Outcome for Cancer Patients Requiring Mechanical Ventilation

PURPOSE: To describe hospital survival for cancer patients who require mechanical ventilation. MATERIALS AND METHODS: A prospective, multicenter observational study was performed at five academic tertiary care hospitals. Demographic and clinical variables were obtained on consecutive cancer patients at initiation of mechanical ventilation, and information on vital status at hospital discharge was acquired. RESULTS: Our analysis was based on 782 adult cancer patients who met predetermined inclusion criteria. The overall observed hospital mortality was 76%, with no statistically significant differences among the five study centers. Seven variables (intubation after 24 hours, leukemia, progression or recurrence of cancer, allogeneic bone marrow transplantation, cardiac arrhythmias, presence of disseminated intravascular coagulation, and need for vasopressor therapy) were associated with an increased risk of death, whereas prior surgery with curative intent was protective. The predictive model based on these variables had an area under the receiver operating characteristic curve of 0.736, with Hosmer-Lemeshow goodness-of-fit statistics of 7.19; P = .52. CONCLUSION: This model can be used to estimate the probability of hospital survival for classes of adult cancer patients who require mechanical ventilation and can help to guide physicians, patients, and families in deciding goals and direction of treatment. Prospective independent validation in different medical settings is warranted.

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EFFECTS OF SMOKING ON THE DISEASE PROGNOSIS IN CANCER PATIENTS

Problems in oncology ◽

10.37469/0507-3758-2019-65-3-321-329 ◽

2019 ◽

Vol 65 (3) ◽

pp. 321-329

Author(s):

David Zaridze ◽

Anush Mukeriya

Keyword(s):

Smoking Cessation ◽

Cancer Patients ◽

Malignant Tumors ◽

Scientific Data ◽

Second Primary ◽

Primary Tumors ◽

Smoking Intensity ◽

Risk Of Death ◽

Disease Prognosis ◽

Increased Risk

Smoking not only increases the risk of the development of malignant tumors (MT), but affects the disease prognosis, mortality and survivability of cancer patients. The link between the smoking of cancer patients and increased risk of death by all diseases and oncological causes has been established. Mortality increases with the growth of the smoking intensity, i.e. the number of cigarettes, smoked per day. Smoking is associated with the worst general and oncological survivability. The statistically trend-line between the smoking intensity and survivability was observed: each additional unit of cigarette consumption (pack/year) leads to the Overall Survival Reduction by 1% (p = 0.002). The link between smoking and the risk of developing second primary tumors has been confirmed. Smoking increases the likelihood of side effects of the antitumor therapy both drug therapy and radiation therapy and reduces the treatment efficacy. The smoking cessation leads to a significant improvement in the prognosis of a cancer patient. Scientific data on the negative effect of smoking on the prognosis of cancer patients have a major clinical importance. The treatment program for cancer patients should include science-based methods for the smoking cessation. The latter is fundamentally important, taking into account that the smoking frequency among cancer patients is much higher than in the population.

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Cross-sectional observational study of epidemiology of COVID-19 and clinical outcomes of hospitalised patients in North West London during March and April 2020

BMJ Open ◽

10.1136/bmjopen-2020-044384 ◽

2021 ◽

Vol 11 (2) ◽

pp. e044384

Author(s):

Guduru Gopal Rao ◽

Alexander Allen ◽

Padmasayee Papineni ◽

Liyang Wang ◽

Charlotte Anderson ◽

...

Keyword(s):

