson Index can be used prospectively to identify patients who will need a close follow up of surveillance for the vascular access

Abstract Background and Aims The primary screening methods for monitoring vascular access in haemodialysis involve measuring access blood flow and dialysis venous pressure. However, challenges are present in both aspects, potentially hindering the attainment of desired results. Research in this field is crucial to identify the optimal combination of intensive clinical monitoring and supplementary surveillance for effective outcomes. For this reason, we aim to describe the impact of comorbidities and patency of native arteriovenous fistulae (nAVF). Method Descriptive study of prevalent patients on haemodialysis, carried out by consulting electronic medical records over a period of 35 months. Demographic and vascular access-related variables were included. Primary and secondary patency was calculated for all accesses. Patients with upper limb AVF were classified according to distal and proximal access location; and the Charlson Index was used to categorise patients according to comorbidities. Kaplan Meyer survival curves were used to contrast the impact of comorbidities on the different patency. Results 52 patients, age 70.7 ± 1.57 years, 69.2% male, 42.3% diabetic, Charlson index with a median of 7 (6.5 - 7.73), 98.1% with a native fistula, the most frequent nAVF location in our population was humerocephalic (63.5%) and a predominance of the left upper extremity (65.4%). According to the location of the access, adjusted by the Charlson index, it is evident that in proximal accesses (humerocephalic and basilic humerus nAVF), with a Charlson Index less than or equal to 7, the time required to reach an event was statistically significantly longer (Log Rank Test (Mantel-Cox): primary patency p=0.057 and secondary patency p=0.069). This comparison was not significant in distal fistulas. Conclusion Using the Charlson comorbidity index information, we transformed it into an accessible and valuable tool for maintaining vascular access patency. Close follow-up in patients with proximal nAVF and high Charlson comorbidity index could be beneficial.

#1638 Long-term mortality trends in IgA nephropathy: a study of an Eastern European cohort

Abstract Background and Aims IgA Nephropathy (IgAN), recognized as the most prevalent form of primary glomerulonephritis, has been thoroughly researched in terms of renal outcomes. However, there is a scarcity of data regarding patient survival, especially in Eastern Europe. Our study focuses on exploring the long-term survival rates of IgAN patients and identifying associated risk factors within an Eastern European population. Method In our retrospective study, we analyzed 215 patients with biopsy proven IgAN (median age 44 years, 71% male, median eGFR 40.9 mL/min/1.73 m2, median proteinuria 1.24g/g) diagnosed at a tertiary center in Romania from 2010 to 2017. Our study primarily focused on all-cause mortality and secondarily on the development of ESKD (start of kidney replacement therapy or renal transplantation). The follow-up for patients continued until they reached either of these endpoints or until January 1, 2022, whichever came first. Results During a median follow-up of 7.3 years, 20% of the patients died. The main causes of death were cardiovascular diseases (60%), followed by infectious (19%), gastroenterological (12%), and neoplasia (9%) diseases. Mean survival of the entire cohort was 117.5 months (95% CI: 111.2, 123.8) and mean kidney survival was 98.4 months (95% CI: 90.5, 106.2). Survival rates at 1 year, 5 years and 10 years were 93%, 84% and 77% respectively, and kidney survival rates at 1 year, 5 years and 10 years were 87%, 72% and 58% respectively. When compared to the survivors, deceased patients were significantly older (60 vs 42 years, p 0.001) and had an increased prevalence of diabetes mellitus (26 vs 4%, p 0.001) and higher Charlson comorbidity index (5 vs 2, p 0.001). Deceased patients also had significantly higher serum creatinine levels (3.3 vs 1.6 mg/dL, p 0.001), lower eGFR (18 vs 46 mL/min, p 0.001), and more haematuria (230 vs 183cells/HPF, p 0.01). There was no significant difference in proteinuria between the two groups (1.1 vs 1.2g/g, p 0.3). In the univariate Cox regression analysis, all-cause mortality was significantly associated with several factors: advancing age (HR 1.08, 95% CI: 1.05, 1.11), an increased Charlson comorbidity index (HR 1.60, 95% CI: 1.42, 1.80), the presence of diabetes mellitus (HR 5.13, 95% CI: 2.57, 10.25), lower eGFR (HR 0.95, 95% CI: 0.93, 0.97), increased proteinuria (HR 1.12, 95% CI: 1.00, 1.25), the presence of haematuria (HR 1.26, 95% CI: 1.03, 1.53), lower serum albumin (HR 0.35, 95% CI: 0.22, 0.56), higher MEST-C score (HR 1.38, 95% CI 1.13, 1.69) and absence of renin-angiotensin-system inhibitors (RASI) (HR 0.32, 95% CI 0.17, 0.60). However, in the multivariate analysis, only an increased Charlson comorbidity index (HR 1.31, 95% CI: 1.09, 1.57), lower eGFR (HR 0.98, 95% CI: 0.96-1.00) and absence of RASI (HR 0.21, 95% CI: 0.15, 0.28) retained their statistical significance. Conclusion We report a 20% mortality rate in our Eastern European IgAN cohort, primarily due to cardio-vascular diseases. Death correlates with increased age, comorbidity burden, decreased renal function at diagnosis, and absence of RASI use. RASI treatment may potentially improve survival, highlighting its importance in managing IgAN.

