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Accuracy of GFR-estimating equations based on creatinine, cystatin C or both in routine care

Fu, Edouard L; Levey, Andrew S; Coresh, Josef; Grams, Morgan E; Faucon, Anne-Laure; Elinder, Carl-Gustaf; Dekker, Friedo W; Delanaye, Pierre; Inker, Lesley A; Carrero, Juan-Jesus
BACKGROUND AND HYPOTHESIS/OBJECTIVE:New equations to estimate GFR based on creatinine (eGFRcr), cystatin C (eGFRcys) or both (eGFRcr-cys) have been developed by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and the European Kidney Function Consortium (EKFC). There is a need to evaluate the performance of these equations in diverse European settings to inform implementation decisions, especially among people with key comorbid conditions. METHODS:We performed a cross-sectional study including 6174 adults referred for single-point plasma clearance of iohexol in Stockholm, Sweden, with 9579 concurrent measurements of creatinine and cystatin C. We assessed the performance of the CKD-EPI 2009/2012/2021, EKFC 2021/2023, revised Lund-Malmö (RLM) 2011 and CAPA 2014 equations against measured GFR (mGFR). RESULTS:Mean age was 56 years, mGFR was 62 mL/min/1.73m2 and 40% were female. Comorbid conditions were common: cardiovascular disease (30%), liver disease (28%), diabetes (26%) and cancer (26%). All eGFRcr-cys equations had small bias and P30 close to 90%, and performed better than eGFRcr or eGFRcys equations. Among eGFRcr equations, CKD-EPI 2009 and CKD-EPI 2021 showed larger bias and lower P30 than EKFC 2021 and RLM. There were no meaningful differences in performance across eGFRcys equations. Findings were consistent across comorbid conditions, and eGFRcr-cys equations showed good performance in patients with liver disease, cancer and heart failure. CONCLUSIONS:In conclusion, eGFRcr-cys equations performed best, with minimal variation among equations in this Swedish cohort. The lower performance of CKD-EPI eGFRcr equations compared with EKFC and Lund-Malmö may reflect differences in population characteristics and mGFR methods. Implementing eGFRcr equations will require a trade-off between accuracy and uniformity across regions.
PMID: 37813817
ISSN: 1460-2385
CID: 5604822

The "Woundosome" Concept and Its Impact on Procedural Outcomes in Patients With Chronic Limb-Threatening Ischemia [Editorial]