Mechanical Ventilation ◽

Clinical Outcomes ◽

Severe Infection ◽

Older Age ◽

Cross Sectional ◽

North West ◽

Icu Admission ◽

Risk Of Death ◽

Hospitalised Patients ◽

Increased Risk

ObjectiveThe aim of this paper is to describe evolution, epidemiology and clinical outcomes of COVID-19 in subjects tested at or admitted to hospitals in North West London.DesignObservational cohort study.SettingLondon North West Healthcare NHS Trust (LNWH).ParticipantsPatients tested and/or admitted for COVID-19 at LNWH during March and April 2020Main outcome measuresDescriptive and analytical epidemiology of demographic and clinical outcomes (intensive care unit (ICU) admission, mechanical ventilation and mortality) of those who tested positive for COVID-19.ResultsThe outbreak began in the first week of March 2020 and reached a peak by the end of March and first week of April. In the study period, 6183 tests were performed in on 4981 people. Of the 2086 laboratory confirmed COVID-19 cases, 1901 were admitted to hospital. Older age group, men and those of black or Asian minority ethnic (BAME) group were predominantly affected (p<0.05). These groups also had more severe infection resulting in ICU admission and need for mechanical ventilation (p<0.05). However, in a multivariate analysis, only increasing age was independently associated with increased risk of death (p<0.05). Mortality rate was 26.9% in hospitalised patients.ConclusionThe findings confirm that men, BAME and older population were most commonly and severely affected groups. Only older age was independently associated with mortality.

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Surgical tracheostomy in a cohort of COVID-19 patients

HNO ◽

10.1007/s00106-021-01021-4 ◽

2021 ◽

Author(s):

Patrick J. Schuler ◽

Jens Greve ◽

Thomas K. Hoffmann ◽

Janina Hahn ◽

Felix Boehm ◽

...

Keyword(s):

Mechanical Ventilation ◽

Respiratory Failure ◽

Prolonged Mechanical Ventilation ◽

Tertiary Care ◽

Lung Compliance ◽

Hypoxemic Respiratory Failure ◽

Surgical Tracheostomy ◽

Increased Risk ◽

Open Surgical Tracheostomy ◽

Sedative Drugs

Abstract Background One of the main symptoms of severe infection with the new coronavirus‑2 (SARS-CoV-2) is hypoxemic respiratory failure because of viral pneumonia with the need for mechanical ventilation. Prolonged mechanical ventilation may require a tracheostomy, but the increased risk for contamination is a matter of considerable debate. Objective Evaluation of safety and effects of surgical tracheostomy on ventilation parameters and outcome in patients with COVID-19. Study design Retrospective observational study between March 27 and May 18, 2020, in a single-center coronavirus disease-designated ICU at a tertiary care German hospital. Patients Patients with COVID-19 were treated with open surgical tracheostomy due to severe hypoxemic respiratory failure requiring mechanical ventilation. Measurements Clinical and ventilation data were obtained from medical records in a retrospective manner. Results A total of 18 patients with confirmed SARS-CoV‑2 infection and surgical tracheostomy were analyzed. The age range was 42–87 years. All patients received open tracheostomy between 2–16 days after admission. Ventilation after tracheostomy was less invasive (reduction in PEAK and positive end-expiratory pressure [PEEP]) and lung compliance increased over time after tracheostomy. Also, sedative drugs could be reduced, and patients had a reduced need of norepinephrine to maintain hemodynamic stability. Six of 18 patients died. All surgical staff were equipped with N99-masks and facial shields or with powered air-purifying respirators (PAPR). Conclusion Our data suggest that open surgical tracheostomy can be performed without severe complications in patients with COVID-19. Tracheostomy may reduce invasiveness of mechanical ventilation and the need for sedative drugs and norepinehprine. Recommendations for personal protective equipment (PPE) for surgical staff should be followed when PPE is available to avoid contamination of the personnel.

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Chronic GvHD decreases antiviral immune responses in allogeneic BMT

Blood ◽

10.1182/blood-2006-04-017442 ◽

2007 ◽

Vol 109 (10) ◽

pp. 4548-4556 ◽

Cited By ~ 22

Author(s):

Mohammad S. Hossain ◽

John D. Roback ◽

Brian P. Pollack ◽

David L. Jaye ◽

Amelia Langston ◽

...