The impact of comorbidity status on knee function 1 year after total knee arthroplasty: a population-based cohort study.

Few studies have examined the impact of comorbidity on functional and clinical knee scores after primary total knee arthroplasty (TKA). We compared the effect of having a high Charlson Comorbidity Index (CCI), relative to a low CCI, on changes in the American Knee Society Score (AKSS) functional and clinical scores from baseline to week 52 after TKA in patients with knee osteoarthritis (OA). This population-based cohort study included 22,533 patients identified in the Danish Knee Arthroplasty Register from 1997 to 2021. Patients were classified as having low, medium, or high comorbidity based on CCI. The outcome was defined as the mean change (from preoperative to 1-year post-TKA) in functional and clinical knee scores measured by the AKSS (0-100). The association was analyzed using multiple linear regression by calculating mean change scores adjusting for sex, age, weight, cohabiting status, and baseline AKSS. The prevalence of patients with low, medium, and high comorbidity was 75%, 21%, and 4%, respectively. The mean change score in functional AKSS for patients with high comorbidity was -6 points (95% confidence interval [CI] -7 to -5) compared with low comorbidity. The mean change score in clinical AKSS for patients with high comorbidity was -1 point (CI -2 to 0) compared with low comorbidity. Patients with knee OA and medium or high comorbidity can expect similar improvements in functional and clinical AKSS after TKA to patients with low comorbidity.

Cognitive Dysfunction Screening in Peritoneal Dialysis Patients: A Cross-Sectional Study.

Mild cognitive impairment (MCI) in peritoneal dialysis (PD) patients has been described as a risk factor for worse outcomes such as peritonitis, technique failure, and mortality. In this study, we aimed to determine the prevalence of MCI in a population of PD patients and identify the possible risk factors associated with MCI. We performed an observational, cross-sectional study to evaluate cognitive function using the Montreal Cognitive Assessment (MOCA) test and the Mini Mental State Examination (MMSE) test in PD patients. Patients with diagnosis of dementia or severe neurologic impairment, active cancer, or infection were excluded. We evaluated 66 patients (mean age 60 years); 53% were male. Prevalence of MCI assessed by MOCA test and MMSE test was 65% and 33%, respectively. Predictors of MCI with MOCA test were higher age (P = 0.0001), lower education level (P = 0.005), need of a helper (P = 0.009), and continuous ambulatory PD modality (P = 0.019). Higher Charlson comorbidity index (P = 0.002), coronary artery disease (P = 0.006), and peripheral artery disease (P = 0.033) were also associated with MCI. Lower Kt/V (P = 0.012) and lower levels of normalized protein catabolic rate (nPCR; P < 0.000) were related to MCI. MCI patients had more episodes of peritonitis (P = 0.047). Multivariable analysis showed that lower education, Kt/V, and nPCR were the most relevant factors connected to MCI (P = 0.029, P = 0.037, and P = 0.019, respectively). In our PD population, MCI was detected in more than half of the patients. Patients with MCI were older, had lower education level, more disease burden, and higher risk for developing peritonitis. Lower Kt/V and nPCR levels were associated with MCI.

Predictive Factors for Major Complications and Urological Cancer Diagnosis in Older Adults (≥80 Years) Admitted to the Emergency Department for Hematuria.

Background: Gross Hematuria is a relevant cause of admission to the emergency department in the general population and particularly in older adults (≥80 years). This specific urological symptom is often underestimated and usually associated with benign conditions such as urinary infections or poor hydration. Nevertheless, hematuria could lead to severe acute complications or be the first symptom of urological cancers. Methods: We retrospectively analyzed clinical data from 1169 patients aged ≥80 years consecutively admitted to the emergency department for hematuria. The primary endpoint of the study was to identify risk factors for major complications, and the secondary endpoint was to analyze risk factors for urological cancer diagnosis. The median age was 85 years (IQR 82-88 years), and 908 (77%) were males. Among them, 449 (38.4%) had a past medical history of urological neoplasm (kidney, ureter, bladder, prostate, or urethral cancer). Results: Overall, 87 patients (7.4%) had major complications (patient death, septic shock, and admission to the intensive care unit). Worse vital signs at admission, fever, and confusion (p < 0.001, OR 18.0 IC 95% [5.5-58.7]; p = 0.015, OR 2.0 IC 95% [1.1-3.5]; p = <0.001, OR 4.2 IC 95% [1.9-3.5], respectively), as well as lower hemoglobin values and higher Charlson comorbidity index (p < 0.001, OR 0.8 IC 95% [0.7-0.9]), p = 0.002, OR = 1.2 [1.1-1.3]) were independent predictive factors for major complications. The multivariate analysis identified as risk factors for diagnosis of urological cancer older age, male sex and higher comorbidity (OR 1.05 IC95% [1-1.09]; OR 2.19 IC95% [1.42-3.39] and OR 1.11 IC95% [1.2-1.2], respectively); interestingly the presence of indwelling vesical catheter (IVC) (OR 0.44 IC95% [0.24-0.82]) resulted as an independent factor for absence of urological cancers. Conclusions: Hematuria is a frequent symptom in older adults admitted to the emergency department. While this is often associated with benign conditions, there are some risk factors for major complications and for urological cancer that must be taken into account to identify the patients who need further evaluation or prompt hospital admission.

