scholarly journals 28. Utilizing the Charleston Comorbidity Index as an Independent Predictor for Outcomes in SARS-Cov-2 Positive Patients

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S20-S20
Author(s):  
Irene Riestra Guiance ◽  
Steven Char ◽  
Ernesto Robalino Gonzaga ◽  
Isabel Riestra ◽  
Minh Q Ho
Keyword(s):  
Hospital Mortality ◽  
Scoring System ◽  
Youden Index ◽  
Multinomial Regression ◽  
Optimal Point ◽  
Severe Condition ◽  
Icu Admission ◽  
Point Increase ◽  
Comorbidity Burden ◽  
Comorbidity Index

Abstract Background Since COVID-19 was declared a pandemic, it has seemed that the virus is nondiscriminatory causing 3.73 million deaths worldwide. The Charleston Comorbidity Index (CCI) is a scoring system predicting the one-year mortality for patients with a range of comorbid conditions and is widely used as a predictor of prognosis and survival for a range of pathologies. This study aims to assess if there is an impact of comorbidity burden on COVID-19 patients by utilizing their CCI score. Charleston Comorbidity Index Score Scoring system for Charleston Comorbidity Index (CCI). Plus 1 point for every decade age 50 years and over, maximum 4 points. Higher scores indicate a more severe condition and consequently, a worse prognosis. Methods Multicenter, retrospective review of patients diagnosed with COVID-19 from January 2020 to September 2020 throughout the HCA Healthcare system. CCI scores for all COVID-19 positive patients were calculated and logistic regression analysis was performed to predict hospitalization and ICU admission by CCI controlling for age, sex and race. A multinomial regression model was also performed to predict discharge status by CCI controlling for age, sex and race. ROC curves to indicate the CCI cut-off point for each outcome (hospitalization, ICU admission and mortality) was performed, and Youden’s Index was used to identify the optimal point. Results In the study timeframe, 92,800 patients were diagnosed with COVID-19 and of those, 48,270 were hospitalized. A one-point increase in CCI was associated with higher odds of hospitalization [OR 1.718; 95% CI 1.696-1.74]. The threshold for significance to predict hospitalization was a CCI of 1.5 (AUC 0.804, Youden Index 0.48) with a specificity (73%) and sensitivity (75%). A one-point increase in CCI was associated with 1.444 higher odds of an ICU admission (95% CI 1.134-1.155). A one-point increase in CCI significantly increased the odds of discharge to hospice compared to any discharge other than hospice [OR 1.162; 95% CI 1.142-1.182]). A one-point increase in CCI score was associated with 1.188 higher odds of in-hospital mortality (95% CI, 1.173-1.203) with a CCI threshold of 3.5 having the highest specificity (50.9%) and sensitivity (79.9%) to predict mortality outcome (AUC 0.704, Youden Index 0.31). Conclusion In conclusion CCI score is an adequate predictor of hospitalization and in-hospital mortality but less so in predicting ICU admission in COVID-19 positive patients. Disclosures All Authors: No reported disclosures

Pre-existing Comorbidity Burden and Patient Perceived Stroke Impact

2020 ◽  
pp. 174749302092083
Author(s):  
Katherine Sewell ◽  
Tamara Tse ◽  
Elizabeth Harris ◽  
Thomas Matyas ◽  
Leonid Churilov ◽  
...  
Keyword(s):  
Outcome Measures ◽  
Charlson Comorbidity Index ◽  
First Year ◽  
Post Stroke ◽  
Stroke Impact Scale ◽  
Point Increase ◽  
Impact Scale ◽  
Comorbidity Burden ◽  
Comorbidity Index ◽  
Perceived Impact