Patrone, Lorenzo; Pasqui, Edoardo; Conte, Michael S; Farber, Alik; Ferraresi, Roberto; Menard, Matthew; Mills, Joseph L; Rundback, John; Schneider, Peter; Ysa, August; Abhishek, Kumar; Adams, George L; Ahmad, Naseer; Ahmed, Irfan; Alexandrescu, Vlad A; Amor, Max; Alper, David; Andrassy, Martin; Attinger, Christopher; Baadh, Andy; Barakat, Hashem; Biasi, Lukla; Bisdas, Theodosios; Bhatti, Zagum; Blessing, Erwin; Bonaca, Marc P; Bonvini, Stefano; Bosiers, Michel; Bradbury, Andrew W; Beasley, Robert; Behrendt, Christian-Alexander; Brodmann, Marianne; Cabral, Gonzalo; Cancellieri, Roberto; Casini, Andrea; Chandra, Venita; Chisci, Emiliano; Chohan, Omar; Choke, Edward T C; Chong, Patrick F S; Clerici, Giacomo; Coscas, Raphael; Costantino, Mary; Dalla Paola, Luca; Dand, Sabeen; Davies, Robert S M; D'Oria, Mario; Diamantopoulos, Athanasios; Debus, Sebastian; Deloose, Koen; Del Giudice, Costantino; Donato, Gianmarco de; Rubertis, Brian De; Paul De Vries, Jean; Dias, Nuno V; Diaz-Sandoval, Larry; Dick, Florian; Donas, Konstantinos; Dua, Anahita; Fanelli, Fabrizio; Fazzini, Stefano; Foteh, Mazin; Gandini, Roberto; Gargiulo, Mauro; Garriboli, Luca; Genovese, Elizabeth A; Gifford, Edward; Goueffic, Yann; Goverde, Peter; Chand Gupta, Prem; Hinchliffe, Robert; Holden, Andrew; Houlind, Kim C; Howard, Dominic Pj; Huasen, Bella; Isernia, Giacomo; Katsanos, Konstantinos; Katzen, Barry; Kolh, Philippe; Koncar, Igor; Korosoglou, Grigorios; Krishnan, Prakash; Kroencke, Thomas; Krokidis, Miltiadis; Kumarasamy, Arun; Hayes, Paul; Iida, Osamu; Alejandre Lafont, Enrique; Langhoff, Ralf; Lecis, Alexandre; Lessne, Mark; Lichaa, Hady; Lichtenberg, Michael; Lobato, Marta; Lopes, Alice; Loreni, Giorgio; Lucatelli, Pierleone; Madassery, Sreekumar; Maene, Lieven; Manzi, Marco; Maresch, Martin; Santhosh Mathews, Jay; McCaslin, James; Micari, Antonio; Michelagnoli, Stefano; Migliara, Bruno; Morgan, Robert; Morelli, Luis; Morosetti, Daniele; Mouawad, Nicolas; Moxey, Paul; Müller-Hülsbeck, Stefan; Mustapha, Jihad; Nakama, Tatsuya; Nasr, Bahaa; N'dandu, Zola; Neville, Richard; Noory, Elias; Nordanstig, Joakim; Noronen, Katariina; Mariano Palena, Luis; Parlani, Gianbattista; Patel, Ashish S; Patel, Parag; Patel, Rafiuddin; Patel, Sanjay; Pena, Costantino; Perkov, Drazen; Portou, Mark; Pratesi, Giovanni; Rammos, Christos; Reekers, Jim; Riambau, Vicente; Roy, Trisha; Rosenfield, Kenneth; Antonella Ruffino, Maria; Saab, Fadi; Saratzis, Athanasios; Sbarzaglia, Paolo; Schmidt, Andrej; Secemsky, Eric; Siah, Michael; Sillesen, Henrik; Simonte, Gioele; Sirvent, Marc; Sommerset, Jill; Steiner, Sabine; Sakr, Ahmed; Scheinert, Dierk; Shishebor, Mehdi; Spiliopoulos, Stavros; Spinelli, Alessio; Stravoulakis, Konstantinos; Taneva, Gergana; Teso, Desarom; Tessarek, Joerg; Theivacumar, Selva; Thomas, Anish; Thomas, Shannon; Thulasidasan, Narayan; Torsello, Giovanni; Tripathi, Ramesh; Troisi, Nicola; Tummala, Srini; Tummala, Venkat; Twine, Christopher; Uberoi, Raman; Ucci, Alessandro; Valenti, Domenico; van den Berg, Jos; van den Heuvel, Daniel; Van Herzeele, Isabelle; Varcoe, Ramon; Vega de Ceniga, Melina; Veith, Frank J; Venermo, Maarit; Vijaynagar, Badri; Virdee, Sanjiv; Von Stempel, Conrad; Voûte, Michiel T; Khee Yeung, Kak; Zeller, Thomas; Zayed, Hany; Montero Baker, Miguel
PMID: 38523459
ISSN: 1545-1550
CID: 5645462

Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learning

Hu, Yuxuan; Lui, Albert; Goldstein, Mark; Sudarshan, Mukund; Tinsay, Andrea; Tsui, Cindy; Maidman, Samuel D; Medamana, John; Jethani, Neil; Puli, Aahlad; Nguy, Vuthy; Aphinyanaphongs, Yindalon; Kiefer, Nicholas; Smilowitz, Nathaniel R; Horowitz, James; Ahuja, Tania; Fishman, Glenn I; Hochman, Judith; Katz, Stuart; Bernard, Samuel; Ranganath, Rajesh
BACKGROUND:Myocardial infarction and heart failure are major cardiovascular diseases that affect millions of people in the US with the morbidity and mortality being highest among patients who develop cardiogenic shock. Early recognition of cardiogenic shock allows prompt implementation of treatment measures. Our objective is to develop a new dynamic risk score, called CShock, to improve early detection of cardiogenic shock in cardiac intensive care unit (ICU). METHODS:We developed and externally validated a deep learning-based risk stratification tool, called CShock, for patients admitted into the cardiac ICU with acute decompensated heart failure and/or myocardial infarction to predict onset of cardiogenic shock. We prepared a cardiac ICU dataset using MIMIC-III database by annotating with physician adjudicated outcomes. This dataset that consisted of 1500 patients with 204 having cardiogenic/mixed shock was then used to train CShock. The features used to train the model for CShock included patient demographics, cardiac ICU admission diagnoses, routinely measured laboratory values and vital signs, and relevant features manually extracted from echocardiogram and left heart catheterization reports. We externally validated the risk model on the New York University (NYU) Langone Health cardiac ICU database that was also annotated with physician adjudicated outcomes. The external validation cohort consisted of 131 patients with 25 patients experiencing cardiogenic/mixed shock. RESULTS:CShock achieved an area under the receiver operator characteristic curve (AUROC) of 0.821 (95% CI 0.792-0.850). CShock was externally validated in the more contemporary NYU cohort and achieved an AUROC of 0.800 (95% CI 0.717-0.884), demonstrating its generalizability in other cardiac ICUs. Having an elevated heart rate is most predictive of cardiogenic shock development based on Shapley values. The other top ten predictors are having an admission diagnosis of myocardial infarction with ST-segment elevation, having an admission diagnosis of acute decompensated heart failure, Braden Scale, Glasgow Coma Scale, Blood urea nitrogen, Systolic blood pressure, Serum chloride, Serum sodium, and Arterial blood pH. CONCLUSIONS:The novel CShock score has the potential to provide automated detection and early warning for cardiogenic shock and improve the outcomes for the millions of patients who suffer from myocardial infarction and heart failure.
PMID: 38518758
ISSN: 2048-8734
CID: 5640892

