scholarly journals Frailty Predicts Decreased Survival, More Complications, and Higher Hunt & Hess and Fisher Scores Following an Aneurysmal Subarachnoid Hemorrhage

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Matthew McIntyre ◽  
Vikas Patel ◽  
Andrew Long ◽  
Alex Vonhoof ◽  
Boyi Li ◽  
...  
Keyword(s):  
Independent Predictor ◽  
Aneurysmal Subarachnoid Hemorrhage ◽  
Frailty Index ◽  
Survival Curves ◽  
Rank Analysis ◽  
Frail Patients ◽  
Kaplan Meier ◽  
Discharge Location ◽  
Modified Frailty Index ◽  
To Receive

Abstract INTRODUCTION Aneurysmal SAH (aSAH) is associated with high rates of morbidity and mortality, yet frailty's effect on aSAH outcomes has not been explored. The most common method of measuring frailty is via the modified frailty index (mFI). We hypothesized that increasing frailty is associated with poorer outcomes following an aSAH. METHODS Patients with aSAH were retrospectively identified from angiogram records. The cohort was divided into nonfrail (mFI = 0-1) and frail (mFI = 2) groups based on prehemorrhage characteristics. Primary outcomes were mortality, discharge location, complications (without vasospasm), and vasospasm. Groups were compared using Fishers exact or Mann-Whitney tests, and Kaplan-Meier survival curves were generated for Log-Rank analysis. RESULTS A total of 217 patients with aSAH were identified, 57 of whom were classified as frail (mean mFI = 1.0 ± 0.08). The average Hunt & Hess (HH) and Fisher scores were 2.9 ± 0.09 and 3.7 ± 0.04, respectively. 167 (77%) of patients had = 1 complication, 124 (57.1%) developed vasospasm, but only 41 (18.9%) died, and 74 (34%) were discharged home. Frail patients were significantly older (66 vs 55 yr; P < .0001), had higher rates of hyperlipidemia (OR = 2.2; 95% CI: 1.2-4.3; P = .0219), and had higher HH (P = .005) and Fisher (P = .0255) scores. Frail patients were less likely to receive an intervention (OR = 0.3; 95% CI: 0.1-0.6; P = .0056), less likely to be discharged home (OR = 0.32; 95% CI: 0.16-0.68; P = .0020), had a higher mortality rate (OR = 2.4; 95% CI: 1.2-5; P = .0183), and were more likely develop a complication (OR = 2.6; 95% CI: 1.1-6.6; P = .0277). Log-Rank testing of Kaplan-Meier curves found that frail individuals have a significantly decreased survival compared to non-frail individuals (X2 (1) = 6.939; P = .0084). There were no differences in vasospasm rates between groups. CONCLUSION Frailty is an independent predictor of higher HH and Fisher scores following aSAH, along with lower rates of aneurysm intervention, discharge home, and survival. This relationship has never been demonstrated for aSAH and is valuable for risk stratification and prognostication in aSAH patients.

scholarly journals Impact of frailty on the management of patients with gynecological cancer aged 80 years and older

2020 ◽  
Author(s):  
Elisabeth Reiser ◽  
Nina Pötsch ◽  
Veronika Seebacher ◽  
Alexander Reinthaller ◽  
Friedrich Wimazal ◽  
...  
Keyword(s):  
Overall Survival ◽  
Complication Rate ◽  
Standard Therapy ◽  
Frailty Index ◽  
Tumor Board ◽  
Common Finding ◽  
Advanced Tumor Stage ◽  
Gynecological Malignancy ◽  
Frail Patients ◽  
To Receive

Abstract Purpose To assess the impact of frailty on compliance of standard therapy, complication, rate and survival in patients with gynecological malignancy aged 80 years and older. Methods In total, 83 women with gynecological malignancy (vulva, endometrial, ovarian or cervical cancer) who underwent primary treatment between 2007 and 2017 were retrospectively analyzed. Frailty index was calculated and its association with compliance of standard treatment, peri- and postoperative mortality and morbidity, and survival was evaluated. Results Frailty was observed in 24.1% of cases. Both frail and non-frail patients were able to receive standard therapy in most cases − 75.0% and 85.7%, respectively (p = 0.27). Frail patients did not show an increased postoperative complication rate. Frail patients had shorter 3 years overall survival rates (28%) when compared to non-frail patients (55%) (p = 0.02). In multivariable analysis high frailty index (Hazard Ratio [HR] 12.15 [1.39–106.05], p = 0.02) and advanced tumor stage (HR 1.33 [1.00–1.76], p = 0.05) were associated with poor overall survival, but not age, histologic grading, performance status, and compliance of standard therapy. Conclusion Majority of patients was able to receive standard therapy, as suggested by the tumor board, irrespective of age and frailty. Nonetheless, frailty is a common finding in patients with gynecological malignancy aged 80 years and older. Frail patients show shorter progression-free, and overall survival within this cohort.