Background Pre-existing comorbidities can compromise recovery post-stroke. However, the association between comorbidity burden and patient-rated perceived impact has not been systematically investigated. To date, only observer-rated outcome measures of function, disability, and dependence have been used, despite the complexity of the impact of stroke on an individual. Aim Our aim was to explore the association between comorbidity burden and patient-rated perceived impact and overall recovery, within the first-year post-stroke, after adjusting for stroke severity, age, and sex. Methods The sample comprised 177 stroke survivors from 18 hospitals throughout Australia and New Zealand. Comorbidity burden was calculated using the Charlson Comorbidity Index. Perceived impact and recovery were measured by the Stroke Impact Scale index and Stroke Impact Scale overall recovery scale. Quantile regression models were applied to investigate the association between comorbidity burden and perceived impact and recovery. Results Significant negative associations between the Charlson Comorbidity Index and the Stroke Impact Scale index were found at three months. At the .25 quantile, a one-point increase on the Charlson Comorbidity Index was associated with 6.80-points decrease on the Stroke Impact Scale index (95%CI: −11.26, −2.34; p = .003). At the median and .75 quantile, a one-point increase on the Charlson Comorbidity Index was associated, respectively, with 3.58-points decrease (95%CI: −5.62, −1.54; p = .001) and 1.76-points decrease (95%CI: −2.80, −0.73; p = .001) on the Stroke Impact Scale index. At 12 months, at the .25 and .75 quantiles, a one-point increase on the Charlson Comorbidity Index was associated, respectively, with 6.47-points decrease (95%CI: −11.05, −1.89; p = .006) and 1.26-points decrease (95%CI: −2.11, −0.42; p = .004) on the Stroke Impact Scale index. For the Stroke Impact Scale overall recovery measure, significant negative associations were found only at the median at three months and at the .75 quantile at 12 months. Conclusion Comorbidity burden is independently associated with patient-rated perceived impact within the first-year post-stroke. The addition of patient-rated impact measures in personalized rehabilitation may enhance the use of conventional observer-rated outcome measures.

scholarly journals Mortality analysis of COVID-19 infection in chronic kidney disease, haemodialysis and renal transplant patients compared with patients without kidney disease: a nationwide analysis from Turkey

2020 ◽  
Vol 35 (12) ◽  
pp. 2083-2095
Author(s):  
Savas Ozturk ◽  
Kenan Turgutalp ◽  
Mustafa Arici ◽  
Ali Riza Odabas ◽  
Mehmet Riza Altiparmak ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Hospital Mortality ◽  
Admission Rate ◽  
Mortality Rates ◽  
Small Sample ◽  
Control Group ◽  
Icu Admission ◽  
Increased Risk ◽  
Comorbidity Burden

