Total Therapies (TT) for Newly Diagnosed Patients with Multiple Myeloma (MM): Significant Benefit in High-Risk Disease with Cytogenetic Abnormalities (CA) over the Course of 17 Years.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 3490-3490
Author(s):  
Frits van Rhee ◽  
Vanessa Bolejack ◽  
Elias Anaissie ◽  
Guido Tricot ◽  
Klaus Hollmig ◽  
...  
Keyword(s):  
High Risk ◽  
Male Gender ◽  
Significant Benefit ◽  
Newly Diagnosed ◽  
Cytogenetic Abnormalities ◽  
High Risk Patients ◽  
Risk Patients ◽  
Pre Treatment ◽  
The One ◽  
The Impact

Abstract Background: In 1989, TT with tandem autotransplants (AT) was developed - in analogy to St. Jude’s TT program for childhood ALL - to advance the treatment outcome of MM patients. New agents and treatment principles were introduced as we moved from TT1 to T2 to TT3, mainly to address the inferior outcome in high-risk patients, introducing post-AT consolidation chemotherapy and thalidomide in TT2 and treatment in between chemotherapy cycles/transplants plus bortezomib in TT3. The consistently high-risk associated with the presence of metaphase cytogenetic abnormalities (CA) had been recognized in TT1. We now examine the benefit of intensifying therapy over time in patients with and without CA. Patients and Methods: According to our MM data base, 979 newly diagnosed patients had at least 1 AT; 181 patients were enrolled prior to 1999 and 798 patients thereafter (566 on TT2 and 232 on TT3). Univariate and multivariate analyses were performed to examine the impact on overall survival (OS) of time of protocol enrollment in the context of pre-treatment laboratory parameters Results: Pre-treatment features of the 2 cohorts were comparable in terms of frequencies of CA and serum levels of B2M, CRP and creatinine. The recent cohort (after 1999) had higher percentages of patients aged >65yr (22% vs 8%) and with LDH>190U/L (32% vs 7%, p<.001) but lower proportions with albumin<3.5g/dL (2% vs 9%, p<.001) and Hb<10g/dL (19% vs 50%, p<.001). Median OS was superior in the 798 patients enrolled after 1999 compared to the 181 prior to 1999 (not reached vs 72mo, p=.007). Other univariately significant adverse features included CA, B2M>=3mg/L, CRP>=6mg/L (all p<.001); age >=65yr (p=.002), creatinine>1.5mg/dL (p=.007), albumin<3.0g/dL (p=.018) and male gender (p=.049). On multivariate analysis, the following adverse variables entered the model: CA (HR=2.19, p<.001), B2M>=3mg/L (HR=1.79, p<.001), CRP>=6mg/L (HR=1.48, p=.002), age >=65yr (HR=1.44, p=.015), enrollment pre-1999 (HR=1.38, p=.026) and male gender (HR=1.27, p=.047). Importantly, a significant benefit was apparent for the one-third of patients with CA who received TT post-1999 (median not reached versus 4yr, p=.02), whereas there was a trend apparent for those without CA (Figure). Conclusion: Pursuit of the TT approach has indeed improved the outcome of the one-third of high-risk patients with CA, with a 5-yr OS rate of ~55% post-1999 versus 35% pre-1999. OS By Enrollment Periods
 Total Therapies 1/2/3 OS By Enrollment Periods
 Total Therapies 1/2/3

Survival in Patients with Newly Diagnosed Myeloma Undergoing Therapy with Lenalidomide and Dexamethasone: Impact of High-Risk Cytogenetic Risk Status on Outcome

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 95-95 ◽  
Author(s):  
Prashant Kapoor ◽  
Shaji Kumar ◽  
Rafael Fonseca ◽  
Martha Q. Lacy ◽  
Thomas E Witzig ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Stratification ◽  
Plasma Cell ◽  
Risk Groups ◽  
Newly Diagnosed ◽  
High Risk Patients ◽  
Risk Patients ◽  
The Impact ◽  
Standard Risk