Clinical outcomes among initial survivors of cryptogenic new-onset refractory status epilepsy (NORSE)

Costello, Daniel J; Matthews, Elizabeth; Aurangzeb, Sidra; Doran, Elisabeth; Stack, Jessica; Wesselingh, Robb; Dugan, Patricia; Choi, Hyunmi; Depondt, Chantal; Devinsky, Orrin; Doherty, Colin; Kwan, Patrick; Monif, Mastura; O'Brien, Terence J; Sen, Arjune; Gaspard, Nicolas
OBJECTIVE:New-onset refractory status epilepticus (NORSE) is a rare but severe clinical syndrome. Despite rigorous evaluation, the underlying cause is unknown in 30%-50% of patients and treatment strategies are largely empirical. The aim of this study was to describe clinical outcomes in a cohort of well-phenotyped, thoroughly investigated patients who survived the initial phase of cryptogenic NORSE managed in specialist centers. METHODS:Well-characterized cases of cryptogenic NORSE were identified through the EPIGEN and Critical Care EEG Monitoring Research Consortia (CCEMRC) during the period 2005-2019. Treating epileptologists reported on post-NORSE survival rates and sequelae in patients after discharge from hospital. Among survivors >6 months post-discharge, we report the rates and severity of active epilepsy, global disability, vocational, and global cognitive and mental health outcomes. We attempt to identify determinants of outcome. RESULTS:Among 48 patients who survived the acute phase of NORSE to the point of discharge from hospital, 9 had died at last follow-up, of whom 7 died within 6 months of discharge from the tertiary care center. The remaining 39 patients had high rates of active epilepsy as well as vocational, cognitive, and psychiatric comorbidities. The epilepsy was usually multifocal and typically drug resistant. Only a minority of patients had a good functional outcome. Therapeutic interventions were heterogenous during the acute phase of the illness. There was no clear relationship between the nature of treatment and clinical outcomes. SIGNIFICANCE/CONCLUSIONS:Among survivors of cryptogenic NORSE, longer-term outcomes in most patients were life altering and often catastrophic. Treatment remains empirical and variable. There is a pressing need to understand the etiology of cryptogenic NORSE and to develop tailored treatment strategies.
PMID: 38498313
ISSN: 1528-1167
CID: 5640142

Progression free survival of myeloma patients who become IFE-negative correlates with the detection of residual monoclonal free light chain (FLC) by mass spectrometry

Giles, H V; Drayson, M T; Kishore, B; Pawlyn, C; Kaiser, M; Cook, G; de Tute, R; Owen, R G; Cairns, D; Menzies, T; Davies, F E; Morgan, G J; Pratt, G; Jackson, G H
Deeper responses are associated with improved survival in patients being treated for myeloma. However, the sensitivity of the current blood-based assays is limited. Historical studies suggested that normalisation of the serum free light chain (FLC) ratio in patients who were negative by immunofixation electrophoresis (IFE) was associated with improved outcomes. However, recently this has been called into question. Mass spectrometry (MS)-based FLC assessments may offer a superior methodology for the detection of monoclonal FLC due to greater sensitivity. To test this hypothesis, all available samples from patients who were IFE negative after treatment with carfilzomib and lenalidomide-based induction and autologous stem cell transplantation (ASCT) in the Myeloma XI trial underwent FLC-MS testing. FLC-MS response assessments from post-induction, day+100 post-ASCT and six months post-maintenance randomisation were compared to serum FLC assay results. Almost 40% of patients had discordant results and 28.7% of patients with a normal FLC ratio had residual monoclonal FLC detectable by FLC-MS. FLC-MS positivity was associated with reduced progression-free survival (PFS) but an abnormal FLC ratio was not. This study demonstrates that FLC-MS provides a superior methodology for the detection of residual monoclonal FLC with FLC-MS positivity identifying IFE-negative patients who are at higher risk of early progression.
PMCID:10948753
PMID: 38499538
ISSN: 2044-5385
CID: 5640222