Abstract Background Chronic kidney disease (CKD) and immunosuppression, such as in renal transplantation (RT), stand as one of the established potential risk factors for severe coronavirus disease 2019 (COVID-19). Case morbidity and mortality rates for any type of infection have always been much higher in CKD, haemodialysis (HD) and RT patients than in the general population. A large study comparing COVID-19 outcome in moderate to advanced CKD (Stages 3–5), HD and RT patients with a control group of patients is still lacking. Methods We conducted a multicentre, retrospective, observational study, involving hospitalized adult patients with COVID-19 from 47 centres in Turkey. Patients with CKD Stages 3–5, chronic HD and RT were compared with patients who had COVID-19 but no kidney disease. Demographics, comorbidities, medications, laboratory tests, COVID-19 treatments and outcome [in-hospital mortality and combined in-hospital outcome mortality or admission to the intensive care unit (ICU)] were compared. Results A total of 1210 patients were included [median age, 61 (quartile 1–quartile 3 48–71) years, female 551 (45.5%)] composed of four groups: control (n = 450), HD (n = 390), RT (n = 81) and CKD (n = 289). The ICU admission rate was 266/1210 (22.0%). A total of 172/1210 (14.2%) patients died. The ICU admission and in-hospital mortality rates in the CKD group [114/289 (39.4%); 95% confidence interval (CI) 33.9–45.2; and 82/289 (28.4%); 95% CI 23.9–34.5)] were significantly higher than the other groups: HD = 99/390 (25.4%; 95% CI 21.3–29.9; P < 0.001) and 63/390 (16.2%; 95% CI 13.0–20.4; P < 0.001); RT = 17/81 (21.0%; 95% CI 13.2–30.8; P = 0.002) and 9/81 (11.1%; 95% CI 5.7–19.5; P = 0.001); and control = 36/450 (8.0%; 95% CI 5.8–10.8; P < 0.001) and 18/450 (4%; 95% CI 2.5–6.2; P < 0.001). Adjusted mortality and adjusted combined outcomes in CKD group and HD groups were significantly higher than the control group [hazard ratio (HR) (95% CI) CKD: 2.88 (1.52–5.44); P = 0.001; 2.44 (1.35–4.40); P = 0.003; HD: 2.32 (1.21–4.46); P = 0.011; 2.25 (1.23–4.12); P = 0.008), respectively], but these were not significantly different in the RT from in the control group [HR (95% CI) 1.89 (0.76–4.72); P = 0.169; 1.87 (0.81–4.28); P = 0.138, respectively]. Conclusions Hospitalized COVID-19 patients with CKDs, including Stages 3–5 CKD, HD and RT, have significantly higher mortality than patients without kidney disease. Stages 3–5 CKD patients have an in-hospital mortality rate as much as HD patients, which may be in part because of similar age and comorbidity burden. We were unable to assess if RT patients were or were not at increased risk for in-hospital mortality because of the relatively small sample size of the RT patients in this study.

scholarly journals Incidence and Outcomes of Acute Kidney Injury in Patients Admitted to Hospital With COVID-19: A Retrospective Cohort Study

2021 ◽  
Vol 8 ◽  
pp. 205435812110277
Author(s):  
Tyler Pitre ◽  
Angela (Hong Tian) Dong ◽  
Aaron Jones ◽  
Jessica Kapralik ◽  
Sonya Cui ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Acute Kidney Injury ◽  
Cohort Study ◽  
Hospital Mortality ◽  
Disease Severity ◽  
Retrospective Cohort Study ◽  
Odds Ratio ◽  
Retrospective Cohort ◽  
Kidney Injury ◽  
Icu Admission

Background: The incidence of acute kidney injury (AKI) in patients with COVID-19 and its association with mortality and disease severity is understudied in the Canadian population. Objective: To determine the incidence of AKI in a cohort of patients with COVID-19 admitted to medicine and intensive care unit (ICU) wards, its association with in-hospital mortality, and disease severity. Our aim was to stratify these outcomes by out-of-hospital AKI and in-hospital AKI. Design: Retrospective cohort study from a registry of patients with COVID-19. Setting: Three community and 3 academic hospitals. Patients: A total of 815 patients admitted to hospital with COVID-19 between March 4, 2020, and April 23, 2021. Measurements: Stage of AKI, ICU admission, mechanical ventilation, and in-hospital mortality. Methods: We classified AKI by comparing highest to lowest recorded serum creatinine in hospital and staged AKI based on the Kidney Disease: Improving Global Outcomes (KDIGO) system. We calculated the unadjusted and adjusted odds ratio for the stage of AKI and the outcomes of ICU admission, mechanical ventilation, and in-hospital mortality. Results: Of the 815 patients registered, 439 (53.9%) developed AKI, 253 (57.6%) presented with AKI, and 186 (42.4%) developed AKI in-hospital. The odds of ICU admission, mechanical ventilation, and death increased as the AKI stage worsened. Stage 3 AKI that occurred during hospitalization increased the odds of death (odds ratio [OR] = 7.87 [4.35, 14.23]). Stage 3 AKI that occurred prior to hospitalization carried an increased odds of death (OR = 5.28 [2.60, 10.73]). Limitations: Observational study with small sample size limits precision of estimates. Lack of nonhospitalized patients with COVID-19 and hospitalized patients without COVID-19 as controls limits causal inferences. Conclusions: Acute kidney injury, whether it occurs prior to or after hospitalization, is associated with a high risk of poor outcomes in patients with COVID-19. Routine assessment of kidney function in patients with COVID-19 may improve risk stratification. Trial registration: The study was not registered on a publicly accessible registry because it did not involve any health care intervention on human participants.