The Effect of the Charlson Comorbidity Index On In-Hospital Complications, Hospital Length of Stay, Mortality, and Readmissions Among Patients Hospitalized for Acute Stroke.

Aim A notable number of people who develop stroke have comorbid medical conditions. The aim of this study is to evaluate the use of the Charlson Comorbidity Index (CCI) to predict in-hospital complications, mortality, length of stay, and readmission rates in stroke patients. Method It is a retrospective study that analyzed patients who were admitted for stroke in a six-monthtime duration. Stroke was classified into ischemic, hemorrhagic, or undetermined; hospital complications were classified into medical or neurological. Data regarding comorbidities, complications, length of stay, mortality, and readmissions were documented. Comorbidities were then classified by the CCI and split into four categories: zero, mild (1-2), moderate (3-4) and severe (5+). The data was analyzed using SPSS (IBM, Inc., Armonk, US). Results Four hundred and seventy-three adults aged above 18 were hospitalized for acute stroke. There was no correlation between the severity of the CCI score and mortality. Patients with ischemic stroke had a higher CCI correlated with readmission rate (p=0.026) and hospital complications (p=0.054). The two groups with the highest intensive care unit admission rate were mild, followed by the severe group (p=0.001). Our study also revealed that the patients with severe CCI scores had an increased readmission rate (p=0.001). Conclusion There is a correlation between a high CCI score and readmission rate, as well asCCI score with hospital complications in ischemic stroke. Further prospective studies of a longer duration can be undertaken to find further associations with the potential for this score to be used as a predictor in patients hospitalized for stroke.

Impact of Charlson Comorbidity Index on in-hospital mortality of patients with hyperglycemic crises: A propensity score matching analysis.

This study was designed to investigate the association between Charlson Comorbidity Index (CCI) and in-hospital mortality and other clinical outcomes among patients with hyperglycemic crises. This retrospective cohort study was conducted using data from electric medical records. A total of 1668 diabetic patients with hyperglycemic crises from six tertiary hospitals met the inclusion criteria. CCI < 4 was defined as low CCI and CCI ≥ 4 was defined as high CCI. Propensity score matching (PSM) with the 1:1 nearest neighbour matching method and the caliper value of 0.02 was used to match the baseline characteristics of patients with high CCI and low CCI to reduce the confounding bias. In-hospital mortality, ICU admission, hypoglycemia, hypokalemia, acute kidney injury, length of stay (LOS), and hospitalisation expense between low CCI and high CCI were compared and assessed. Univariate and multivariate regression were applied to estimate the impact of CCI on in-hospital and other clinical outcomes. One hundred twenty-one hyperglycemic crisis (HC) patients died with a mortality rate of 7.3%. After PSM, compared with low CCI, patients with high CCI suffered higher in-hospital mortality, ICU admission, LOS, and hospitalisation expenses. After multivariate regression, age (aOR: 1.12, 95% confidence interval [CI]: 1.06-1.18, p < 0.001), CCI(aOR: 4.42, 95% CI: 1.56-12.53, p = 0.005), uninsured (aOR: 22.32, 95% CI: 4.26-116.94, p < 0.001), shock (aOR: 10.57, 95% CI: 1.41-79.09, p = 0.022), mechanical ventilation (aOR: 75.29, 95% CI: 12.37-458.28, p < 0.001), and hypertension (aOR: 4.34, 95% CI: 1.37-13.82, p = 0.013) were independent risk factors of in-hospital mortality of HC patients. Besides, high CCI was an independent risk factor for higher ICU Admission (aOR: 5.91, 95% CI: 2.31-15.08, p < 0.001), hypoglycemia (aOR: 2.19, 95% CI:1.01-4.08, p = 0.049), longer LOS (aOR: 1.23, 95% CI: 1.19-2.27, p = 0.021), and higher hospitalisation expense (aOR: 2089.97, 95% CI: 193.33-3988.61, p = 0.031) of HC patients. CCI is associated with in-hospital mortality, ICU admission, hypoglycemia, LOS, and hospitalisation expense of HC patients. CCI could be an ideal indicator to identify, monitor, and manage chronic comorbidities among HC patients.

