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5. Risk Factors for Extubation Failure After Pediatric Cardiac Surgery and Impact on Outcomes: A Multicenter Analysis.

Author

Byrnes, Jonathan, Bailly, David, Werho, David, Rahman, Fazlur, Esangbedo, Ivie, Hamzah, Mohammed, Banerjee, Mousumi, Zhang, Wenying, Maher, Kevin, Schumacher, Kurt, and Deshpande, Shriprasad

Subjects
congenital heart defects, congenital heart disease, early extubation failure, extubation, extubation failure, hypoplastic left heart syndrome, late extubation failure, outcomes, postoperative care, risk factor
Abstract

IMPORTANCE: Extubation failure (EF) after pediatric cardiac surgery is associated with increased morbidity and mortality. OBJECTIVES: We sought to describe the risk factors associated with early (< 48 hr) and late (48 hr ≤ 168 hr) EF after pediatric cardiac surgery and the clinical implications of these two types of EF. DESIGN SETTING AND PARTICIPANTS: Retrospective cohort study using prospectively collected clinical data for the Pediatric Cardiac Critical Care Consortium (PC4) Registry. Pediatric patients undergoing Society of Thoracic Surgeons benchmark operation or heart transplant between 2013 and 2018 available in the PC4 Registry were included. MAIN OUTCOMES AND MEASURES: We analyzed demographics and risk factors associated with EFs (primary outcome) including by type of surgery. We identified potentially modifiable risk factors. Clinical outcomes of mortality and length of stay (LOS) were reported. RESULTS: Overall 18,278 extubations were analyzed. Unplanned extubations were excluded from the analysis. The rate of early EF was 5.2% (948) and late EF was 2.5% (461). Cardiopulmonary bypass time, ventilator duration, airway anomaly, genetic abnormalities, pleural effusion, and diaphragm paralysis contributed to both early and late EF. Extubation during day remote from shift change and nasotracheal route of initial intubation was associated with decreased risk of early EF. Extubation in the operating room was associated with an increased risk of early EF but with decreased risk of late EF. Across all operations except arterial switch, EF portrayed an increased burden of LOS and mortality. CONCLUSION AND RELEVANCE: Both early and late EF are associated with significant increase in LOS and mortality. Study provides potential benchmarking data by type of surgery. Modifiable risk factors such as route of intubation, time of extubation as well as treatment of potential contributors such as diaphragm paralysis or pleural effusion can serve as focus areas for reducing EFs.