Factors associated with radiological misstaging of pancreatic ductal adenocarcinoma: A retrospective observational study

Yasrab, Mohammad; Thakker, Sameer; Wright, Michael J; Ahmed, Taha; He, Jin; Wolfgang, Christopher L; Chu, Linda C; Weiss, Matthew J; Kawamoto, Satomi; Johnson, Pamela T; Fishman, Elliot K; Javed, Ammar A
PURPOSE/OBJECTIVE:Accurate staging of disease is vital in determining appropriate care for patients with pancreatic ductal adenocarcinoma (PDAC). It has been shown that the quality of scans and the experience of a radiologist can impact computed tomography (CT) based assessment of disease. The aim of the current study was to evaluate the impact of the rereading of outside hospital (OH) CT by an expert radiologist and a repeat pancreatic protocol CT (PPCT) on staging of disease. METHODS:Patients evaluated at the our institute's pancreatic multidisciplinary clinic (2006 to 2014) with OH scan and repeat PPCT performed within 30 days were included. In-house radiologists staged disease using OH scans and repeat PPCT, and factors associated with misstaging were determined. RESULTS:The study included 100 patients, with a median time between OH scan and PPCT of 19 days (IQR: 13-23 days.) Stage migration was mostly accounted for by upstaging of disease (58.8 % to 83.3 %) in all comparison groups. When OH scans were rereviewed, 21.5 % of the misstaging was due to missed metastases, however, when rereads were compared to the PPCT, occult metastases accounted for the majority of misstaged patients (62.5 %). Potential factors associated with misstaging were primarily related to imaging technique. CONCLUSION/CONCLUSIONS:A repeat PPCT results in increased detection of metastatic disease that rereviews of OH scans may otherwise miss. Accessible insurance coverage for repeat PPCT imaging even within 30 days of an OH scan could help optimize delivery of care and alleviate burdens associated with misstaging.
PMID: 38522966
ISSN: 1535-6302
CID: 5644372

The power of many brains: Catalyzing neuropsychiatric discovery through open neuroimaging data and large-scale collaboration

Lu, Bin; Chen, Xiao; Xavier Castellanos, Francisco; Thompson, Paul M; Zuo, Xi-Nian; Zang, Yu-Feng; Yan, Chao-Gan
Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric disorders. By pooling images from various cohorts, statistical power has increased, enabling the detection of subtle abnormalities and robust associations, and fostering new research methods. Global collaborations in imaging have furthered our knowledge of the neurobiological foundations of brain disorders and aided in imaging-based prediction for more targeted treatment. Large-scale magnetic resonance imaging initiatives are driving innovation in analytics and supporting generalizable psychiatric studies. We also emphasize the significant role of big data in understanding neural mechanisms and in the early identification and precise treatment of neuropsychiatric disorders. However, challenges such as data harmonization across different sites, privacy protection, and effective data sharing must be addressed. With proper governance and open science practices, we conclude with a projection of how large-scale imaging resources and collaborations could revolutionize diagnosis, treatment selection, and outcome prediction, contributing to optimal brain health.
PMID: 38519398
ISSN: 2095-9281
CID: 5640992

Measuring Outcomes in the Treatment of Obesity

Jenkins, Megan; Kurian, Marina; Moore, Rachel
PMID: 38055228
ISSN: 2168-6262
CID: 5595752

