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Dilixiati N, Lian M, Hou Z, Song J, Yang J, Lin R, Wang J. Nomograms for Predicting High Hospitalization Costs and Prolonged Stay among Hospitalized Patients with pAECOPD. Can Respir J 2024; 2024:2639080. [PMID: 39280690 PMCID: PMC11398965 DOI: 10.1155/2024/2639080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 06/24/2024] [Accepted: 08/17/2024] [Indexed: 09/18/2024] Open
Abstract
This study aimed to develop nomograms to predict high hospitalization costs and prolonged stays in hospitalized acute exacerbations of chronic obstructive pulmonary disease (AECOPD) patients with community-acquired pneumonia (CAP), also known as pAECOPD. A total of 635 patients with pAECOPD were included in this observational study and divided into training and testing sets. Variables were initially screened using univariate analysis, and then further selected using a backward stepwise regression. Multivariable logistic regression was performed to establish nomograms. The predictive performance of the model was evaluated using the receiver operating characteristic (ROC) curve, area under the curve (AUC), calibration curve, and decision curve analysis (DCA) in both the training and testing sets. Finally, the logistic regression analysis showed that elevated white blood cell count (WBC>10 × 109 cells/l), hypoalbuminemia, pulmonary encephalopathy, respiratory failure, diabetes, and respiratory intensive care unit (RICU) admissions were risk factors for predicting high hospitalization costs in pAECOPD patients. The AUC value was 0.756 (95% CI: 0.699-0.812) in the training set and 0.792 (95% CI: 0.718-0.867) in the testing set. The calibration plot and DCA curve indicated the model had good predictive performance. Furthermore, decreased total protein, pulmonary encephalopathy, reflux esophagitis, and RICU admissions were risk factors for predicting prolonged stays in pAECOPD patients. The AUC value was 0.629 (95% CI: 0.575-0.682) in the training set and 0.620 (95% CI: 0.539-0.701) in the testing set. The calibration plot and DCA curve indicated the model had good predictive performance. We developed and validated two nomograms for predicting high hospitalization costs and prolonged stay, respectively, among hospitalized patients with pAECOPD. This trial is registered with ChiCTR2000039959.
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Affiliation(s)
- Nafeisa Dilixiati
- Department of Pulmonary and Critical Care MedicineBeijing Luhe HospitalCapital Medical University, Beijing, China
| | - Mengyu Lian
- Department of Pulmonary and Critical Care MedicineBeijing Luhe HospitalCapital Medical University, Beijing, China
| | - Ziliang Hou
- Department of Pulmonary and Critical Care MedicineBeijing Luhe HospitalCapital Medical University, Beijing, China
| | - Jie Song
- Department of Pulmonary and Critical Care MedicineBeijing Luhe HospitalCapital Medical University, Beijing, China
| | - Jingjing Yang
- Department of Pulmonary and Critical Care MedicineBeijing Luhe HospitalCapital Medical University, Beijing, China
| | - Ruiyan Lin
- Department of Pulmonary and Critical Care MedicineBeijing Luhe HospitalCapital Medical University, Beijing, China
| | - Jinxiang Wang
- Department of Pulmonary and Critical Care MedicineBeijing Luhe HospitalCapital Medical University, Beijing, China
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Huang G, Liu L, Wang L, Wang Z, Wang Z, Li S. External validation of five predictive models for postoperative cardiopulmonary morbidity in a Chinese population receiving lung resection. PeerJ 2022; 10:e12936. [PMID: 35186502 PMCID: PMC8840067 DOI: 10.7717/peerj.12936] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 01/23/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND No postoperative cardiopulmonary morbidity models have been developed or validated in Chinese patients with lung resection. This study aims to externally validate five predictive models, including Eurolung models, the Brunelli model and the Age-adjusted Charlson Comorbidity Index, in a Chinese population. METHODS Patients with lung cancer who underwent anatomic lung resection between 2018/09/01 and 2019/08/31 in our center were involved. Model discrimination was assessed by the area under the receiver operating characteristic curve. Model calibration was evaluated by the Hosmer-Lemeshow test. Calibration curves were plotted. Specificity, sensitivity, negative predictive value, positive predictive value and accuracy were calculated. Model updating was achieved