Keyword(s):

T Cells ◽

Chronic Gvhd ◽

Allogeneic Bone Marrow Transplantation ◽

Murine Cytomegalovirus ◽

Allogeneic Bone ◽

Transplant Recipients ◽

Peripheral Tissues ◽

Allogeneic Bmt ◽

Early Protein ◽

Increased Risk

Abstract Chronic graft-versus-host disease (cGvHD) is associated with functional immunodeficiency and an increased risk of opportunistic infections in allogeneic bone marrow transplantation (BMT). We used a parent to F1 model of allogeneic BMT to test the hypothesis that cGvHD leads to impaired antigen-specific antiviral immunity and compared BM transplant recipients with cGvHD to control groups of allogeneic BM transplant recipients without GvHD. Mice with and without cGvHD received a nonlethal dose of murine cytomegalovirus (MCMV) +100 days after transplantation. Recipients with cGvHD had more weight loss and higher viral loads in the spleen and liver. MCMV infection led to greater than 25-fold expansion of donor spleen–derived MCMV peptide–specific tetramer-positive CD8+ T cells in blood of transplant recipients with and without cGvHD, but mice with cGvHD had far fewer antigen-specific T cells in peripheral tissues and secondary lymphoid organs. The immunosuppression associated with cGvHD was confirmed by vaccinating transplant recipients with and without cGvHD using a recombinant Listeria expressing MCMV early protein (Lm-MCMV). Secondary adoptive transfer of lymphocytes from donor mice with or without cGvHD into lymphopenic congenic recipients showed that cGvHD impaired tissue-specific homing of antigen-specific T cells. These results indicate that cGvHD causes an intrinsic immunosuppression and explain, in part, the functional immunodeficiency in allogeneic transplant recipients.

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63 Characterizing Organizational Risk Factors and Clinical Impacts of Unplanned Extubations among Infants in the Neonatal Intensive Care Unit

Paediatrics & Child Health ◽

10.1093/pch/pxab061.048 ◽

2021 ◽

Vol 26 (Supplement_1) ◽

pp. e44-e45

Author(s):

Gabriella Le Blanc ◽

Elias Jabbour ◽

Sharina Patel ◽

Marco Zeid ◽

Wissam Shalish ◽

...

Keyword(s):

Mechanical Ventilation ◽

Intensive Care ◽

Neonatal Intensive Care ◽

Tertiary Care ◽

Organizational Factors ◽

Subject Area ◽

Administrative Databases ◽

Perinatal Medicine ◽

Unplanned Extubations ◽

Increased Risk

Abstract Primary Subject area Neonatal-Perinatal Medicine Background Organizational factors in neonatal intensive care units (NICUs) can increase the risk of adverse events, such as unplanned extubations (UPEs). UPE is the premature and unanticipated removal of an endotracheal tube. UPE and subsequent reintubation may increase the risk for lung injury and bronchopulmonary dysplasia (BPD) among preterm infants. Objectives First, we aimed to assess the association between daily nursing overtime and UPEs in the NICU. Second, we aimed to evaluate the association between UPE, re-intubation after UPE, and BPD in the sub-group of infants born < 29 weeks’ gestational age (GA). Design/Methods We conducted a retrospective cohort study including infants admitted to a tertiary care NICU between 2016-2019. Daily nursing hours were obtained from local administrative databases. Patient data was collected from the local Canadian Neonatal Network database. Association between ratio of daily nursing overtime hours/total nursing hours (OTR) was compared between days with and without UPEs, using logistic regression analyses. Associations between UPE and BPD among infants born <29 weeks requiring mechanical ventilation was evaluated in a 1:1 propensity-score matched (PSM) cohort. Infants were matched based on GA ± 2 weeks, mechanical ventilation days at time of UPE ± 5 days and SNAPII>20. Results There were 108/1370 (7.8%) days with ≥ 1 UPE, for a total of 116 UPE events from 87 patients (23-42 weeks GA). Higher median OTR was observed on days with UPE compared to days without (3.3% vs. 2.5%, p=0.01). OTR was associated with higher adjusted odds of UPE (aOR 1.09, 95% CI 1.01-1.18), while other organizational variables were not (Table 1). Among ventilated infants <29 weeks’ GA (n=XX), UPE rate was 31% (59), BPD rate was 42% (81) and re-intubation rate after UPE was 59% (35). In the PSM cohort of infants <29 weeks, re-intubation after UPE, was associated with increased length of mechanical ventilation (aOR 16.45; CI 6.18, 26.72) as well as increased odds of BPD, when compared to infants not requiring re-intubation (aOR 4.97, 95% CI 1.54-18.27) (Table 2). Conclusion Higher nursing overtime was associated with increased UPEs in the NICU. Re-intubation was frequently required after a UPE. Among the infants born < 29 weeks’ GA, UPE requiring reintubation was associated with increased total length of mechanical ventilation and increased risk of BPD. Our findings highlight the role of workforce management in improving outcomes in the NICU, through reducing the incidence of UPEs.