Abstract Background: Multiple myeloma (MM) is a heterogeneous disease with very divergent outcomes that are dictated in a large part by specific cytogenetic abnormalities, as well as other prognostic factors such as the proliferative rate of marrow plasma cells. Prognostic systems incorporating these factors have shown clinical utility in identifying high-risk patients, and are increasingly being utilized for treatment decision-making. However, the prognostic relevance of these factors may change with the application of novel therapies. The objective of this study was to determine the impact of risk-stratification (incorporating plasma cell metaphase cytogenetics, interphase fluorescent in-situ hybridization (FISH) and the slide-based plasma cell labeling index (PCLI)) in a cohort of patients with newly diagnosed MM treated initially with lenalidomide + dexamethasone (Rev-Dex). Methods: From March 2004 to November 2007, 100 consecutive patients treated with Rev (25mg/day) on days 1 through 21 of a 4-week cycle in combination with dexamethasone as initial therapy for newly diagnosed myeloma, were identified. High-risk MM was defined as presence of any one or more of the following: hypodiploidy, monoallelic loss of chromosome 13 or its long arm (by metaphase cytogenetics only), deletion of p53 (locus 17p13) or PCLI ≥ 3% or immunoglobulin heavy chain (IgH) translocations, t(4;14) (p16.3;q32) or t(14;16)(q32;q23) on FISH. PFS and OS survival estimates were created using the Kaplan Meier method, and compared by log-rank tests. Results: The median estimated follow-up of the entire cohort (N=100) was 36 months. The median PFS was 31 months; the median OS has not been reached. The 2- and 3-year OS estimates were 93% and 83%, respectively. 16% patients were deemed high-risk by at least one of the 3 tests (cytogenetics, FISH or PCLI). Response rates (PR or better) were 81% versus 89% in the high-risk and standard risk groups, respectively, P=NS; corresponding values for CR plus VGPR rates were 38% and 45% respectively. The median PFS was 18.5 months in high-risk patients compared to 37 months in the standard-risk patients (n=84), P<0.001(Figure). Corresponding values for TTP were 18.5 months and 36.5 months, respectively, P=<0.001. OS was not statistically significant between the two groups; 92% 2-year OS was noted in both the groups. Overall, 95 patients had at least one of the 3 tests to determine risk, while 55 patients could be adequately stratified based on the availability of all the 3 tests, or at least one test result that led to their inclusion in the high-risk category. The significant difference in PFS persisted even when the analysis was restricted to the 55 patients classified using this stringent criterion; 18.5 months vs. 36.5 months in the high-risk and standard- risk groups respectively; P<0.001. In a separate analysis, patients who underwent SCT before the disease progression were censored on the date of SCT to negate its effect, and PFS was still inferior in the high-risk group (p=0.002). Conclusion: The TTP and PFS of high-risk MM patients are inferior to that of the standard-risk patients treated with Rev-Dex, indicating that the current genetic and proliferation-based risk-stratification model remains prognostic with novel therapy. However, the TTP, PFS, and OS obtained in high-risk patients treated with Rev-Dex in this study is comparable to overall results in all myeloma patients reported in recent phase III trials. In addition, no significant impact of high-risk features on OS is apparent so far. Longer follow-up is needed to determine the impact of risk stratification on the OS of patients treated with Rev-Dex. Figure Figure

Outcome according to cytogenetic abnormalities and DNA ploidy in myeloma patients receiving short induction with weekly bortezomib followed by maintenance

Blood ◽  
2011 ◽  
Vol 118 (17) ◽  
pp. 4547-4553 ◽  
Author(s):  
María-Victoria Mateos ◽  
Norma C. Gutiérrez ◽  
María-Luisa Martín-Ramos ◽  
Bruno Paiva ◽  
María-Angeles Montalbán ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Dna Ploidy ◽  
Progression Free Survival ◽  
Newly Diagnosed ◽  
Free Survival ◽  
Cytogenetic Abnormalities ◽  
High Risk Patients ◽  
Risk Patients ◽  
Standard Risk