scholarly journals Characteristics and outcomes of frail patients with suspected infection in intensive care units: a descriptive analysis from a multicenter cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Akira Komori ◽  
◽  
Toshikazu Abe ◽  
Kazuma Yamakawa ◽  
Hiroshi Ogura ◽  
...  
Keyword(s):  
Cohort Study ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Vulnerable Groups ◽  
Survival Curves ◽  
Multicenter Cohort Study ◽  
Suspected Infection ◽  
Multicenter Cohort ◽  
Frail Patients ◽  
Kaplan Meier

Abstract Background Frailty is associated with morbidity and mortality in patients admitted to intensive care units (ICUs). However, the characteristics of frail patients with suspected infection remain unclear. We aimed to investigate the characteristics and outcomes of frail patients with suspected infection in ICUs. Methods This is a secondary analysis of a multicenter cohort study, including 22 ICUs in Japan. Adult patients (aged ≥16 years) with newly suspected infection from December 2017 to May 2018 were included. We compared baseline patient characteristics and outcomes among three frailty groups based on the Clinical Frailty Scale (CFS) score: fit (score, 1–3), vulnerable (score, 4), and frail (score, 5–9). We conducted subgroup analysis of patients with sepsis defined as per Sepsis-3 criteria. We also produced Kaplan–Meier survival curves for 90-day survival. Results We enrolled 650 patients with suspected infection, including 599 (92.2%) patients with sepsis. Patients with a median CFS score of 3 (interquartile range [IQR] 3–5) were included: 337 (51.8%) were fit, 109 (16.8%) were vulnerable, and 204 (31.4%) were frail. The median patient age was 72 years (IQR 60–81). The Sequential Organ Failure Assessment scores for fit, vulnerable, and frail patients were 7 (IQR 4–10), 8 (IQR 5–11), and 7 (IQR 5–10), respectively (p = 0.59). The median body temperatures of fit, vulnerable, and frail patients were 37.5 °C (IQR 36.5 °C–38.5 °C), 37.5 °C (IQR 36.4 °C–38.6 °C), and 37.0 °C (IQR 36.3 °C–38.1 °C), respectively (p < 0.01). The median C-reactive protein levels of fit, vulnerable, and frail patients were 13.6 (IQR 4.6–24.5), 12.1 (IQR 3.9–24.9), 10.5 (IQR 3.0–21.0) mg/dL, respectively (p < 0.01). In-hospital mortality did not statistically differ among the patients according to frailty (p = 0.19). Kaplan–Meier survival curves showed little difference in the mortality rate during short-term follow-up. However, more vulnerable and frail patients died after 30-day than fit patients; this difference was not statistically significant (p = 0.25). Compared with the fit and vulnerable groups, the rate of home discharge was lower in the frail group. Conclusion Frail and vulnerable patients with suspected infection tend to have poor disease outcomes. However, they did not show a statistically significant increase in the 90-day mortality risk.

53 Frailty is Not Only a Phenomenon of Elderly Burn Patients

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S38-S39
Author(s):  
Kathleen S Romanowski ◽  
Melissa J Grigsby ◽  
Soman Sen ◽  
Tina L Palmieri ◽  
David G Greenhalgh
Keyword(s):  
Chart Review ◽  
Burn Injury ◽  
Frailty Index ◽  
Age Groups ◽  
Retrospective Chart Review ◽  
Burn Injuries ◽  
Burn Patients ◽  
Chi Square ◽  
Frail Patients ◽  
Modified Frailty Index