Use of direct-acting anticoagulants (DOACs) delays surgery and is associated with increased mortality in hip fracture patients

PurposeTreatment with direct-acting oral anticoagulants (DOACs) is increasing among hip-fracture patients, with accompanying safety concerns regarding spinal anesthesia (SA). The aim of this study was to investigate if DOAC use is associated with increased waiting time before surgery, increased mortality, or other adverse events.MethodsRegistry data on surgically treated hip-fracture cases at a single hospital between 2015 and 2021 were analyzed. Multivariable regression analyses were performed with DOAC-status and choice of anesthesia as exposures, and waiting time, length of stay, transfusion, and mortality as outcomes.Results2885 cases were included, 467 patients (16%) were using DOACs. DOAC users were older (86.3 vs. 82.2 years, p < 0.001), had a higher Charlson Comorbidity Index (2.1 vs. 1.5, p < 0.001) and had longer median time to surgery than non-DOAC cases (36 h vs 17 h, p < 0.001). General anesthesia (GA) was used in 19.3% of DOAC patients and in 3.0% of non-DOAC patients. DOAC-patients had an increased risk of one-month mortality (Adjusted Odds Ratio (AOR) 1.6 (1.1–2.3)) and one-year mortality (AOR 1.4 (1.1–1.8)). There were no differences in risk of blood transfusion. Patients on DOAC operated under GA had a lower risk of one-year mortality (AOR 0.5 (0.3–0.9)), but a similar one-month mortality to DOAC-patients operated under SA.ConclusionDOAC users had a longer waiting time to surgery, indicating postponement of surgery due to concerns of the safety of SA. The clinical practice should be changed to allow earlier surgery for DOAC patients.

Antibiotic Laden Bone Cement Does Not Reduce Acute Periprosthetic Joint Infection Risk in Primary Total Knee Arthroplasty

BackgroundPeriprosthetic joint infection (PJI) can be a serious complication of total knee arthroplasty (TKA). A method believed to decrease the incidence of PJI is antibiotic-laden bone cement (ALBC). Current clinical practice guidelines do not recommend ALBC in primary TKA. The purpose of this study was to compare ALBC to plain cement (PC) in preventing PJI in primary TKA. MethodsThis retrospective analysis included 109,242 Medicare patients in the American Joint Replacement Registry who underwent a cemented primary TKA from January 2017 to March 2021, and had at least 1 year of follow-up. Patients who received ALBC were compared to patients who received PC. Demographic and case-specific variables such as age, sex, race, body mass index, Charlson Comorbidity Index, anesthesia type, and operative time were used to create propensity scores. A logistic regression was run to predict the probability of receiving ALBC. Also, a multivariate model was run on the full unstratified population, using the same covariates as were used to create the propensity model. The primary outcome was differences in PJI rates. ResultsLogistic regression analysis showed that a higher preoperative diagnosis of osteoarthritis, higher Charlson Comorbidity Index, higher body mass index, women, race, and anesthesia requirements increased a patient’s probability of receiving ALBC. In the full unstratified multivariate model, ALBC did not show a statistically significant difference in risk of revision for infection compared to PC. ConclusionsThe use of ALBC in primary TKA has not been shown to be more efficacious in preventing PJI within the population of Medicare patients in the United States. However, this study is limited given it is a retrospective database study that may inherently have biases and the large dataset has a potential for overpowering the findings.

Association of socio-demographic factors with clinical outcome among hospitalized patients in first and second waves of COVID-19 pandemic: Study from the developing world.

Recent disease resurgence in China indicates that corona virus infectious disease is still a pertinent public health problem. We stand at a juncture where we are still unsure about the initial dilemmas regarding its birth, therapies, and the emerging novel strains. Medical literature has focused on the clinical, laboratory, radiological, and therapeutic aspects of disease management. There is paucity of literature on the association between socio-demographic variables on disease severity and clinical outcome. This retrospective observational study analyzing the socio-demographic variables was performed at a dedicated COVID care center in western Maharashtra, India. Electronic records of all individuals who were admitted to this hospital from July 29 2020, to June 14, 2021, and diagnosed COVID-19 positive by reverse transcriptase polymerase chain reaction (RT-PCR) were identified after due institutional ethical clearance. Patients admitted from July 29, 2020, to February 27, 2021, were categorized as patients presenting during the 'first wave of viral pandemic'. Those admitted from March 01, 2021, to June 14, 2021, have been included as patients admitted during 'second wave of viral pandemic'. The following outcome parameters were collected (presenting symptoms, duration of symptoms before the individual presented for diagnostic RT-PCR, total duration of symptoms, severity of disease at onset, duration of hospital stay, the final outcome (discharge/death) and Charlson's comorbidity index). The linear regression model was used to establish association between socio-demographic factors and disease severity at onset (mild/moderate/severe/critical). A total of 37033 patients were screened, and the positivity rate with RT-PCR was 16.99% (n = 6275) during the study period. Out of which 45% (n = 2824) of the patients had mild disease requiring home isolation and the remaining 55% of patients required admission. 1590 patients from the first wave and 910 from the second wave of COVID-19 were hospitalized and included in the study after exclusion. The mean age of patients in first wave was 49 years and that in second wave was 54 years with 77.6% and 70.6% males in two waves, respectively. The burden of critical cases was higher in second wave as computed to first wave (10% vs 8%). The second wave had more outreach in the rural population as compared to second one (17.8% vs 12.2%). The mean duration from the onset of symptoms to hospitalization was 03 and 04 days, respectively, in two waves. Mortality associated in two waves was 11.9% and 24%, respectively (P < 0.05). Higher Charlson's comorbidity index was associated with higher mortality, and the cumulative survival from urban area was more as compared to the rural population (log rank - 9.148, P = 0.0002). The second COVID-19 wave had significantly higher case mortality. It affected elderly patients and those with rural background. The factors associated with higher mortality during COVID-19 pandemic were rural background, higher Charlson's comorbidity index and late presentation to the hospital. Ongoing vaccine campaigns, thus, should focus on rural areas and individuals with comorbidities especially in developing and least developed countries.