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Predictors of mortality in adult patients with dengue: a study from South India

International Journal of Research in Medical Sciences ◽

10.18203/2320-6012.ijrms20181495 ◽

2018 ◽

Vol 6 (5) ◽

pp. 1605 ◽

Cited By ~ 1

Author(s):

Vasudeva Acharya ◽

Mohammed Fahad Khan ◽

Srinivas Kosuru ◽

Sneha Mallya

Keyword(s):

Renal Failure ◽

Prothrombin Time ◽

Tertiary Care ◽

P Value ◽

Bleeding Tendency ◽

Care Hospital ◽

Laboratory Parameters ◽

Prolonged Prothrombin Time ◽

Risk Of Death ◽

Increased Risk

Background: Dengue is one of the important causes of acute febrile illnesses in India. Dengue can be a fatal disease, however there are no reliable markers which can predict mortality among these patients.Methods: A prospective cross sectional study was done in patients who were admitted to a tertiary care hospital with features of dengue fever. A total of 364 patients with IgM dengue serology positive were included in the study. Relevant clinical and laboratory parameters were collected from all patients. Association between clinico-laboratory parameters with mortality was studied using appropriate statistical methods.Results: Among the 364 patients recruited in this study, 14 (3.85%) patients died. Mortality among patients with age group 18-40 years was 2.04%, in patients aged above 40 years was 7.56%. Mortality among patients with hypotension was 42.42% (14 out of 33), bleeding manifestations was 15.38% (8/52), platelets <20,000/mm3 was 10.41% (10/96), ALT >200 was 13.04% (6/46), AST>200 was 12.34% (10/81), prolonged prothrombin time was 60%(12/20), renal failure was 28%(14/50), encephalopathy was 31.57% (6/19), multi organ dysfunction syndrome(MODS) was 43.33% (13/30), acute respiratory distress syndrome (ARDS) was 45.45% (5/11), pleural effusion was 7.5% (6/80).Conclusions: The overall mortality in the present study was 3.85%. Following variables were associated with increased risk of death among the dengue patients: Age >40 years, presence of hypotension, platelets <20000 cells/mm3, ALT>200U/L, AST>200U/L, prolonged prothrombin time, presence of renal failure, encephalopathy, MODS, ARDS and bleeding tendency (p value <0.05). Early identification of factors associated with mortality can help to make appropriate decision on care required.

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The Prevalence of Frailty in Cancer Patients and Mortality Prediction With a Novel Frailty Index Based Clinical Algorithm-A Multicenter, Prospective, Observational Study

10.21203/rs.3.rs-34820/v1 ◽

2020 ◽

Author(s):

Xi Jin ◽

Yue Ren ◽

Li Shao ◽

Zengqing Guo ◽

Chang Wang ◽

...

Keyword(s):