scholarly journals Comorbidity burden may explain adiponectin’s paradox as a marker of increased mortality risk in hemodialysis patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ilia Beberashvili ◽  
Tamar Cohen-Cesla ◽  
Amin Khatib ◽  
Ramzia Abu Hamad ◽  
Ada Azar ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Maintenance Hemodialysis ◽  
Blood Levels ◽  
Low Concentrations ◽  
Comorbidity Burden ◽  
All Cause Mortality ◽  
Markers Of Oxidative Stress ◽  
Comorbidity Index ◽  
Antiinflammatory Effects ◽  
High Comorbidity

AbstractDespite experimental evidence of beneficial metabolic, antiatherosclerotic and antiinflammatory effects of the 30 kDa adipokine, adiponectin, maintenance hemodialysis (MHD) patients with high adiponectin blood levels have paradoxically high mortality rates. We aimed to examine the direction of the associations between adiponectin and all-cause and cardiovascular mortality as well as with markers of oxidative stress, inflammation and nutrition in MHD patients with varying degrees of comorbidities. A cohort of 261 MHD patients (mean age 68.6 ± 13.6 years, 38.7% women), grouped according to baseline comorbidity index (CI) and serum adiponectin levels, were followed prospectively for six years. High and low concentrations were established according to median CI and adiponectin levels and cross-classified. Across the four CI-adiponectin categories, the group with low comorbidities and high adiponectin exhibited the best outcomes. Conversely, the high comorbidity group with high adiponectin levels had the lowest survival rate in both all-cause mortality (log rankχ2 = 23.74, p < 0.001) and cardiovascular mortality (log rankχ2 = 34.16, p < 0.001). Further data adjustment for case-mix covariates including fat mass index did not substantially affect these results. In conclusion, the direction of adiponectin’s prognostic associations in MHD patients is inverse in those with few comorbidities and direct in those with many comorbidities.

scholarly journals Respiratory events in ward are associated with later intensive care unit (ICU) admission and hospital mortality in onco-hematology patients not admitted to ICU after a first request

PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0181808 ◽  
Author(s):  
Laure Doukhan ◽  
Magali Bisbal ◽  
Laurent Chow-Chine ◽  
Antoine Sannini ◽  
Jean Paul Brun ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Icu Admission ◽  
Respiratory Events

scholarly journals Hospital mortality in hematogenous vertebral osteomyelitis

2021 ◽  
Vol 18 (3) ◽  
pp. 86-93
Author(s):  
A. Yu. Bazarov ◽  
K. S. Sergeyev ◽  
A. O. Faryon ◽  
R. V. Paskov ◽  
I. A. Lebedev
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Hospital Mortality ◽  
Medical Records ◽  
Vertebral Osteomyelitis ◽  
Hospital Death ◽  
Factors Affecting ◽  
Comorbidity Index ◽  
Probability Of Death ◽  
Type C