Abstract Introduction Recent evidence indicates that increased frailty is associated with increased mortality in patients with burn injuries over the age of 50 years old. This work found that 35.7% of burn patients over 65 years old were frail at the time of their burn admission while 19.2% of burn patients 50 to 64 years old were frail. While frailty is associated with increased age the two are separate entities suggesting that frailty may be present in much younger patients who present with burn injuries. We hypothesize that frailty exists in all age groups of patients presenting with burn injury and the prevalence increases with age. Methods Following IRB approval, a 5-year (2014–2019) retrospective chart review was conducted of all burn patients admitted to the burn center. Data collected includes age, gender, and burn size (% TBSA). Frailty was determined using the Modified Frailty Index 11 (MFI 11) from co-morbidities included in the burn registry. Patients were considered frail if they have an MFI ³ 2 and pre-frail for an MFI³1 and &lt; 2. Patients were assessed by decades for age. Statistical analysis included descriptive statistics, chi-square, and t-tests. Results A total of 2173 patients (mean age 46.1±17.3 years, 1584 males (72.8%), mean % TBSA 12.5±16.3%) were analyzed. All age groups included patients who were pre-frail (Table 1). In the under 20-year-old group, 8.5% were pre-frail. This increases with each age group to the 71-80-year-old group in which 41.7% of patients are pre-frail. The over 80-year-old group had slightly fewer pre-frail patients (35.9%). There were no frail patients in the under 20-year-old group. In the 21–30 there were 3 patients (0.7%) that had an MFI of 2 or more placing them in the frail group. Frailty was significantly different across the age groups (p&lt; 0.001). As patients age, the proportion of female patients increases (from 17.6% to 37.5%. p&lt; 0.0001). Frailty was also associated with gender with women having a higher percentage of frailty (p=0.0006). With respect to burn size, age category was not associated with burn size (p=0.12), but frail patients had smaller burns than non-frail or pre-frail patients (9.5% vs. 13.3% vs. 12.2%, p=0.0002). Conclusions Pre-frail patients were identified in all age groups. Frailty was present in all age groups except for those who are under 20 years of age. Frailty was associated with female sex and smaller burns. By not specifically looking for frailty in all burn patients admitted to the hospital we are potentially missing frail patients who may benefit from interventions to improve their outcomes.

Evaluation of Gore-Tex Graft Patency in Hemodialysis Access

2003 ◽  
Vol 4 (2) ◽  
pp. 45-49 ◽  
Author(s):  
A. Kawecka ◽  
A. DȨbska-Ślizien ◽  
G. Korejwo ◽  
J. Prajs ◽  
E. Król ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Graft Patency ◽  
Upper Extremities ◽  
Study Group ◽  
Secondary Patency ◽  
Hemodialysis Access ◽  
Survival Curves ◽  
Rank Analysis ◽  
Kaplan Meier ◽  
Steal Syndrome

Aim The purpose of this retrospective study was to analyze the patency and complications of Gore-Tex grafts used in hemodialysis (HD) access. Methods In the last 16 years, 1649 surgical procedures were performed on 655 patients to ensure and maintain permanent HD access. The study group consisted of 64 HD patients on whom 81 vascular synthetic PTFE Goretex grafts were performed. There were 28 males and 36 females, 3 of them were children (4.7%). Mean age was 54.2 years (range 15–77). Two types of Gore-Tex prosthesis were used: Diastat and Stretch. All grafts were implanted in the upper extremities. Kaplan-Meier survival curves were calculated to determine primary and secondary patency. Log-rank analysis was used to determine differences between curves. Results Primary and secondary patency at 12 months was 52.5% and 67.5%, and at 18 months respectively 41.5% and 58.2%. The Diastat graft had a lower primary and secondary patency compared with the Stretch graft (respectively p = 0.02 and p = 0.008). Factors such as gender, coexisting diabetes and hypertension did not determine graft patency. Thrombosis was one of the most frequent complications. The remaining complications included stenosis, pseudoaneurysms, infection, steal syndrome and seroma. Conclusion On the basis of our experience Stretch grafts appear a better option for creating vascular access for HD than Diastat grafts.