Cancer Patients ◽

Frailty Index ◽

National Level ◽

Laboratory Data ◽

Mortality Prediction ◽

Prediction Algorithm ◽

Tumor Type ◽

Risk Of Death ◽

Increased Risk ◽

Chinese Cancer Patients

Abstract Purpose To investigate the prediction capacity and status of frailty in Chinese cancer patients in national level, through establishing a novel prediction algorithm. Methods The percentage of frailty in different ages, provinces and tumor type groups of Chinese cancer patients were revealed. The predictioncapacity of frailty on mortality of Chinese cancer patients was analyzed by FI-LAB that is composed of routine laboratory data from accessible blood test and calculated as the ratio of abnormal factors in 22 variables. Establishment of a novel algorithm MCP(mortality of cancer patients)to predict the five-year mortality in Chinese cancer patients was accomplished and its prediction capacity was tested in the training and validation sets using ROC analysis. ResultsWe found that the increased risk of death in cancer patients can be successfully identified through FI-LAB. The univariable and multivariable Cox regression were used to evaluate the effect of frailty on death. In the 5-year follow-up, 20.6% of the 2959 participants (age = 55.8 ± 11.7 years; 43.5% female) were dead while the mean FI-LAB score in baseline was 0.23 (standard deviation = 0.13; range = 0 to 0.73).Frailty (after adjusting for gender, age, and other confounders) could be directly correlated with increased risk of death, with a hazard ratio of 12.67 (95% confidence interval CI: 7.19, 22.31) in comparison with those without frailty. In addition, MCP algorithm presented an area under the ROC (AUC) of 0.691 (95% CI: 0.659-0.684) and 0.648 (95% CI: 0.613-0.684) in the training and validation set, respectively. Conclusion Frailty is common in cancer patients and FI-LAB has high prediction capacity on mortality. The MCP algorithm is a good supplement for frailty evaluation and mortality prediction in cancer patients.

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Mortality risk scoring in emergency general surgery: Are we using the best tool?

Journal of Perioperative Practice ◽

10.1177/1750458920920133 ◽

2020 ◽

pp. 175045892092013

Author(s):

Azeem Thahir ◽

Rui Pinto-Lopes ◽

Stavroula Madenlidou ◽

Laura Daby ◽

Chandima Halahakoon

Keyword(s):

Mortality Rate ◽

Goodness Of Fit ◽

Characteristic Curve ◽

Emergency Laparotomy ◽

Receiver Operator Characteristic ◽

Characteristic Analysis ◽

Goodness Of Fit Test ◽

Risk Of Death ◽

Possum Score ◽

Operative Severity Score

Background It is imperative that an accurate assessment of risk of death is undertaken preoperatively on all patients undergoing an emergency laparotomy. Portsmouth-Physiological and Operative Severity Score for the enumeration of Mortality and Morbidity (P-POSSUM) is one of the most widely used scores. National Emergency Laparotomy Audit (NELA) presents a novel, validated score, but no direct comparison with P-POSSUM exists. We aimed to determine which would be the best predictor of mortality. Methods We analysed all the entries on the online NELA database over a four-and-a-half-year period. The Hosmer–Lemeshow goodness of fit test was performed to assess model calibration. For the outcome of death and for each scoring system, a non-parametric receiver operator characteristic analysis was done. The sensitivity, specificity, area under receiver operator characteristic curve and their standard errors were calculated. Results Data pertaining to 650 patients were included. There were 59 deaths, giving an overall observed mortality rate of 9.1%. Predicted mortality rate for the P-POSSUM score and NELA score were 15.2% and 7.8%, respectively. The discriminative power for mortality was highest for the NELA score (C-index = 0.818, CI: 0.769–0.867, p < 0.001), when compared to P-POSSUM (C-index = 0.769, CI: 0.712–0.827, p < 0.001). Conclusions The NELA score showed good discrimination in predicting mortality in the entire cohort. The P-POSSUM over-predicted observed mortality and the NELA score under-predicted observed mortality.

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Karyotypic analysis predicts outcome of preremission and postremission therapy in adult acute myeloid leukemia: a Southwest Oncology Group/Eastern Cooperative Oncology Group study

Blood ◽

10.1182/blood.v96.13.4075 ◽

2000 ◽

Vol 96 (13) ◽

pp. 4075-4083 ◽

Cited By ~ 1158

Author(s):

Marilyn L. Slovak ◽

Kenneth J. Kopecky ◽

Peter A. Cassileth ◽

David H. Harrington ◽

Karl S. Theil ◽

...