Predictors of Same-day Discharge After Single-port Transvesical Enucleation of the Prostate

To determine the rate of outpatient cases and identify predictors for same-day discharge (SDD) after single-port transvesical enucleation of the prostate (STEP). Retrospective analysis of all consecutive STEP cases performed at a single center by 3surgeons from February 2019 to October 2023. The cohort was categorized into SDD cases (<8hoursuntil discharge) and inpatient cases. Group comparisons were made and logistic regression was used to identify predictors of SDD. A total of 152 STEP cases were performed successfully without additional ports or conversions. Fifty-two patients were pre-planned admissions, leaving 100 planned outpatient cases, of which 86% were discharged on the same day (median length of stay of 4.7hours). Comparing the groups, inpatient cases were older, had higher Charlson Comorbidity Index (CCI) scores, higher estimated blood loss (EBL) during surgery, and more intraoperative complications than SDD patients. Univariate logistic regression identified age and CCI as the predictors associated with SDD after STEP. Notably, there were no major postoperative complications or readmissions in either group. In our 4-year experience with STEP, lower age and CCI score were significant predictors of SDD. The comprehensive evaluation criteria for discharge foster a safe recovery at home, coupled with a 0% rate of major postoperative complications and readmissions. These findings underscore the safety and efficacy of STEP, guiding patient counseling and surgeon expectations.

Outcomes Following Surgical Fixation of Distal Radius Fractures in Patients With Chronic Kidney Disease

Moderate-to-severe chronic kidney disease (CKD, stages III-IV) and end-stage renal disease (ESRD or CKD stage V) are known to be independent risk factors for fragility fracture. Altered bone and mineral metabolism contributes to greater complications and mortality rates in the setting of fractures, although most existing literature is limited to hip fractures. We hypothesized that patients with moderate-to-severe CKD or ESRD would have greater complication rates after surgical treatment of distal radius fractures compared with those without CKD. We retrospectively identified all patients at a level 1 trauma center between 2008 and 2018 who had a diagnosis of stage III-IV CKD or ESRD at the time of operative fixation of a distal radius fracture. We recorded demographic data, comorbidities, and surgical complications. Data for readmissions within 90 days and 1-year mortality were collected. A 2:1 sex-matched control group without CKD who underwent distal radius fixation was selected for comparison, with age-adjusted analysis. A total of 32 patients with CKD (78.1% CKD stage III/IV, 21.9% ESRD) and 62 without CKD were identified. The mean age was 67 ± 12 years in the CKD group and 55 ± 15 years in the control group. The CKD group had a higher Charlson Comorbidity Index (5.7 vs 2.0). Surgical complication rate in the CKD group was 12.5% (12.0% CKD III/IV; 14.3% ESRD). Neither early nor late surgical complication rates were statistically different from those in patients without CKD. Reoperation rate as well as 30- and 90-day readmission rates were similar between groups. Overall, 1-year mortality was greater in the CKD group (9.4% vs 0%). Surgical complications and readmission rates are similar in patients with and without CKD after distal radius fracture fixation. However, 1-year mortality rate is significantly higher after distal radius fixation in patients with moderate-to-severe CKD or ESRD. Prognostic IIIa.