by re-estimating the intercept and/or the slope of the linear predictor and re-estimating all coefficients. RESULTS Among 1085 patients, 91 patients had postoperative cardiopulmonary complications defined by the European Society of Thoracic Surgeons. For original models, only parsimonious Eurolung1 had acceptable discrimination (area under the receiver operating characteristic curve = 0.688, 95% confidence interval 0.630-0.745) and calibration (p = 0.23 > 0.05) abilities simultaneously. Its sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 0.700, 0.649, 0.153, 0.960 and 0.653, respectively. In the secondary analysis, increased pleural effusion (n = 94), which was nonchylous and nonpurulent, was labeled as a kind of postoperative complication. The area under the receiver operating characteristic curve of the models increased slightly, but all models were miscalibrated. The original Eurolung1 model had the highest discrimination ability but poor calibration, and thus it was updated by three methods. After model updating, new models showed good calibration and small improvements in discrimination. The discrimination ability was still merely acceptable. CONCLUSIONS Overall, none of the models performed well on postoperative cardiopulmonary morbidity prediction in this Chinese population. The original parsimonious Eurolung1 and the updated Eurolung1 were the best-performing models on morbidity prediction, but their discrimination ability only achieved an acceptable level. A multicenter study with more relevant variables and sophisticated statistical methods is warranted to develop new models among Chinese patients in the future.
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Affiliation(s)
- Guanghua Huang
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lei Liu
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Luyi Wang
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhile Wang
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhaojian Wang
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shanqing Li
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Shanbhag V, Arjun NR, Chaudhuri S, Pandey AK. Utility of Age-adjusted Charlson Comorbidity Index as a Predictor of Need for Invasive Mechanical Ventilation, Length of Hospital Stay, and Survival in COVID-19 Patients. Indian J Crit Care Med 2021; 25:987-991. [PMID: 34963715 PMCID: PMC8664016 DOI: 10.5005/jp-journals-10071-23946] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Background Multiple parameters may be used to prognosticate coronavirus disease-2019 (COVID-19) patients, which are often expensive laboratory or radiological investigations. We evaluated the utility of age-adjusted Charlson comorbidity index (CCI) as a predictor of outcome in COVID-19 patients treated with remdesivir. Materials and methods This was a single-center, retrospective study on 126 COVID-19 patients treated with remdesivir. The age-adjusted CCI, length of hospital stay (LOS), need for invasive mechanical ventilation (IMV), and survival were recorded. Results The mean and standard deviation (SD) of age-adjusted CCI were 3.37 and 2.186, respectively. Eighty-six patients (70.5%) had age-adjusted CCI ≤4, and 36 (29.5%) had age-adjusted CCI >4. Among patients with age-adjusted CCI ≤4, 20 (23.3%) required IMV, whereas in those with age-adjusted CCI >4, 19 (52.8%) required IMV (p <0.05, Pearson's chi-square test). In those with age-adjusted CCI ≤4, the mortality was 18.6%, whereas it was 41.7% in patients with age-adjusted CCI >4 (p <0.05, Pearson's chi-square test). The receiver operating curve (ROC) of age-adjusted CCI for predicting the mortality had an area under the curve (AUC) of 0.709, p = 0.001, and sensitivity 68%, specificity 62%, and 95% confidence interval (CI) [0.608, 0.810], for a cutoff score >4. The ROC for age-adjusted CCI for predicting the need for IMV had an AUC of 0.696, p = 0.001, and sensitivity 67%, specificity 63%, and 95% CI [0.594, 0.797], for a cutoff score >4. ROC for age-adjusted CCI as a predictor of prolonged LOS (≥14 days) was insignificant. Conclusion In COVID-19 patients, the age-adjusted CCI is an independent predictor of the need for IMV (score >4) and mortality (score >4) but is not useful to predict LOS (CTRI/2020/11/029266). How to cite this article Shanbhag V, Arjun NR, Chaudhuri S, Pandey AK. Utility of Age-adjusted Charlson Comorbidity Index as a Predictor of Need for Invasive Mechanical Ventilation, Length of Hospital Stay, and Survival in COVID-19 Patients. Indian J Crit Care Med 2021;25(9):987-991.