54 Modified Frailty Index is an Independent Predictor of Death in the Burn Population: A Secondary Analysis of the Transfusion Requirement in Burn Care Evaluation (TRIBE) Study

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S39-S39
Author(s):  
John A Andre ◽  
Kathleen S Romanowski ◽  
Justin A Mandell ◽  
David G Greenhalgh ◽  
Tina L Palmieri ◽  
...  
Keyword(s):  
Transfusion Requirement ◽  
Independent Predictor ◽  
Frailty Index ◽  
Secondary Analysis ◽  
Female Gender ◽  
P Value ◽  
Continuous Variables ◽  
Burn Care ◽  
Modified Frailty Index ◽  
Care Evaluation

Abstract Introduction Previous studies in the burn population have noted frailty as an independent predictor of inpatient and outpatient mortality. The Modified Frailty Index (MFI) uses comorbidities tracked by the American College of Surgeons National Surgical Quality Improvement Program to help to predict morbidity and mortality in patients. The purpose of this study was to determine whether or not the MFI-5 and MFI-11 would predict mortality in the burn population. Methods A secondary analysis of the prospective, randomized, multicenter Transfusion Requirement in Burn Care Evaluation (TRIBE) study was conducted. Statistical analysis with chi-square for categorical variables and student’s t-test for continuous variables were conducted. Frailty was determined using the MFI-5 (functionally dependent, diabetes mellitus, chronic obstructive pulmonary disease, congestive heart failure, hypertension) and MFI-11 (using the aforementioned 5, as well as myocardial infarction, hypertension, delirium, transient ischemic attack/cerebrovascular accident (without deficits), cerebrovascular accident (with deficits), peripheral vascular disease) from comorbidities included in the Burn Registry. Patients were considered frail if they had an MFI &gt; 1 on either scale. Multivariate regression was used to compare mortality between those who were and those were not considered frail based on this index. Results A total of 347 patients with a mean age of 43±17 years, 73 women and 274 men, were analyzed. Mean total body surface area burn (TBSA) was 38±18%, and 23% had inhalation injury. As continuous variables, MFI-5 (OR 1.86; 95% CI 1.11–3.11; p-value 0.02) and MFI-11 (OR 1.83; 95% CI 1.18–2.8; p-value 0.007) were independent predictors of mortality. In addition, TBSA total, age, and female gender were all independent predictors of mortality. Having a MFI-11 &gt; 1 was considered an independent predictor of mortality (OR 2.91; 95% CI 1.1–7.7; p-value 0.03); whereas, having a MFI-5 &gt; 1 was not considered an independent predictor of mortality (OR 2.6; 95% CI 0.95–7; p-value 0.06). Conclusions A MFI-11 &gt; 1 in the burn population was an independent predictor of mortality, as were total TBSA, age, and female gender. Given these findings, further study on the predictive value of MFI-11 in major burn injury is warranted.

scholarly journals Characteristics and outcomes of frail patients with suspected infection in intensive care units: a descriptive analysis from a multicenter cohort study

2020 ◽  
Author(s):  
Akira Komori ◽  
Toshikazu Abe ◽  
Kazuma Yamakawa ◽  
Hiroshi Ogura ◽  
Shigeki Kushimoto ◽  
...  
Keyword(s):  
Cohort Study ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Vulnerable Groups ◽  
Survival Curves ◽  
Multicenter Cohort Study ◽  
Suspected Infection ◽  
Multicenter Cohort ◽  
Frail Patients ◽  
Kaplan Meier

Abstract Background: Frailty is associated with morbidity and mortality in patients admitted to intensive care units (ICUs). However, the characteristics of frail patients with suspected infection remain unclear. We aimed to investigate the characteristics and outcomes of frail patients with suspected infection in ICUs. Methods: This is a secondary analysis of a multicenter cohort study, including 22 ICUs in Japan. Adult patients (aged ≥16 years) with newly suspected infection from December 2017 to May 2018 were included. We compared baseline patient characteristics and outcomes among three frailty groups based on the Clinical Frailty Scale (CFS) score: fit (score, 1–3), vulnerable (score, 4), and frail (score, 5–9). We conducted subgroup analysis of patients with sepsis defined as per Sepsis-3 criteria. We also produced Kaplan–Meier survival curves for 90-day survival.Results: We enrolled 650 patients with suspected infection, including 599 (92.2%) patients with sepsis. Patients with a median CFS score of 3 (interquartile range [IQR] 3–5) were included: 337 (51.8%) were fit, 109 (16.8%) were vulnerable, and 204 (31.4%) were frail. The median patient age was 72 years (IQR 60−81). The Sequential Organ Failure Assessment scores for fit, vulnerable, and frail patients were 7 (IQR 4–10), 8 (IQR 5–11), and 7 (IQR 5–10), respectively (p = 0.59). The median body temperatures of fit, vulnerable, and frail patients were 37.5°C (IQR 36.5°C–38.5°C), 37.5°C (IQR 36.4°C–38.6°C), and 37.0°C (IQR 36.3°C–38.1°C), respectively (p < 0.01). The median C-reactive protein levels of fit, vulnerable, and frail patients were 13.6 (IQR 4.6–24.5), 12.1 (IQR 3.9–24.9), 10.5 (IQR 3.0–21.0) mg/dL, respectively (p < 0.01). In-hospital mortality did not statistically differ among the patients according to frailty (p = 0.19). Kaplan–Meier survival curves showed little difference in the mortality rate during short-term follow-up. However, more vulnerable and frail patients died after 30-day than fit patients; this difference was not statistically significant (p = 0.25). Compared with the fit and vulnerable groups, the rate of home discharge was lower in the frail group.Conclusion: Frail and vulnerable patients with suspected infection tend to have poor disease outcomes. However, they did not show a statistically significant increase in the 90-day mortality risk.