Objective. To analyze lethal outcomes in patients with hematogenous vertebral osteomyelitis.Material and Methods. Study design: retrospective analysis of medical records. A total of 209 medical records of inpatients who underwent treatment for hematogenous vertebral osteomyelitis in 2006–2017 were analyzed. Out of them 68 patients (32.5 %) were treated conservatively, and 141 (67.5 %) – surgically. The risk factors for lethal outcomes were studied for various methods of treatment, and a statistical analysis was performed.Results. Hospital mortality (n = 9) was 4.3 %. In patients who died in hospital, average time for diagnosis making was 4 times less (p = 0.092). The main factors affecting mortality were diabetes mellitus (p = 0.033), type C lesion according to the Pola classification (p = 0.014) and age over 70 years (p = 0.006). To assess the relationship between hospital mortality and the revealed differences between the groups, a regression analysis was performed, which showed that factors associated with mortality were Pola type C.4 lesions (OR 9.73; 95 % CI 1.75–54.20), diabetes mellitus (OR 5.86; 95 % CI 1.14–30.15) and age over 70 years (OR 12.58; 95 % CI 2.50–63.34). The combination of these factors increased the likelihood of hospital mortality (p = 0.001). Sensitivity (77.8 %) and specificity (84.2 %) were calculated using the ROC curve. In the group with mortality, the comorbidity index (CCI) was significantly higher (≥4) than in the group without mortality (p = 0.002). With a CCI of 4 or more, the probability of hospital death increases significantly (OR 10.23; 95 % CI 2.06–50.82), p = 0.005. Long-term mortality was 4.3 % (n = 9), in 77.8 % of cases the cause was acute cardiovascular pathology, and no recurrence of vertebral osteomyelitis was detected.Conclusion. Hospital mortality was 4.3 %, and there was no mortality among patients treated conservatively. The main risk factors were diabetes mellitus, type C lesion according to Pola and age over 70 years. There was a significant mutual burdening of these factors (p = 0.001). With CCI ≥4, the probability of death is higher (p = 0.005).

scholarly journals Prompt admission to intensive care is associated with improved survival in patients with severe sepsis and/or septic shock

2018 ◽  
Vol 46 (10) ◽  
pp. 4071-4081 ◽  
Author(s):  
Qiang Li ◽  
Jiajiong Wang ◽  
Guomin Liu ◽  
Meng Xu ◽  
Yanguo Qin ◽  
...  
Keyword(s):  
Septic Shock ◽  
Severe Sepsis ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Multivariable Model ◽  
Icu Admission ◽  
Survival Status ◽  
Healthcare Data ◽  
Multivariable Regression Model ◽  
Multivariable Regression

Objective To investigate the association between time from hospital admission to intensive care unit (ICU) admission (door to ICU time) and hospital mortality in patients with sepsis. Methods This retrospective observational study included routinely collected healthcare data from patients with sepsis. The primary endpoint was hospital mortality, defined as the survival status at hospital discharge. Door to ICU time was calculated and included in a multivariable model to investigate its association with mortality. Results Data from 13 115 patients were included for analyses, comprising 10 309 survivors and 2 806 non-survivors. Door to ICU time was significantly longer for non-survivors than survivors (median, 43.0 h [interquartile range, 12.4, 91.3] versus 26.7 h [7.0, 74.2]). In the multivariable regression model, door to ICU time remained significantly associated with mortality (odds ratio [OR] 1.11, 95% confidence interval [CI] 1.006, 1.017) and there was a significant interaction between age and door to ICU time (OR 0.99, 95% CI 0.99, 1.00). Conclusion A shorter time from hospital door to ICU admission was shown to be independently associated with reduced hospital mortality in patients with severe sepsis and/or septic shock.

Contemporary outcomes for adults with AML requiring ICU admission.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 7025-7025
Author(s):  
Danielle Hammond ◽  
Koji Sasaki ◽  
Alexis Geppner ◽  
Fadi Haddad ◽  
Shehab Mohamed ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Cancer Center ◽  
Hospital Death ◽  
Entire Cohort ◽  
Morbidity Burden ◽  
Icu Admission ◽  
Poor Risk ◽  
Line Therapy ◽  
Co Morbidity ◽  
Life Threatening