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Affiliation(s)
- Vishal Shanbhag
- Department of Critical Care Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - N R Arjun
- Department of Critical Care Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Souvik Chaudhuri
- Department of Critical Care Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Akhilesh K Pandey
- Department of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Selvam V, Srinivasan S. Age-adjusted Charlson Comorbidity Index: A Simple Tool, but Needs Further Validation in COVID-19 Patients. Indian J Crit Care Med 2021; 25:963-964. [PMID: 34963707 PMCID: PMC8664041 DOI: 10.5005/jp-journals-10071-23973] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
How to cite this article: Selvam V, Srinivasan S. Age-adjusted Charlson Comorbidity Index: A Simple Tool, but Needs Further Validation in COVID-19 Patients. Indian J Crit Care Med 2021;25(9):963-964.
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Affiliation(s)
- Velmurugan Selvam
- Department of Critical Care, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India
| | - Shrikanth Srinivasan
- Department of Critical Care Medicine, Manipal Hospital, Dwarka, New Delhi, India
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Seyahi E, Bakhdiyarli G, Oztas M, Kuskucu MA, Tok Y, Sut N, Ozcifci G, Ozcaglayan A, Balkan II, Saltoglu N, Tabak F, Hamuryudan V. Antibody response to inactivated COVID-19 vaccine (CoronaVac) in immune-mediated diseases: a controlled study among hospital workers and elderly. Rheumatol Int 2021; 41:1429-1440. [PMID: 34109466 PMCID: PMC8188953 DOI: 10.1007/s00296-021-04910-7] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 06/02/2021] [Indexed: 01/05/2023]
Abstract
OBJECTIVE To assess antibody response to inactivated COVID-19 vaccine in patients with immune-mediated diseases (IMD) among hospital workers and people aged 65 and older. METHODS In this cross-sectional study, we studied 82 hospital workers with IMD (mean age: 42.2 ± 10.0 years) and 300 (mean age: 41.7 ± 9.9 years) controls. Among + 65 aged population, we studied 22 (mean age: 71.4 ± 4.5 years) patients and 47 controls (mean age: 70.9 ± 4.8 years). All study subjects had a negative history for COVID-19. Sera were obtained after at least 21 days following the second vaccination. Anti-spike IgG antibody titers were measured quantitatively using a commercially available immunoassay method. RESULTS Patients with IMD were significantly less likely to have detectable antibodies than healthy controls both among the hospital workers (92.7% vs 99.7%, p < 0.001) and elderly population (77.3% vs 97.9%, p = 0.011). Among patients with IMD, those using immunosuppressive or immune-modulating drugs (64/75, 85.3%) were significantly less likely to have detectable antibodies compared to those off treatment (29/29, 100%) (p = 0.029). Additionally, a negative association between age and the antibody titer categories among patients (r = - 0.352; p < 0.001) and controls (r = - 0.258; p < 0.001) were demonstrated. CONCLUSIONS Among hospital workers, the vast majority of patients with IMD and immunocompetent controls developed a significant humoral response following the administration of the second dose of inactivated COVID-19 vaccine. This was also true for the elderly population, albeit with lower antibody titers. Immunosuppressive use, particularly rituximab significantly reduced antibody titers. Antibody titers were significantly lower among those aged ≥ 60 years both in patient and control populations. Whether these individuals should get a booster dose warrants further studies.