Abstract Cytogenetic abnormalities (CAs) such as t(4;14), t(14;16) or del(17p), and nonhyperdiploidy are associated with poor prognosis in multiple myeloma. We evaluated the influence of CAs by FISH and DNA ploidy by flow cytometry on response and survival in 232 elderly, newly diagnosed multiple myeloma patients receiving an induction with weekly bortezomib followed by maintenance therapy with bortezomib-based combinations. Response was similar in the high-risk and standard-risk CA groups, both after induction (21% vs 27% complete responses [CRs]) and maintenance (39% vs 45% CR). However, high-risk patients showed shorter progression-free survival (PFS) than standard-risk patients, both from the first (24 vs 33 months; P = .04) and second randomization (17 vs 27 months; P = .01). This also translated into shorter overall survival (OS) for high-risk patients (3-year OS: 55% vs 77%; P = .001). This adverse prognosis applied to either t(4;14) or del(17p). Concerning DNA ploidy, hyperdiploid patients showed longer OS than nonhyperdiploid patients (77% vs 63% at 3 years; P = .04), and this was more evident in patients treated with bortezomib, thalidomide, and prednisone (77% vs 53% at 3 years; P = .02). The present schema does not overcome the negative prognosis of high-risk CAs and nonhyperdiploidy. This trial was registered with www.ClinicalTrials.gov as NCT00443235.

Validation of Elevated Blood Soluble PD-L1 As an Independent Prognostic Marker in Newly Diagnosed Diffuse Large B-Cell Lymphoma (DLBCL)

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2998-2998 ◽  
Author(s):  
Thierry Fest ◽  
James R Cerhan ◽  
Maher K Gandhi ◽  
Imane Azzaoui ◽  
Pauline Crooks ◽  
...  
Keyword(s):  
High Risk ◽  
Intermediate Risk ◽  
Newly Diagnosed ◽  
Clinical Factors ◽  
High Risk Patients ◽  
The Us ◽  
Risk Patients ◽  
Pre Treatment ◽  
French Cohort ◽  
Large B Cell

Abstract Background. Recent clinical trials based on immunotherapies targeting the PD-1/PD-L1 pathway have shown striking durable responses in a subset of patients with solid cancers. The Programmed death 1 (PD-1) protein is a key immune checkpoint inhibitor expressed by activated T cells. Its ligand, PD-L1, was reported highly expressed by tumor cells in some diffuse large B-cell lymphomas (DLBCL) of non-Germinal Center phenotype. We recently reported on the French multicenter GOELAMS075 trial that pre-treatment soluble PD-L1 (sPD-L1) in plasma was elevated in DLBCL patients compared to controls, and that elevated sPD-L1 was associated with inferior overall survival (OS), independent of the International Prognostic Index (IPI) and other clinical factors (Rossille et al., Leukemia 2014). Here, we replicate and extend these findings in two independent studies from Australia and the US. Methods. The protein expression of sPD-L1 was evaluated using a commercial ELISA kit. The French discovery cohort consisted of 288 adults with newly diagnosed aggressive DLBCL, age 18 to 60 years, and treated with R-CHOP or high dose chemotherapy plus rituximab followed by autologous stem cell support (clinicaltrials.gov: NCT00561379); there were also 60 controls. The Australian study consisted of 51 DLBCL patients age 18 to 71 years, all stages, treated with R-CHOP14, along with 57 controls. The US study was an observational cohort from the Iowa/Mayo Lymphoma SPORE and consisted of 225 DLBCLs, age 19 to 92 years, all stages, treated with immunochemotherapy, along with 98 controls. Plasma samples were collected pre-treatment using EDTA tubes for the Australian and the US cohorts, BDª P100 tubes for the French cohort. sPD-L1 expression was measured in Rennes, France (French & US samples) and in Brisbane, Australia (Australian samples).The Kaplan-Meier method and Cox regression were used to model the association of sPD-L1 with OS. The 95th percentile of the sPD-L1 levels in each matched control group was used as the cutoff point to define elevated sPD-L1 levels. Results. Replicating the French findings, sPD-L1 levels were significantly higher for DLBCL patients compared to controls in both the US (P<0.0001) and Australian (P<0.0001) studies (Figure 1). The odds ratios for elevated sPD-L1 among patients compared to controls were 10.7 (95% CI 3.3-22.0), 8.9 (95% CI 3.1-25.3) and 12.6 (95% CI 2.7-28.0) for the French, US and Australian studies, respectively. In the French cohort, elevated sPD-L1 levels were associated with inferior OS (Hazard Ratio (HR)=2.05; 95% CI 1.18-3.57), and this was replicated in the US cohort (HR=1.71; 95% CI 0.97-3.01) (Figure 2). Due to the similarity of the results, we next pooled the French and US cohorts to increase power for multivariate and subset analyses. The median age at diagnosis of the 513 patients was 54 years; 29% were more than 60 years old; 69% of the patients had stage III-IV disease; 56% were IPI intermediate-risk and 9% were IPI high-risk patients. The median follow-up was 48 months (range, 0.5-126) overall, and 66 months for the patients still alive; there were 102 deaths. Using a cutpoint of 1729 pg/mL from the combined studies, patients with elevated sPD-L1 had inferior OS compared to patients without elevated sPD-L1, with 3-year OS rates estimated at 78% (95% CI 71.8-84.9) vs. 87.8% (95%CI 84.5-91.4) (P<0.01). In multivariate analysis, elevated sPD-L1 (HR=1.75; 95%CI 1.16-2.64), age (HR=1.03; 95%CI 1.02-1.05), high-risk IPI score (HR=3.71; 95%CI 1.91-7.21) and ALC ² 1 G/L (HR=2.19; 95%CI 1.44-3.33) were all significant at P<0.01. In analyses stratified by IPI, the 3-year OS rates among high-risk patients (IPI 4-5) was 40.9% (95% CI 23.6-71.0) for elevated sPD-L1 vs. 82.1% (95% CI 69.1-97.6) for not elevated sPD-L1 (P<0.01). There was no association of sPD-L1 with 3-year OS among low risk (IPI 0-1) or intermediate-risk (IPI 2-3) patients. Conclusion. We confirmed that sPD-L1 levels are higher in pre-treatment plasma samples of newly diagnosed DLBCL patients compared to controls, and that elevated levels of sPD-L1 are associated with inferior OS in DLBCL patients treated with immunochemotherapy, and this is independent of IPI and other clinical factors. Among high risk patients, we identified a subgroup with less than 50% survival. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.