scholarly journals Characteristics and outcomes of frail patients with suspected infection in intensive care units: a descriptive analysis from a multicenter cohort study

2020 ◽  
Author(s):  
Akira Komori ◽  
Toshikazu Abe ◽  
Kazuma Yamakawa ◽  
Hiroshi Ogura ◽  
Shigeki Kushimoto ◽  
...  
Keyword(s):  
Cohort Study ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Vulnerable Groups ◽  
Survival Curves ◽  
Multicenter Cohort Study ◽  
Suspected Infection ◽  
Multicenter Cohort ◽  
Frail Patients ◽  
Kaplan Meier

Abstract Background: Frailty is associated with morbidity and mortality in patients admitted to intensive care units (ICUs). However, the characteristics of frail patients with suspected infection remain unclear. We aimed to investigate the characteristics and outcomes of frail patients with suspected infection in ICUs. Methods: This is a secondary analysis of a multicenter cohort study, including 22 ICUs in Japan. Adult patients (aged ≥16 years) with newly suspected infection from December 2017 to May 2018 were included. We compared baseline patient characteristics and outcomes among three frailty groups based on the Clinical Frailty Scale (CFS) score: fit (score, 1–3), vulnerable (score, 4), and frail (score, 5–9). We conducted subgroup analysis of patients with sepsis defined as per Sepsis-3 criteria. We also produced Kaplan–Meier survival curves for 90-day survival.Results: We enrolled 650 patients with suspected infection, including 599 (92.2%) patients with sepsis. Patients with a median CFS score of 3 (interquartile range [IQR] 3–5) were included: 337 (51.8%) were fit, 109 (16.8%) were vulnerable, and 204 (31.4%) were frail. The median patient age was 72 years (IQR 60−81). The Sequential Organ Failure Assessment scores for fit, vulnerable, and frail patients were 7 (IQR 4–10), 8 (IQR 5–11), and 7 (IQR 5–10), respectively (p = 0.59). The median body temperatures of fit, vulnerable, and frail patients were 37.5°C (IQR 36.5°C–38.5°C), 37.5°C (IQR 36.4°C–38.6°C), and 37.0°C (IQR 36.3°C–38.1°C), respectively (p < 0.01). The median C-reactive protein levels of fit, vulnerable, and frail patients were 13.6 (IQR 4.6–24.5), 12.1 (IQR 3.9–24.9), 10.5 (IQR 3.0–21.0) mg/dL, respectively (p < 0.01). In-hospital mortality did not statistically differ among the patients according to frailty (p = 0.19). Kaplan–Meier survival curves showed little difference in the mortality rate during short-term. However, more vulnerable and frail patients died after 30-day than fit patients; this difference was not statistically significant (p = 0.25). Compared with the fit and vulnerable groups, the rate of home discharge was lower in the frail group.Conclusion: Frail and vulnerable patients with suspected infection tend to have poor disease outcomes. However, they did not have a statistically significant increased 90-day mortality risk.

scholarly journals Characteristics and Outcomes of Frail Patients with Suspected Infection in Intensive Care Units: A Descriptive Analysis From A Multicenter Cohort Study