7025 Background: Patients (pts) with AML frequently encounter life-threatening complications requiring transfer to an intensive care unit (ICU). Methods: Retrospective analysis of 145 adults with AML requiring ICU admission at our tertiary cancer center 2018-19. Use of life-sustaining therapies (LSTs) and overall survival (OS) were reported using descriptive statistics. Logistic regression was used to identify risk factors for in-hospital death. Results: Median age was 64 yrs (range 18-86). 47% of pts had an ECOG status of ≥ 2 with a median of at least 1 comorbidity (Table). 117 pts (81%) had active leukemia at admission. 68 pts (47%) had poor-risk cytogenetics (CG) and 32 (22%) had TP53-mutated disease. 61 (42%), 27 (19%) and 57 pts (39%) were receiving 1st, 2nd and ≥ 3rd line therapy. 33 (23%) and 70 pts (48%) were receiving intensive and lower-intensity chemotherapy, respectively, and 77 pts (53%) were concurrently on venetoclax. Most common indications for admission were sepsis (32%), respiratory failure (24%) and leukocytosis (12%); Table outlines additional ICU admission details. Median OS from the date of ICU admission was 2.0 months (mo) for the entire cohort and 6.9, 1.6 and 1.2 mo in pts with favorable-, intermediate- and poor-risk CG. Median OS of pts receiving frontline vs. ≥ 2nd line therapy was 4.2 vs. 1.4 mo (P<0.001). Median OS in pts requiring 0-1 vs. 2-3 LSTs was 4.1 vs. 0.4 mo (P<0.001). OS was not different by age, co-morbidity burden nor therapy intensity. In a multivariate analysis that included SOFA scores, only adverse CG (OR 0.35, P = 0.028), and need for intubation with mechanical ventilation (IMV; OR 0.19, P = 0.009) were associated with increased odds of in-hospital mortality. Conclusions: A substantial portion of pts with AML survive their ICU admission with sufficient functionality to return home and receive subsequent therapy. In contrast to general medical populations, age, co-morbidities, and SOFA scores were not independently predictive of in-hospital mortality. Disease CG risk and the need for IMV were the strongest predictors of ICU survival. This suggests that many pts with AML can benefit from ICU care.[Table: see text]

Abstract W P256: Influence of Withdrawal of Care on Spontaneous Intracerebral Hemorrhage Predictive Scales

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Santiago Ortega Gutierrez ◽  
maria angeles aranda calleja ◽  
Pankhil Shah ◽  
Sergio Amaro Delgado ◽  
sachin agarwal ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Medical Records ◽  
Scoring Systems ◽  
Mortality Prediction ◽  
Youden Index ◽  
Major Influence ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Radiological Criteria ◽  
Ich Score

Background: Various scoring systems combining different predictors have been developed to more accurately predict the short and long-term outcome after ICH. However, these different scoring systems do not take into account the major influence of the primary cause of mortality in ICH, namely the withdrawal of care (WC). We aim to compare the in-hospital mortality prediction performance after accounting for WC of three widely used scoring systems, the original ICH score (oICH), the ICH Grading scale (ICH-GS), and the simplified ICH score (sICH), in a cohort of ICH patients prior to the development of the aforementioned scales. Methods: Retrospective observational single center cohort study of adult patients presenting a confirmed diagnosis of ICH. Admission clinical and radiological criteria were obtained through review of medical records and CT at admission. In-hospital mortality was selected as a primary outcome and obtained from the medical records. In the event of death, groups weredivided into: ICH-direct cause of death (cardiac arrest or brain death) andneurological devastation leading to WC. Scoring systems were calculated in each individual patient. Receiver operating characteristic (ROC) analysis was used to assess the ability of each score to predict in-hospital mortality and the maximum Youden Index was identified to denote each score’s optimal predictive cutoff point for each scale. The area under the curve (AUC) between groups was compared by using the Delong et al method. P< 0.05 was set as statistically significant. Conclusion: Performance of ICH scoring systems accurately predicted in-hospital mortalityeven when WC care is taken into account.

Sign in / Sign up

Export Citation Format

Share Document