Keyword(s):

Autologous Transplantation ◽

Allogeneic Bone Marrow Transplantation ◽

Eastern Cooperative Oncology Group ◽

Risk Groups ◽

Significant Heterogeneity ◽

Allogeneic Bone ◽

Oncology Group ◽

Risk Status ◽

Karyotypic Analysis ◽

Risk Of Death

Abstract The associations of cytogenetics with complete remission (CR) rates, overall survival (OS), and outcomes after CR were studied in 609 previously untreated AML patients younger than 56 years old in a clinical trial comparing 3 intensive postremission therapies: intensive chemotherapy, autologous transplantation (ABMT), or allogeneic bone marrow transplantation (alloBMT) from matched related donors. Patients were categorized into favorable, intermediate, unfavorable, and unknown cytogenetic risk groups based on pretreatment karyotypes. CR rates varied significantly (P < .0001) among the 4 groups: favorable, 84% (95% confidence interval [CI], 77%-90%); intermediate, 76% (CI, 71%-81%); unfavorable, 55% (CI, 48%-63%); and unknown, 54% (CI, 33%-74%). There was similar significant heterogeneity of OS (P < .0001), with the estimated relative risk of death from any cause being 1.50 (CI, 1.10-2.05), 3.33 (CI, 2.43-4.55), and 2.66 (CI, 1.59-4.45) for the intermediate, unfavorable, and unknown risk groups, respectively, compared with the favorable group. In multivariate analyses, the effects of cytogenetic risk status on CR rate and OS could not be explained by other patient or disease characteristics. Among postremission patients, survival from CR varied significantly among favorable, intermediate, and unfavorable groups (P = .0003), with significant evidence of interaction (P = .017) between the effects of treatment and cytogenetic risk status on survival. Patients with favorable cytogenetics did significantly better following ABMT and alloBMT than with chemotherapy alone, whereas patients with unfavorable cytogenetics did better with alloBMT. Cytogenetic risk status is a significant factor in predicting response of AML patients to therapy; however, to tighten treatment correlates within genetically defined AML subsets, a significantly larger leukemia cytogenetic database is warranted.

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Multicenter outcome study of cancer patients admitted to the intensive care unit: a probability of mortality model.

Journal of Clinical Oncology ◽

10.1200/jco.1998.16.2.761 ◽

1998 ◽

Vol 16 (2) ◽

pp. 761-770 ◽

Cited By ~ 162

Author(s):

J S Groeger ◽

S Lemeshow ◽

K Price ◽

D M Nierman ◽

P White ◽

...

Keyword(s):

Intensive Care Unit ◽

Logistic Regression ◽

Intensive Care ◽

Hospital Mortality ◽

Cancer Patients ◽

The United States ◽

Categorical Variables ◽

Allogeneic Bone ◽

Icu Admission ◽

Hospital Survival

PURPOSE To develop prospectively and validate a model for probability of hospital survival at admission to the intensive care unit (ICU) of patients with malignancy. PATIENTS AND METHODS This was an inception cohort study in the setting of four ICUs of academic medical centers in the United States. Defined continuous and categorical variables were collected on consecutive patients with cancer admitted to the ICU. A preliminary model was developed from 1,483 patients and then validated on an additional 230 patients. Multiple logistic regression modeling was used to develop the models and subsequently evaluated by goodness-of-fit and receiver operating characteristic (ROC) analysis. The main outcome measure was hospital survival after ICU admission. RESULTS The observed hospital mortality rate was 42%. Continuous variables used in the ICU admission model are PaO2/FiO2 ratio, platelet count, respiratory rate, systolic blood pressure, and days of hospitalization pre-ICU. Categorical entries include presence of intracranial mass effect, allogeneic bone marrow transplantation, recurrent or progressive cancer, albumin less than 2.5 g/dL, bilirubin > or = 2 mg/dL, Glasgow Coma Score less than 6, prothrombin time greater than 15 seconds, blood urea nitrogen (BUN) greater than 50 mg/dL, intubation, performance status before hospitalization, and cardiopulmonary resuscitation (CPR). The P values for the fit of the preliminary and validation models are .939 and .314, respectively, and the areas under the ROC curves are .812 and .802. CONCLUSION We report a disease-specific multivariable logistic regression model to estimate the probability of hospital mortality in a cohort of critically ill cancer patients admitted to the ICU. The model consists of 16 unambiguous and readily available variables. This model should move the discussion regarding appropriate use of ICU resources forward. Additional validation in a community hospital setting is warranted.

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