scholarly journals Trial-in-Progress: Randomized Phase II Trial in Early Relapsing or Refractory Follicular Lymphoma (NCT#03269669): SWOG S1608

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2425-2425
Author(s):  
Paul M. Barr ◽  
Hongli Li ◽  
Brian K. Link ◽  
Christopher R. Flowers ◽  
Richard Burack ◽  
...  
Keyword(s):  
High Risk ◽  
Follicular Lymphoma ◽  
Research Funding ◽  
Newly Diagnosed ◽  
Clinical Factors ◽  
High Risk Patients ◽  
Cytotoxic Treatment ◽  
Additional Chemotherapy ◽  
Risk Patients ◽  
The Impact

Abstract While the majority of follicular lymphoma (FL) patients have an overall survival of nearly 2 decades, a subset of patients has a markedly inferior survival. Across randomized studies, 20% of patients will respond poorly to first-line chemoimmunotherapy and account largely for the early deaths in the larger FL population. This group represents the largest unmet need in FL, for which a precision approach to therapy must be developed. With the development of newer monoclonal antibodies, immunomodulatory agents, therapies targeting molecules downstream of the B-cell receptor and novel cellular strategies, non-cytotoxic treatment has the potential to improve outcomes for patients with early progressing FL. There are several validated clinical factors known to correlate with disease outcome in newly diagnosed FL including age, lactate dehydrogenase, β2-microglobulin and disease extent that have been incorporated in prognostic systems such as FLIPI and FLIPI2. More recently, genetic biomarkers have been identified, including MLL2, EZH2, IRF4, CREPPB, and EPHA7 which reflect the disease biology as well as the impact of the lymphoma microenvironment. The addition of these molecular aberrations to clinical factors has led to the development of the M7-FLIPI as well as a 23-gene score, improving risk prognostication for newly diagnosed FL patients. However, such systems have shown a limited ability to predict progression or relapse within 2 years of chemotherapy. As such, identification of these patients at diagnosis or prior to therapy is currently not possible. S1608 was developed to 1) enable identification of high-risk patients using clinical and molecular markers by validating the m7-FLIPI prognostic system and to 2) identify the novel therapeutic approaches most active in this population. This study is enrolling high-risk patients, refractory to chemoimmunotherapy, and in randomized fashion, comparing novel regimens against additional chemotherapy to identify the most active non-chemotherapeutic strategies for this population. Eligible patients must be 18 years or older with grade 1, 2 or 3a FL and have relapsed or progressed with 2 years of finishing their first course of chemoimmunotherapy. Previous chemotherapy must have been CHOP or bendamustine based. Patients are eligible regardless of anti-CD20 therapy used, whether radiation therapy had been administered and whether or not maintenance therapy was utilized. Note that patients are required to have evidence of progressive disease within 2 years but do not have to be registered within 2 years. These high-risk patients are randomized to 12 months of lenalidomide, umbralisib or additional chemotherapy (for 6 months), all combined with 12 months of obinutuzumab. The primary clinical endpoint is CR rate after 6 cycles, allowing responding patient to proceed with consolidative cellular therapies if desired by the treating physician. Biopsies from diagnosis and at the time of relapse as well as circulating tumor DNA are being collected to prospectively evaluate the m7-FLIPI