Identification of distinct symptom profiles in prostate cancer patients with cancer-related cognitive impairment undergoing androgen deprivation therapy: A latent class analysis

ObjectiveTo identify latent classes of cognitive impairment and co-occurring symptoms (fatigue, pain, sleep disturbance, depression) as clusters in patients with prostate cancer undergoing androgen deprivation therapy and to explore the predictors among distinct latent classes. MethodsA total of 228 patients with prostate cancer were recruited in this cross-sectional study. The assessment instrument included the Perceived Cognitive Impairment Scale, the Fatigue Severity Scale, the Athens Insomnia Scale, the Brief Pain Inventory, the Patient Health Questionnaire-9, the UCLA Loneliness Scale, the International Physical Activity Questionnaire - Short Form, the Charlson comorbidity index, and General Information questionnaire. The identification of different patient subgroups was done by the latent class analysis. ResultsThe study identified three distinct latent classes: all low symptoms (class 1, 32%), high depression symptoms (class 2, 37.7%), and high physical symptoms (fatigue, sleep disturbance, and pain) with high cognitive impairment (class 3, 30.3%). Patients who had higher Charlson comorbidity index (P = 0.003) scores were more likely to be classified in class 3. Patients with higher loneliness scores (P < 0.001; P < 0.001) were significantly more likely to fall into class two or three than in class 1. However, having a higher level of physical activity (P = 0.014; P < 0.001) increased the likelihood of being in class 1. ConclusionsThis study exhibited the inter-individual variability of symptom experience in prostate cancer patients with cognitive impairment undergoing androgen deprivation therapy. The result suggests that more emphasis should be placed on screening for fatigue, sleep disturbance, and pain, and future interventions should focus on loneliness and physical activity.

Tuberculosis and osteoporotic fracture risk: development of individualized fracture risk estimation prediction model using a nationwide cohort study.

Tuberculosis (TB) is linked to sustained inflammation even after treatment, and fracture risk is higher in TB survivors than in the general population. However, no individualized fracture risk prediction model exists for TB survivors. We aimed to estimate fracture risk, identify fracture-related factors, and develop an individualized risk prediction model for TB survivors. TB survivors (n = 44,453) between 2010 and 2017 and 1:1 age- and sex-matched controls were enrolled. One year after TB diagnosis, the participants were followed-up until the date of fracture, death, or end of the study period (December 2018). Cox proportional hazard regression analyses were performed to compare the fracture risk between TB survivors and controls and to identify fracture-related factors among TB survivors. During median 3.4 (interquartile range, 1.6-5.3) follow-up years, the incident fracture rate was significantly higher in TB survivors than in the matched controls (19.3 vs. 14.6 per 1,000 person-years, p < 0.001). Even after adjusting for potential confounders, TB survivors had a higher risk for all fractures (adjusted hazard ratio 1.27 [95% confidence interval 1.20-1.34]), including hip (1.65 [1.39-1.96]) and vertebral (1.35 [1.25-1.46]) fractures, than matched controls. Fracture-related factors included pulmonary TB, female sex, older age, heavy alcohol consumption, reduced exercise, and a higher Charlson Comorbidity Index (p < 0.05). The individualized fracture risk model showed good discrimination (concordance statistic = 0.678). TB survivors have a higher fracture risk than matched controls. An individualized prediction model may help prevent fractures in TB survivors, especially in high-risk groups.

Upfront laparotomy versus conversion from minimally invasive surgery to open surgery in colon cancer: Is there a difference in outcomes?

BackgroundIt is unclear whether conversion from minimally invasive surgery to laparotomy in patients with colon cancer contributes to worse outcomes compared with those operated by laparotomy. In this study, we aimed to assess the implications of transitioning from minimally invasive surgery to laparotomy in patients with colon cancer compared with patients undergoing upfront laparotomy. MethodsA retrospective analysis of the National Cancer Database, including patients with stages I to III colon cancer (2010–2019). Patients who underwent either upfront laparotomy (Open Surgery Group) or minimally invasive surgery converted to open surgery (Converted Surgery Group) were included. Groups were balanced using propensity-score matching. Primary outcome was overall survival, and secondary outcomes included 30- and 90-day mortality and 30-day readmission rates. ResultsThe study included 65,083 operated patients with stage I to III colon cancer; 57,091 patients (87.7%) were included in the Open Surgery group and 7,992 (12.3%) in the Converted Surgery group. 93.5% were converted from laparoscopy, and 6.5% were converted from robotic surgery. After propensity-score matching, 7,058 patients were included in each group. Median overall survival was significantly higher in the Converted Surgery group (107.3 months) than in the Open Surgery group (101.5 months; P = .006). A survival benefit was seen in patients >65 years of age (79.5 vs 71.9 months; P = .001), left-sided disease (129.4 vs 114.5 months; P < .001), and with a high Charlson comorbidity index score (=3; 58.9 vs 42.3 months; P = .03). Positive margin rates were similar between the groups (6.3% vs 5.6%; P = .07). Converted patients had a higher 30-day readmission rate (6.7% vs 5.6%, P = .006) and shorter duration of stay (median, 5 vs 6 days, P < .001) than patients in the Open Surgery group. In addition, 30-day mortality was comparable between the groups (2.9% vs 3.5%; P = .07). ConclusionConversion to open surgery from minimally invasive surgery was associated with better overall survival compared with upfront open surgery. A survival benefit was mainly seen in patients >65 years of age, with significant comorbidities, and with left-sided tumors. We believe these data suggest that, in the absence of an absolute contraindication to minimally invasive surgery, it should be the preferred approach in patients with colon cancer.