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Affiliation(s)
- Emire Seyahi
- Division of Rheumatology, Department of Internal Medicine, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, 81310 Turkey
| | - Guldaran Bakhdiyarli
- Department of Internal Medicine, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Mert Oztas
- Division of Rheumatology, Department of Internal Medicine, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, 81310 Turkey
| | - Mert Ahmet Kuskucu
- Department of Microbiology, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Yesim Tok
- Department of Microbiology, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Necdet Sut
- Department of Biostatistics and Medical Informatics, Trakya University Medical Faculty, Edirne, Turkey
| | - Guzin Ozcifci
- Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Ali Ozcaglayan
- Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Ilker Inanc Balkan
- Department of Infectious Diseases and Clinical Microbiology, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Nese Saltoglu
- Department of Infectious Diseases and Clinical Microbiology, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Fehmi Tabak
- Department of Infectious Diseases and Clinical Microbiology, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Vedat Hamuryudan
- Division of Rheumatology, Department of Internal Medicine, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, 81310 Turkey
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McArthur K, Krause C, Kwon E, Luo-Owen X, Cochran-Yu M, Swentek L, Burruss S, Turay D, Krasnoff C, Grigorian A, Nahmias J, Butt A, Gutierrez A, LaRiccia A, Kincaid M, Fiorentino MN, Glass N, Toscano S, Ley E, Lombardo SR, Guillamondegui OD, Bardes JM, DeLa'O C, Wydo SM, Leneweaver K, Duletzke NT, Nunez J, Moradian S, Posluszny J, Naar L, Kaafarani H, Kemmer H, Lieser MJ, Dorricott A, Chang G, Nemeth Z, Mukherjee K. Trauma and nontrauma damage-control laparotomy: The difference is delirium (data from the Eastern Association for the Surgery of Trauma SLEEP-TIME multicenter trial). J Trauma Acute Care Surg 2021; 91:100-107. [PMID: 34144559 PMCID: PMC8331055 DOI: 10.1097/ta.0000000000003210] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Damage-control laparotomy (DCL) has been used for traumatic and nontraumatic indications. We studied factors associated with delirium and outcome in this population. METHODS We reviewed DCL patients at 15 centers for 2 years, including demographics, Charlson Comorbidity Index (CCI), diagnosis, operations, and outcomes. We compared 30-day mortality; renal failure requiring dialysis; number of takebacks; hospital, ventilator, and intensive care unit (ICU) days; and delirium-free and coma-free proportion of the first 30 ICU days (DF/CF-ICU-30) between trauma (T) and nontrauma (NT) patients. We performed linear regression for DF/CF-ICU-30, including age, sex, CCI, achievement of primary fascial closure (PFC), small and large bowel resection, bowel discontinuity, abdominal vascular procedures, and trauma as covariates. We performed one-way analysis of variance for DF/CF-ICU-30 against traumatic brain injury severity as measured by Abbreviated Injury Scale for the head. RESULTS Among 554 DCL patients (25.8% NT), NT patients were older (58.9 ± 15.8 vs. 39.7 ± 17.0 years, p < 0.001), more female (45.5% vs. 22.1%, p < 0.001), and had higher CCI (4.7 ± 3.3 vs. 1.1 ± 2.2, p < 0.001). The number of takebacks (1.7 ± 2.6 vs. 1.5 ± 1.2), time to first takeback (32.0 hours), duration of bowel discontinuity (47.0 hours), and time to PFC were similar (63.2 hours, achieved in 73.5%). Nontrauma and T patients had similar ventilator, ICU, and hospital days and mortality (31.0% NT, 29.8% T). Nontrauma patients had higher rates of renal failure requiring dialysis (36.6% vs. 14.1%, p < 0.001) and postoperative abdominal sepsis (40.1% vs. 17.1%, p < 0.001). Trauma and NT patients had similar number of hours of sedative (89.9 vs. 65.5 hours, p = 0.064) and opioid infusions (106.9 vs. 96.7 hours, p = 0.514), but T had lower DF/CF-ICU-30 (51.1% vs. 73.7%, p = 0.029), indicating more delirium. Linear regression analysis indicated that T was associated with a 32.1% decrease (95% CI, 14.6%-49.5%; p < 0.001) in DF/CF-ICU-30, while achieving PFC was associated with a 25.1% increase (95% CI, 10.2%-40.1%; p = 0.001) in DF/CFICU-30. Increasing Abbreviated Injury Scale for the head was associated with decreased DF/CF-ICU-30 by analysis of variance (p < 0.001). CONCLUSION Nontrauma patients had higher incidence of postoperative abdominal sepsis and need for dialysis, while T was independently associated with increased delirium, perhaps because of traumatic brain injury. LEVEL OF EVIDENCE Therapeutic study, level IV.