2020 ◽  
Author(s):  
Akira Komori ◽  
Toshikazu Abe ◽  
Kazuma Yamakawa ◽  
Hiroshi Ogura ◽  
Shigeki Kushimoto ◽  
...  
Keyword(s):  
Cohort Study ◽  
Intensive Care ◽  
Acute Phase ◽  
Survival Curves ◽  
Multicenter Cohort Study ◽  
Suspected Infection ◽  
Multicenter Cohort ◽  
Frail Patients ◽  
Kaplan Meier ◽  
Vulnerable Patients

Abstract Background: Frailty is associated with morbidity and mortality in patients in intensive care units (ICUs). However, the characteristics of frail patients with suspected infection, including sepsis, remain unclear. We aimed to investigate the characteristics and outcomes of frail patients with suspected infection in ICUs. Methods: This is a secondary analysis of a multicenter cohort study conducted by 22 ICUs in Japan. Adult patients (≥16 years) with newly suspected infection from December 2017 to May 2018 were included. We compared baseline patient characteristics and outcomes between three frailty groups based on the Clinical Frailty Scale (CFS) score: fit (score 1–3), vulnerable (score 4), and frail (score 5–9). We conducted subgroup analysis of patients with sepsis defined based on Sepsis-3 criteria. We also produced Kaplan–Meier survival curves for 90-day survival.Results: We enrolled 650 patients with suspected infection, including 599 (92.2%) patients with sepsis. Patients with a median rating of 3 (3–5) on the CFS were included: 337 (51.8%) were fit, 109 (16.8%) were vulnerable, and 204 were (31.4%) frail. Comorbidities were more common in frail and vulnerable patients than in fit patients. The Sequential Organ Failure Assessment scores for fit, vulnerable, and frail patients were 7 (4–10), 8 (5–11), and 7 (5–10), respectively (p = 0.59). The patients' median body temperatures were as follows: fit 37.5 (36.5–38.5)℃; vulnerable 37.5 (36.4–38.6)℃; and frail 37.0 (36.3–38.1)℃ (p < 0.01). C-reactive protein levels of fit, vulnerable, and frail patients were 13.6 (4.6–24.5), 12.1 (3.9–24.9), 10.5 (3.0–21.0) mg/dL, respectively (p < 0.01). In-hospital mortality did not statistically differ according to frailty (p = 0.19). Kaplan–Meier survival curves showed little difference in the mortality rate during the acute phase. However, more vulnerable and frail patients died after the acute phase than fit patients; this difference was not statistically significant (p = 0.25). Compared with fit or vulnerable patients, fewer frail patients were discharged.Conclusion: Frail and vulnerable patients with suspected infection, including sepsis, tend to have poor disease outcomes after the acute phase of infection.

P1758The novel small leucin-rich repeat protein podocan is an independent predictor of major adverse cardiac events in patients with angiographically-defined coronary artery disease

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K Watthanasuntorn ◽  
J Kandala ◽  
B Shrestha ◽  
C Thongprayoon ◽  
J Victory ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Independent Predictor ◽  
Syntax Score ◽  
Proportional Hazard ◽  
Survival Curves ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Baseline Characteristics ◽  
Artery Disease