and to identify additional predictive markers. S1608 is a collaborative effort amongst the SWOG, Alliance and ECOG-ACRIN cooperative groups. The study represents one of the only prospective efforts to characterize early progressing FL and the only randomized trial comparing treatment strategies for this group of follicular lymphoma patients most in need of alternative therapies. Funding: NIH/NCI/NCTN grants U10CA180888, U10CA180819, U10CA180820, U10CA180821; and TG Therapeutics, Inc. Figure 1 Figure 1. Disclosures Barr: Genentech: Consultancy; AstraZeneca: Consultancy; Morphosys: Consultancy; TG Therapeutics: Consultancy; Beigene: Consultancy; Abbvie/Pharmacyclics: Consultancy; Bristol Meyers Squibb: Consultancy; Seattle Genetics: Consultancy; Janssen: Consultancy; Gilead: Consultancy. Link: Novartis, Jannsen: Research Funding; MEI: Consultancy; Genentech/Roche: Consultancy, Research Funding. Flowers: Cellectis: Research Funding; Nektar: Research Funding; Takeda: Research Funding; TG Therapeutics: Research Funding; BeiGene: Consultancy; 4D: Research Funding; Karyopharm: Consultancy; Morphosys: Research Funding; Guardant: Research Funding; Bayer: Consultancy, Research Funding; Genmab: Consultancy; Eastern Cooperative Oncology Group: Research Funding; SeaGen: Consultancy; Genentech/Roche: Consultancy, Research Funding; Pharmacyclics/Janssen: Consultancy; Burroughs Wellcome Fund: Research Funding; AbbVie: Consultancy, Research Funding; Adaptimmune: Research Funding; Janssen: Research Funding; Iovance: Research Funding; Acerta: Research Funding; Kite: Research Funding; Allogene: Research Funding; EMD: Research Funding; Amgen: Research Funding; Celgene: Consultancy, Research Funding; Ziopharm: Research Funding; Novartis: Research Funding; Pfizer: Research Funding; Sanofi: Research Funding; National Cancer Institute: Research Funding; Xencor: Research Funding; Spectrum: Consultancy; Gilead: Consultancy, Research Funding; Epizyme, Inc.: Consultancy; Biopharma: Consultancy; Denovo: Consultancy; Cancer Prevention and Research Institute of Texas: CPRIT Scholar in Cancer Research: Research Funding; Pharmacyclics: Research Funding. Weigert: Janssen: Speakers Bureau; Epizyme: Membership on an entity's Board of Directors or advisory committees; Roche: Research Funding. Herrera: ADC Therapeutics: Consultancy, Research Funding; Tubulis: Consultancy; Karyopharm: Consultancy; Kite, a Gilead Company: Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Gilead Sciences: Research Funding; Merck: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Takeda: Consultancy; Seagen: Consultancy, Research Funding; AstraZeneca: Consultancy, Research Funding. Weinstock: SecuraBio: Consultancy; ASELL: Consultancy; Bantam: Consultancy; Abcuro: Research Funding; Verastem: Research Funding; Daiichi Sankyo: Consultancy, Research Funding; AstraZeneca: Consultancy; Travera: Other: Founder/Equity; Ajax: Other: Founder/Equity. Leonard: ADC Therapeutics, AstraZeneca, Bayer, BMS/Celgene, Epizyme, Inc., Genmab, Gilead/Kite, Karyopharm, BMS/Celgene, Regeneron, MEI Pharma, Miltenyi, Roche/Genentech, Sutro: Consultancy; Roche/Genentech: Consultancy. Kahl: Abbvie, BeiGene, AstraZeneca, Acerta: Research Funding; Research to Practice: Speakers Bureau; Abbvie, ADCT, AstraZeneca, Beigene, Celgene, Teva, Janssen, MTEM, Bayer, InCyte, Adaptive, Genentech, Roche, MEI, KITE, TG Therapeutics, Epizyme, Takeda: Consultancy. Smith: Celgene, Genetech, AbbVie: Consultancy; Alexion, AstraZeneca Rare Disease: Other: Study investigator. Friedberg: Novartis: Other: DSMC ; Acerta: Other: DSMC ; Bayer: Other: DSMC .