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Affiliation(s)
- Kaitlin McArthur
- From the Division of Acute Care Surgery (K. McArthur), Loma Linda University School of Medicine, Loma Linda, California; Division of Acute Care Surgery (C.K., E.K., X.L.-O., M.C.-Y., S.B., D.T., K. Mukherjee), Loma Linda University Medical Center, Loma Linda, California; Division of Trauma, Burns, Critical Care, and Acute Care Surgery (L.S., C.K., A.G., J. Nahmias), UC Irvine Medical Center, Irvine, California; Division of Trauma and Critical Care (A.B., A.G.), LAC+USC Medical Center, Los Angeles, California; Grant Medical Center Trauma Services (A.L., M.K.), Ohio Health Grant Medical Center, Columbus, Ohio; Division of Trauma/Surgical Critical Care (M.N.F., N.G.), Rutgers-New Jersey Medical School, Newark, New Jersey; Division of Trauma (S.T., E.L.), Cedars-Sinai Medical Center, Los Angeles, California; Division of Trauma and Surgical Critical Care (S.R.L., O.D.G.), Vanderbilt University Medical Center, Nashville, Tennessey; Division of Trauma/Acute Care Surgery/Critical Care (J.M.B., C.D.), West Virginia University, Morgantown, West Virginia; Division of Trauma (S.M.W., K.L.), Cooper University Health System, Camden, New Jersey; Section of Acute Care Surgery (N.T.D., J. Nunez), University of Utah Medical Center, Salt Lake City, Utah; Division of Trauma and Critical Care Surgery (S.M., J.P.), Northwestern Memorial Hospital, Chicago, Illinois; Division of Trauma, Emergency Surgery and Surgical Critical Care (L.N., H. Kaafarani), Massachusetts General Hospital, Boston, Massachusetts; Trauma Center (H. Kemmer, M.J.L.), Research Medical Center-Kansas City Hospital, Kansas City, Missouri; Mount Sinai Hospital-Chicago (A.D., G.C.), Chicago, Illinois; and Trauma and Acute Care Center (Z.N.), Morristown Medical Center, Morristown, New Jersey
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Corominas H, Castellví I, Diaz-Torné C, Matas L, de la Rosa D, Mangues MA, Moya P, Pomar V, Benito N, Moga E, Sosa NHD, Casademont J, Domingo P. Sarilumab (IL-6R antagonist) in critically ill patients with cytokine release syndrome by SARS-CoV2. Medicine (Baltimore) 2021; 100:e25923. [PMID: 34106658 PMCID: PMC8133253 DOI: 10.1097/md.0000000000025923] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 04/08/2021] [Accepted: 04/12/2021] [Indexed: 02/05/2023] Open
Abstract
Blocking IL-6 pathways with sarilumab, a fully human anti-IL-6R antagonist may potentially curb the inflammatory storm of SARS-CoV2. In the present emergency scenario, we used "off-label" sarilumab in 5 elderly patients in life-threatening condition not candidates to further active measures. We suggest that sarilumab can modulate severe COVID-19-associated Cytokine Release Syndrome.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Ester Moga
- Servei Immunologia, Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain
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Selvi I, Arik AI, Baydilli N, Basay MS, Basar H. Evaluation of comorbidity indices in determining the most suitable candidates for uro-oncological surgeries in elderly men. Cent European J Urol 2021; 74:24-38. [PMID: 33976912 PMCID: PMC8097655 DOI: 10.5173/ceju.2021.0246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 10/01/2020] [Accepted: 02/10/2021] [Indexed: 11/22/2022] Open
Abstract
Introduction We aimed to evaluate the superiority of different comorbidity indices in determining the most suitable elderly male candidates for uro-oncological operations. While making this assessment, we also aimed to determine the risk factors that may affect surgery-related major complications and overall survival. Material and methods Data of 543 male patients, 60 years or older, who underwent uro-oncological surgery (radical cystectomy, radical prostatectomy, radical or partial nephrectomy, transurethral resection of bladder tumor) between September 2009 and January 2019 were retrospectively evaluated. Demographic, clinical and pathological characteristics of the patients, preoperative comorbidity indices, postoperative complications, length of hospitalization, re-admission rates within 90 days and postoperative follow-up outcomes were recorded. Patients in similar tumor stages were divided into different subgroups. All subgroups were divided into two main categories: middle age (60-69 years-old) and elderly age (≥70-years-old). Results No significant difference was found for all types of surgery in terms of postoperative outcomes in both age groups (p >0.05). Age-adjusted Charlson Comorbidity Index (ACCI), Preoperative Score to Predict Postoperative Mortality (POSPOM), Rockwood Frailty Index (RFI) and tumor characteristics were found to be more significant predictors for postoperative major complications and overall mortality than Eastern Cooperative Oncology Group (ECOG), American Society of Anesthesiologists (ASA) and New York Heart Association (NYHA) functional classification. Conclusions Our findings show that patient age alone is not a risk factor for increased postoperative complications and overall mortality. Although many different comorbidity indices have been used in urological practice, ACCI, POSPOM and RFI are more valuable predictors. Uro-oncological surgeries may be performed safely in elderly males after a good clinical decision based on these indices.