Maternal COVID-19 Vaccination and Prevention of Symptomatic Infection in Infants

Cardemil, Cristina V; Cao, Yi; Posavad, Christine M; Badell, Martina L; Bunge, Katherine; Mulligan, Mark J; Parameswaran, Lalitha; Olson-Chen, Courtney; Novak, Richard M; Brady, Rebecca C; DeFranco, Emily; Gerber, Jeffrey S; Pasetti, Marcela; Shriver, Mallory; Coler, Rhea; Berube, Bryan; Suthar, Mehul S; Moreno, Alberto; Gao, Fei; Richardson, Barbra A; Beigi, Richard; Brown, Elizabeth; Neuzil, Kathleen M; Munoz, Flor M; ,
BACKGROUND AND OBJECTIVES/UNASSIGNED:Maternal vaccination may prevent infant coronavirus disease 2019 (COVID-19). We aimed to quantify protection against infection from maternally derived vaccine-induced antibodies in the first 6 months of an infant's life. METHODS/UNASSIGNED:Infants born to mothers vaccinated during pregnancy with 2 or 3 doses of a messenger RNA COVID-19 vaccine (nonboosted or boosted, respectively) had full-length spike (Spike) immunoglobulin G (IgG), pseudovirus 614D, and live virus D614G, and omicron BA.1 and BA.5 neutralizing antibody (nAb) titers measured at delivery. Infant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was determined by verified maternal-report and laboratory confirmation through prospective follow-up to 6 months of age between December 2021 and July 2022. The risk reduction for infection by dose group and antibody titer level was estimated in separate models. RESULTS/UNASSIGNED:Infants of boosted mothers (n = 204) had significantly higher Spike IgG, pseudovirus, and live nAb titers at delivery than infants of nonboosted mothers (n = 271), and were 56% less likely to acquire infection in the first 6 months (P = .03). Irrespective of boost, for each 10-fold increase in Spike IgG titer at delivery, the infant's risk of acquiring infection was reduced by 47% (95% confidence interval 8%-70%; P = .02). Similarly, a 10-fold increase in pseudovirus titers against Wuhan Spike, and live virus nAb titers against D614G, and omicron BA.1 and BA.5 at delivery were associated with a 30%, 46%, 56%, and 60% risk reduction, respectively. CONCLUSIONS/UNASSIGNED:Higher transplacental binding and nAb titers substantially reduced the risk of SARS-CoV-2 infection in infants, and a booster dose amplified protection during a period of omicron predominance. Until infants are age-eligible for vaccination, maternal vaccination provides passive protection against symptomatic infection during early infancy.
PMID: 38332733
ISSN: 1098-4275
CID: 5632472

Dynamics of Serum CA19-9 in Patients Undergoing Pancreatic Cancer Resection

van Oosten, A F; Groot, V P; Dorland, G; Burkhart, Richard A; Wolfgang, C L; van Santvoort, H C; He, J; Molenaar, I Q; Daamen, L A
BACKGROUND:Carbohydrate antigen (CA) 19-9 is an established perioperative prognostic biomarker for pancreatic ductal adenocarcinoma (PDAC). However, it is unclear how CA19-9 monitoring should be used during postoperative surveillance to detect recurrence and to guide the initiation of recurrence-focused therapy. OBJECTIVE:This study aimed to elucidate the value of CA19-9 as a diagnostic biomarker for disease recurrence in patients who underwent PDAC resection. METHODS:Serum CA19-9 levels at diagnosis, after surgery, and during postoperative follow-up were analyzed in patients who underwent PDAC resection. All patients with at least two postoperative follow-up CA19-9 measurements prior to recurrence were included. Patients deemed to be non-secretors of CA19-9 were excluded. The relative increase in postoperative CA19-9 was calculated for each patient by dividing the maximum postoperative CA19-9 value by the first postoperative value. Receiver operating characteristic (ROC) analysis was performed to identify the optimal threshold for the relative increase in CA19-9 levels to identify recurrence in the training set using Youden's index. The performance of this cutoff was validated in a test set by calculating the area under the curve (AUC) and was compared to the performance of the optimal cutoff for postoperative CA19-9 measurements as a continuous value. In addition, sensitivity, specificity, and predictive values were assessed. RESULTS:In total, 271 patients were included, of whom 208 (77%) developed recurrence. ROC analysis demonstrated that a relative increase in postoperative serum CA19-9 of 2.6x was predictive of recurrence, with 58% sensitivity, 83% specificity, 95% positive predictive value, and 28% negative predictive value. The AUC for a 2.6x relative increase in CA19-9 level was 0.719 in the training set and 0.663 in the test set. The AUC of postoperative CA19-9 as a continuous value (optimal threshold, 52) was 0.671 in the training set. In the training set, the detection of a 2.6-fold increase in CA19-9 preceded the detection of recurrence by a mean difference of 7 months (P<0.001) and in the test set by 10 months (P<0.001). CONCLUSION/CONCLUSIONS:A relative increase in postoperative serum CA19-9 level of 2.6-fold is a stronger predictive marker for recurrence than a continuous CA19-9 cutoff. A relative CA19-9 increase can precede the detection of recurrence on imaging for up to 7-10 months. Therefore, CA19-9 dynamics can be used as a biomarker to guide the initiation of recurrence-focused treatment.
PMID: 37389896
ISSN: 1528-1140
CID: 5540592