scholarly journals Uptake and detection rate of a stepwise cardiometabolic disease detection program in primary care—a cohort study

2019 ◽  
Vol 30 (3) ◽  
pp. 402-407
Author(s):  
Daphne M Stol ◽  
Monika Hollander ◽  
Ilse F Badenbroek ◽  
Mark M J Nielen ◽  
François G Schellevis ◽  
...  
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
Cohort Study ◽  
High Risk ◽  
Newly Diagnosed ◽  
Additional Risk ◽  
High Risk Patients ◽  
Detection Program ◽  
Risk Patients

Abstract Background Early detection and treatment of cardiometabolic diseases (CMD) in high-risk patients is a promising preventive strategy to anticipate the increasing burden of CMD. The Dutch guideline ‘the prevention consultation’ provides a framework for stepwise CMD risk assessment and detection in primary care. The aim of this study was to assess the outcome of this program in terms of newly diagnosed CMD. Methods A cohort study among 30 934 patients, aged 45–70 years without known CMD or CMD risk factors, who were invited for the CMD detection program within 37 general practices. Patients filled out a CMD risk score (step 1), were referred for additional risk profiling in case of high risk (step 2) and received lifestyle advice and (pharmacological) treatment if indicated (step 3). During 1-year follow-up newly diagnosed CMD, prescriptions and abnormal diagnostic tests were assessed. Results Twelve thousand seven hundred and thirty-eight patients filled out the risk score of which 865, 6665 and 5208 had a low, intermediate and high CMD risk, respectively. One thousand seven hundred and fifty-five high-risk patients consulted the general practitioner, in 346 of whom a new CMD was diagnosed. In an additional 422 patients a new prescription and/or abnormal diagnostic test were found. Conclusions Implementation of the CMD detection program resulted in a new CMD diagnosis in one-fifth of high-risk patients who attended the practice for completion of their risk profile. However, the potential yield of the program could be higher given the considerable number of additional risk factors—such as elevated glucose, blood pressure and cholesterol levels—found, requiring active follow-up and presumably treatment in the future.

scholarly journals The impact of the incorporation of a feasible postoperative mortality model at the Post-Anaesthestic Care Unit (PACU) on postoperative clinical deterioration: A pragmatic trial with 5,353 patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0257941
Author(s):  
Claudia de Souza Gutierrez ◽  
Katia Bottega ◽  
Stela Maris de Jezus Castro ◽  
Gabriela Leal Gravina ◽  
Eduardo Kohls Toralles ◽  
...  
Keyword(s):  
Quality Improvement ◽  
High Risk ◽  
Clinical Deterioration ◽  
Surgical Patients ◽  
Predictive Tool ◽  
Postoperative Death ◽  
High Risk Patients ◽  
Death Probability ◽  
Risk Patients ◽  
The Impact