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Affiliation(s)
- Ismail Selvi
- Başakşehir Çam ve Sakura City Hospital, Department of Urology, Istanbul, Turkey
| | - Ali Ihsan Arik
- Health Science University, Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Department of Urology, Ankara, Turkey
| | - Numan Baydilli
- Erciyes University Medical School, Department of Urology, Kayseri, Turkey
| | - Mehmet Sinan Basay
- Health Science University, Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Department of Urology, Ankara, Turkey
| | - Halil Basar
- Health Science University, Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Department of Urology, Ankara, Turkey
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Corominas H, Castellví I, Pomar V, Antonijoan R, Mur I, Matas L, Gich I, de Benito N, Laiz A, Castillo D, Villamarin L, Filella D, Millán AM, Quijada MÁ, Puig M, Casademont J, Domingo P. Effectiveness and safety of intravenous tocilizumab to treat COVID-19-associated hyperinflammatory syndrome: Covizumab-6 observational cohort. Clin Immunol 2021; 223:108631. [PMID: 33189888 PMCID: PMC7658611 DOI: 10.1016/j.clim.2020.108631] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 11/04/2020] [Accepted: 11/09/2020] [Indexed: 02/05/2023]
Abstract
Although the starting event in COVID-19 is a viral infection some patients present with an over-exuberant inflammatory response, leading to acute lung injury (ALI) and adult respiratory distress syndrome (ARDS). Since IL-6 plays a critical role in the inflammatory response, we assessed the efficacy and safety of tocilizumab (TCZ) in this single-centre, observational study in all Covid-19 in-patient with a proven SARS-CoV-2 rapidly progressing infection to prevent ALI and ARDS. 104 patients with COVID-19 treated with TCZ had a lower mortality rate (5·8%) compared with the regional mortality rate (11%), hospitalized patient's mortality (10%), and slightly lower than hospitalized patients treated with our standard of care alone (6%). We found that TCZ rapidly decreased acute phase reactants, ferritin and liver release of proteins. D-Dimer decreased slowly. We did not observe specific safety concerns. Early administration of IL6-R antagonists in COVID-19 patients with impending hyperinflammatory response, may be safe and effective treatment to prevent, ICU admission and further complications.
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Affiliation(s)
- Hèctor Corominas
- Servei de Reumatologia, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain.
| | - Ivan Castellví
- Servei de Reumatologia, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain
| | - Virginia Pomar
- Servei de Medicina Interna, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain
| | - Rosa Antonijoan
- Servei de Farmacología (CIBERSAM), Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain
| | - Isabel Mur
- Servei de Medicina Interna, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain
| | - Laia Matas
- Servei de Medicina Interna, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain
| | - Ignasi Gich
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain
| | - Natividad de Benito
- Servei de Medicina Interna, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain
| | - Ana Laiz
- Servei de Reumatologia, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain
| | - Diego Castillo
- Servei de Respiratori, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain
| | - Laura Villamarin
- Servei de Farmàcia, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain
| | - David Filella
- Servei de Medicina Interna, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain
| | - Ana Milena Millán
- Servei de Reumatologia, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain
| | - María Ángeles Quijada
- Servei de Farmacología (CIBERSAM), Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain
| | - Mireia Puig
- Servei d'Urgències, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain
| | - Jordi Casademont
- Servei de Medicina Interna, Barcelona, Catalonia, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain; Unitat de Malalties infeccioses, Barcelona, Catalonia, Spain
| | - Pere Domingo
- Hospital de la Santa Creu i Sant Pau, Barcelona, Universitat Autònoma de Barcelona (UAB), Barcelona, Catalonia, Spain
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