Adjuvant chemotherapy in stage 1 colon cancer: Patient characteristics and survival analysis from the national cancer database

BackgroundA subset of patients in ACS-NCDB with stage-1 colon cancer received adjuvant chemotherapy (AC), in contrast to national guidelines. This study aimed to define this population and evaluate associations between AC and survival. MethodsPatients with T1-2N0 colon cancer from 2004 to 2016 were separated into AC and non-AC groups. Adverse pathological features (APF) included T2, poor differentiation, lymphovascular invasion, positive margin, and inadequate lymph nodes (<12). Cox proportional hazard models were used to estimate prognostic factors for overall survival (OS). ResultsA total of 1745 of 139,857 patients (1.2 %) received AC. Receiving AC was associated with male sex (p = 0.02), uninsured (p < 0.01), low income (p = 0.02), or having ≥2 APFs (p < 0.001). In the total cohort, AC was associated with increased mortality (HR 1.14 [1.04–1.24] P < 0.01). On subset analysis, AC was associated with improved OS for patients with ≥2 APFs (log-rank P=<0.001), and decreased mortality when adjusted for covariates (HR 0.81 [0.69–0.95] P=<0.01). The most significant predictor of mortality was old age (HR 3.78 [3.67, 3.89] p ≤ 0.01), followed by higher Charlson Comorbidity Index (HR 1.73 [1.69, 1.76] (p ≤ 0.01), and higher APF score (HR 1.46 [1.42, 15.2] p ≤ 0.01). ConclusionAC was associated with decreased survival in the total cohort of stage 1 colon cancer patients, but was associated with improved survival for patients with multiple APFs.

Treatment selection and real-world analysis of immunotherapy with or without chemotherapy in PD-L1-high metastatic non-small cell lung cancer.

Lung cancer is the leading cause of cancer death in Australia. Immunotherapy has improved outcomes in patients with metastatic non-small cell lung cancer (NSCLC). Pembrolizumab is approved in first-line treatment as single-agent immunotherapy (SAI) or combination chemoimmunotherapy (CIT). In metastatic NSCLC programmed death-ligand 1 (PD-L1) ≥50% either regimen may be used. We aim to identify patient and tumour characteristics that influence treatment selection. This is a retrospective observational study. Pharmacy records identified patients with metastatic/recurrent NSCLC receiving pembrolizumab at two metropolitan centres in Victoria, Australia, since 2018. Demographics, tumour characteristics, Charlson Comorbidity Index (CCI) and treatment data were collected. Descriptive and multivariate analyses were performed. Sixty-one patients had metastatic NSCLC PD-L1 ≥50% and received pembrolizumab with median age of 65.6 years, Eastern Cooperative Oncology Group 0-1 in 82%. CIT was administered to 23% (14) with no difference in rate of delivery between centres (P = 0.808). CCI mean score differed (3.38 SAI vs 2.36 CIT, P = 0.042). Patients with high CCI score (≥2) were less likely to receive CIT (OR = 0.15, P = 0.003, 95% confidence interval (CI) 0.04-0.57). Primary tumours over 5 cm were more likely to receive CIT (OR = 3.74, P = 0.043, 95% CI = 1.04-13.42). Site-specific metastases of liver, brain and pericardial effusion were not associated with CIT. Patients with higher comorbidity score were less likely to receive CIT, suggesting chemotherapy avoidance in comorbid patients. Larger tumours are associated with CIT use, indicating that oncologists may use tumour size as a surrogate of disease burden. Limitations include small sample size and data cut-off. Future prospective studies could incorporate comorbid status and a validated disease burden score to stratify patients.

Traumatic spinal cord injury in South Korea for 13 years (2008–2020)

Traumatic spinal cord injury (TSCI) has significant physical, psychological, and socioeconomic impacts. However, the epidemiological characteristics and treatment patterns of TSCI in South Korea remain unclear. This study aimed to investigate TSCI incidence and treatment behaviors in South Korea from 2008 to 2020. We included data from 30,979 newly diagnosed TSCI patients obtained from the Health Insurance Review and Assessment Service (HIRA). Treatment trends, location of surgery, surgical method, comorbidities, factors affecting hospital stay, and risk factors affecting readmission were analyzed. Patients were divided into the surgery group [n = 7719; (25%)] and the non-surgery group [n = 23,260; (75%)]. Surgical cases involved cervical (64%), thoracic (17%), and lumbar/sacral (19%) lesions. Anterior fusion (38%), posterior fusion (54%), and corpectomy (8%) were the surgical methods. Surgical treatments increased annually. Factors influencing hospital stay included male sex, older age, and higher Charlson comorbidity index (CCI). Female sex and higher CCI scores were associated with readmission. In conclusion, a quarter of all TSCI patients underwent surgery, with an upward trend. Risk factors for longer hospital stays were thoracic spine injury, older age, higher CCI, and male sex. Risk factors for readmission included age range of 40–59 years, lumbar/sacral spine injuries, CCI score of 2, and female sex.