Background Practical use of risk predictive tools and the assessment of their impact on outcome reduction is still a challenge. This pragmatic study of quality improvement (QI) describes the preoperative adoption of a customised postoperative death probability model (SAMPE model) and the evaluation of the impact of a Postoperative Anaesthetic Care Unit (PACU) pathway on the clinical deterioration of high-risk surgical patients. Methods A prospective cohort of 2,533 surgical patients compared with 2,820 historical controls after the adoption of a quality improvement (QI) intervention. We carried out quick postoperative high-risk pathways at PACU when the probability of postoperative death exceeded 5%. As outcome measures, we used the number of rapid response team (RRT) calls within 7 and 30 postoperative days, in-hospital mortality, and non-planned Intensive Care Unit (ICU) admission. Results Not only did the QI succeed in the implementation of a customised risk stratification model, but it also diminished the postoperative deterioration evaluated by RRT calls on very high-risk patients within 30 postoperative days (from 23% before to 14% after the intervention, p = 0.05). We achieved no survival benefits or reduction of non-planned ICU. The small group of high-risk patients (13% of the total) accounted for the highest proportion of RRT calls and postoperative death. Conclusion Employing a risk predictive tool to guide immediate postoperative care may influence postoperative deterioration. It encouraged the design of pragmatic trials focused on feasible, low-technology, and long-term interventions that can be adapted to diverse health systems, especially those that demand more accurate decision making and ask for full engagement in the control of postoperative morbi-mortality.

The Impact of a Postmastectomy Chest Wall Scar Boost on Local Recurrence-free Survival in High-risk Patients

2019 ◽  
Vol 19 (5) ◽  
pp. 363-369
Author(s):  
Ashley Albert ◽  
Sophy Mangana ◽  
Mary R. Nittala ◽  
Toms Vengaloor Thomas ◽  
Lacey Weatherall ◽  
...  
Keyword(s):  
High Risk ◽  
Local Recurrence ◽  
Chest Wall ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
High Risk Patients ◽  
Risk Patients ◽  
The Impact ◽  
Local Recurrence Free Survival

scholarly journals Impact of the Beta-Glucan Test on Management of Intensive Care Unit Patients at Risk for Invasive Candidiasis

2020 ◽  
Vol 58 (6) ◽  
Author(s):  
Antonios Kritikos ◽  
Julien Poissy ◽  
Antony Croxatto ◽  
Pierre-Yves Bochud ◽  
Jean-Luc Pagani ◽  
...  
Keyword(s):  
Intensive Care ◽  
High Risk ◽  
Invasive Candidiasis ◽  
Test Results ◽  
Beta Glucan ◽  
High Risk Patients ◽  
Therapeutic Decisions ◽  
Risk Patients ◽  
The Impact ◽  
Test Result

ABSTRACT The 1,3-beta-d-glucan (BDG) test is used for the diagnosis of invasive candidiasis (IC) in intensive care units (ICUs). However, its utility for patient management is unclear. This study assessed the impact of BDG test results on therapeutic decisions. This was a single-center observational study conducted in an ICU over two 6-month periods. All BDG test requests for the diagnosis of IC were analyzed. Before the second period, the ICU physicians received a pocket card instruction (algorithm) for targeted BDG testing in high-risk patients. The performance of the BDG test for IC diagnosis was assessed, as well as its impact on antifungal (AF) prescription. Overall, 72 patients had ≥1 BDG test, and 14 (19%) patients had an IC diagnosis. The BDG test results influenced therapeutic decisions in 41 (57%) cases. The impact of the BDG test was positive in 30 (73%) of them, as follows: AF abstention/interruption following a negative BDG result (n = 27), and AF initiation/continuation triggered by a positive BDG test result and subsequently confirmed IC (n = 3). In 10 (24%) cases, a positive BDG test result resulted in AF initiation/continuation with no further evidence of IC. A negative BDG result and AF abstention with subsequent IC diagnosis were observed in one case. The positive predictive value (PPV) of BDG was improved if testing was restricted to the algorithm’s indications (80% versus 36%, respectively). However, adherence to the algorithm was low (26%), and no benefit of the intervention was observed. The BDG result had an impact on therapeutic decisions in more than half of the cases, which consisted mainly of safe AF interruption/abstention. Targeted BDG testing in high-risk patients improves PPV but is difficult to achieve in ICU.

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