Abstract Background Smooth muscle cell (SMC) function determines the clinical course of vascular disease via fibrous cap stability. Podocan is an inhibitor of SMC function and is circulating in peripheral blood rendering it a candidate biomarker to predict MACE in patients with Coronary Artery Disease (CAD). Purpose We designed a prospective cohort study assessing the predictive value of Podocan for cardiovascular outcome (MI, CVA or death) in patients with CAD. Methods 308 patients with angiographic evidence of CAD were enrolled. At index cardiac catheterization Syntax Score was calculated. For patient baseline characteristics see Table. Podocan and CRP-1 were measured using a human Podocan and CRP-1 ELISA. The Kaplan-Meier method was used to construct survival curves, which were compared using the log-rank test. Cox proportional hazard modeling was used for all univariate/multivariate analyses. Statistical analysis was performed using STATA. Results Podocan was detected in 212 patients (69%) with a detection threshold of 0.01 ng/ml. The median Podocan level observed was 1.4±8.2 ng/ml. 96 patients did not have a detectable Podocan level. Mean CRP-1 was 0.117±0.15 mg/ml. Mean Syntax Score was 12±9. Podocan did not correlate with CRP-1. There was also no association between Podocan and Syntax Score, age, BMI, smoking, LDL, and HDL, HgbA1c, LVEF and GFR. At the univariate level, presence of Podocan was associated with an increased rate of MACE (17% Podocan present vs. 7% Podocan absent, p=0.02). Kaplan-Meier survival analysis showed higher event free survival in patients with no detectable Podocan vs. detectable Podocan level (Figure). In a limited multivariate Cox proportional Hazard analysis, Podocan remained an independent predictor of MACE (HR: 2.5; P=0.042) in addition to diabetes, and LV ejection fraction. Baseline Characteristics Total (N=308) Chronic ischemic heart disease (N=273) Acute coronary syndrome (N=35) Age (Year) 66.5±9.5 67±9 61±11 Female (Sex) 106 (33%) 90 (31%) 16 (46%) Hypertension 282 (89%) 244 (89%) 26 (74%) Diabetes 142 (44%) 124 (45%) 11 (31%) Hyperlipidemia 269 (87%) 243 (89%) 26 (74%) CRP (mg/dL) 0.11±0.14 0.10±0.13 0.18±0.19 LVEF (%) 49±10 49±10 48±9.5 CRP, C-reactive protein; LVEF, Left ventricular ejection fraction. Kaplan Meier Survival Curves by Podocan Conclusion Podocan is a novel biomarker independently predicting MACE in secondary prevention of CAD warranting to be further studied in a Multicenter Clinical Trial.

scholarly journals Characteristics and outcomes of frail patients with suspected infection in intensive care units: a descriptive analysis from a multicenter cohort study

2020 ◽  
Author(s):  
Akira Komori ◽  
Toshikazu Abe ◽  
Kazuma Yamakawa ◽  
Hiroshi Ogura ◽  
Shigeki Kushimoto ◽  
...  
Keyword(s):  
Cohort Study ◽  
Intensive Care ◽  
Acute Phase ◽  
Survival Curves ◽  
Multicenter Cohort Study ◽  
Suspected Infection ◽  
Multicenter Cohort ◽  
Frail Patients ◽  
Kaplan Meier ◽  
Vulnerable Patients

Abstract Background Frailty is associated with morbidity and mortality in patients in intensive care units (ICUs). However, the characteristics of frail patients with suspected infection, including sepsis, remain unclear. We aimed to investigate the characteristics and outcomes of frail patients with suspected infection in ICUs. Methods This is a secondary analysis of a multicenter cohort study conducted by 22 ICUs in Japan. Adult patients (≥ 16 years) with newly suspected infection from December 2017 to May 2018 were included. We compared baseline patient characteristics and outcomes between three frailty groups based on the Clinical Frailty Scale (CFS) score: fit (score 1–3), vulnerable (score 4), and frail (score 5–9). We conducted subgroup analysis of patients with sepsis defined based on Sepsis-3 criteria. We also produced Kaplan–Meier survival curves for 90-day survival. Results We enrolled 650 patients with suspected infection, including 599 (92.2%) patients with sepsis. Patients with a median rating of 3 (3–5) on the CFS were included: 337 (51.8%) were fit, 109 (16.8%) were vulnerable, and 204 were (31.4%) frail. The median age of the patients was 72 years (IQR 60 − 81). The Sequential Organ Failure Assessment scores for fit, vulnerable, and frail patients were 7 (4–10), 8 (5–11), and 7 (5–10), respectively (p = 0.59). The patients' median body temperatures were as follows: fit 37.5 (36.5–38.5)℃; vulnerable 37.5 (36.4–38.6)℃; and frail 37.0 (36.3–38.1)℃ (p < 0.01). C-reactive protein levels of fit, vulnerable, and frail patients were 13.6 (4.6–24.5), 12.1 (3.9–24.9), 10.5 (3.0–21.0) mg/dL, respectively (p < 0.01). In-hospital mortality did not statistically differ according to frailty (p = 0.19). Kaplan–Meier survival curves showed little difference in the mortality rate during the acute phase. However, more vulnerable and frail patients died after the acute phase than fit patients; this difference was not statistically significant (p = 0.25). Compared with fit or vulnerable patients, fewer frail patients were discharged. Conclusion Frail and vulnerable patients with suspected infection, including sepsis, tend to have poor disease outcomes after the acute phase of infection.

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