PDE5is-naïve versus non-naïve patients at first investigation for erectile dysfunction-findings from a long-term, real-life cross-sectional study.

Phosphodiesterase 5 inhibitors (PDE5is) represent a first-line pharmacological therapy for erectile dysfunction (ED). Men could obtain PDE5is for recreational purposes without any proper medical prescription. We aimed to analyze clinical characteristics of patients who already used any PDE5i for ED without previous formal medical prescription. Data from 2012 heterosexual, sexually active men seeking first medical help for ED at our outpatient clinic between 2005 and 2022 were analyzed. All patients were assessed with a comprehensive sexual and medical history and completed the International Index of Erectile Function (IIEF) at baseline. Comorbidities were scored with the Charlson comorbidity index (CCI). Thereof, according to exposure to any PDE5i before their first visit, patients were subdivided into: PDE5i-naïve and non-PDE5i-naïve patients. Descriptive statistics tested the sociodemographic and clinical characteristics of both groups. A logistic regression model predicted the likelihood of being PDE5i-naïve at the baseline. Linear regression analysis (LRA) estimated the likelihood of being PDE5i-naïve versus non-PDE5i-naïve over the analyzed timeframe. Lastly, local polynomial regression models graphically explored the likelihood of being PDE5i-naïve at the first clinical assessment over the analyzed timeframe, and the sensitivity analyses tested the probability of being PDE5i-naïve at baseline. Overall, 1,491 (70.9%) patients were PDE5i-naïve and 611 (29.1%) were non-PDE5i-naïve at the first assessment. PDE5is-naïve patients were younger, with a lower prevalence of CCI ≥ 1 and of normal erectile function (EF) than non-PDE5i-naïve men (all p<0.05). Multivariable logistic regression found that patients with lower BMI (OR: 0.99), higher IIEF-EF scores (OR: 1.02), lower rates of severe ED (OR: 0.94), and who had been assessed earlier throughout the study timeframe (OR: 1.27) were less likely to be PDE5i-naïve at baseline. Univariate LRA revealed that younger patients (Coeff: -0.02), with lower CCI (Coeff: -0.29) and higher alcohol intake per week (Coeff: 0.52) were more likely to be PDE5i-naïve over the analyzed timeframe. Moreover, for the same IIEF-EF score, patients with higher CCI had lower probability of being PDE5i-naïve. Self-prescription of PDE5is is an attitude presents in the general population, despite this phenomenon has decreased overtime. Current data outline the importance to keep promoting educational campaigns to promote PDE5is as effective and safe medicinal products, while avoiding their improper use.

Characteristics and Outcomes of Hospitalized Patients With Heart Failure and Sarcoidosis: A Propensity-Matched Analysis of the Nationwide Readmissions Database 2010-2019

BackgroundSarcoidosis is associated with a poor prognosis. There is a lack of data examining the outcomes and readmission rates of sarcoidosis patients with heart failure (SwHF) and without heart failure (SwoHF). We aimed to compare the impact of non-ischemic heart failure on outcomes and readmissions in these two groups. MethodsThe US Nationwide Readmission Database was queried from 2010 to 2019 for SwHF and SwoHF patients identified using the International Classification of Diseases, 9th and 10th Editions. Those with ischemic heart disease were excluded, and both cohorts were propensity matched for age, gender, and Charlson Comorbidity Index (CCI). Clinical characteristics, length of stay, adjusted healthcare-associated costs, 90-day readmission and mortality were analyzed. ResultsWe identified 97,961 hospitalized patients (median age 63 years, 37.9% male) with a diagnosis of sarcoidosis (35.9% SwHF vs 64.1% SwoHF). On index admission, heart failure patients had higher prevalences of atrioventricular block (3.3% vs 1.4%, P < .0001), ventricular tachycardia (6.5% vs 1.3%, P < .0001), ventricular fibrillation (0.4% vs 0.1%, P < .0001) and atrial fibrillation (22.1% vs 7.5%, P < .0001). SwHF patients were more likely to be readmitted (hazard ratio 1.28, P < .0001), had higher length of hospital stay (5 vs 4 days, P < .0001), adjusted healthcare-associated costs ($9,667.0 vs $9,087.1, P < .0001) and mortality rates on readmission (5.1% vs 3.8%, P < .0001). Predictors of mortality included heart failure, increasing age, male sex, higher CCI, and liver disease. ConclusionSwHF is associated with higher rates of arrhythmia at index admission, as well as greater hospital cost, readmission and mortality rates compared to those without heart failure.