Published
2023

12. Intubation Decision Based on Illness Severity and Mortality in COVID-19: An International Study*

Author

Chalkias, Athanasios, Huang, Yiyuan, Ismail, Anis, Pantazopoulos, Ioannis, Papagiannakis, Nikolaos, Bitterman, Brayden, Anderson, Elizabeth, Catalan, Tonimarie, Erne, Grace K., Tilley, Caroline R., Alaka, Abiola, Amadi, Kingsley M., Presswalla, Feriel, Blakely, Pennelope, Bernal-Morell, Enrique, Cebreiros López, Iria, Eugen-Olsen, Jesper, García de Guadiana Romualdo, Luis, Giamarellos-Bourboulis, Evangelos J., Loosen, Sven H., Reiser, Jochen, Tacke, Frank, Skoulakis, Anargyros, Laou, Eleni, Banerjee, Mousumi, Pop-Busui, Rodica, Hayek, Salim S., Hayek, Salim S., Blakely, Pennelope, Launius, Christopher, Berlin, Hanna, Amadi, Kingsley M., Azam, Tariq U., Shadid, Husam, Pan, Michael, O’ Hayer, Patrick, Meloche, Chelsea, Feroze, Rafey, Padalia, Kishan J., Anderson, Elizabeth, Perry, Danny, Bitar, Abbas, Kaakati, Rayan, Zhao, Lili, Zhao, Peiyao, Michaud, Erinleigh, Huang, Yiyuan, Catalan, Tonimarie, Khaleel, Ibrahim, Alaka, Abiola, Pop-Busui, Rodica, Banerjee, Mousumi, Tekumulla, Annika, Tilley, Caroline R., Tripathi, Medha, Vasbinder, Alexi, Bardwell, Alina, Presswalla, Feriel, Nelapudi, Namratha, Erne, Grace K., Chen, Jiazi, Mayette, Nathan, Sulaiman, Noor, Ismail, Anis, Pizzo, Ian, Bitterman, Brayden, Reiser, Jochen, Samelko, Beata, Hlepas, Alexander, Wang, Xuexiang, Patel, Priya, Chalkias, Athanasios, Pantazopoulos, Ioannis, Laou, Eleni, Skoulakis, Anargyros, Papagiannakis, Nikolaos, Eugen-Olsen, Jesper, Altintas, Izzet, Tingleff, Jens, Stauning, Marius, Houlind, Morten Baltzer, Lindstrøm, Mette B, Andersen, Ove, Gamst-Jensen, Hejdi, Hartmann Rasmussen, Line Jee, Rasmussen, Christian, Nehlin, Jan O., Kallemose, Thomas, Parvaiz, Imran, Loosen, Sven H., Luedde, Tom, Keitel, Verena, Giamarellos-Bourboulis, Evangelos J., Adami, Maria-Evangelia, Solomonidi, Nicky, Tsilika, Maria, Saridaki, Maria, Lekakis, Vasileios, Tacke, Frank, Tober-Lau, Pinkus, Mohr, Raphael, Kurth, Florian, Sander, Leif Erik, Jochum, Christoph, Garcia de Guadiana-Romualdo, Luis, Albaladejo-Otón, María Dolores, Rodríguez Mulero, María Dolores, Martínez, María Galindo, Olivo, Marta Hernández, Rodríguez, Valerio Campos, López, Iria Cebreiros, Carrillo, María Arnaldos, Noguera Velasco, Jose Antonio, Pascual Figal, Domingo A., Morell, Enrique Bernal, García, Antonia Alcaraz, Alcaraz García, María José, Martínez, Monica Martínez, Esteban-Torrella, Patricia, and Sancho-Rodríguez, Natalia

Published
2024
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15. Optimal Extraction of Bioactive Compounds from Gardenia and Ashwagandha Using Sine Cosine Algorithm

Author

Garg, Vanita, Banerjee, Mousumi, Kumari, Bhavita, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Saraswat, Mukesh, editor, Chowdhury, Chandreyee, editor, Kumar Mandal, Chintan, editor, and Gandomi, Amir H., editor

Published
2023
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20. Cardiovascular Events After Hematopoietic Stem Cell Transplant: Incidence and Risk Factors

Author

Vasbinder, Alexi, Hoeger, Christopher W., Catalan, Tonimarie, Anderson, Elizabeth, Chu, Catherine, Kotzin, Megan, Xie, Jeffrey, Kaakati, Rayan, Berlin, Hanna P., Shadid, Husam, Perry, Daniel, Pan, Michael, Takiar, Radhika, Padalia, Kishan, Mills, Jamie, Meloche, Chelsea, Bardwell, Alina, Rochlen, Matthew, Blakely, Pennelope, Leja, Monika, Banerjee, Mousumi, Riwes, Mary, Magenau, John, Anand, Sarah, Ghosh, Monalisa, Pawarode, Attaphol, Yanik, Gregory, Nathan, Sunita, Maciejewski, John, Okwuosa, Tochukwu, and Hayek, Salim S.

Published
2023
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25. Intensive Care Unit and Acute Care Unit Length of Stay After Congenital Heart Surgery

Author

Hart, Stephen A, Tanel, Ronn E, Kipps, Alaina K, Hoerst, Amanda K, Graupe, Margaret A, Cassidy, Steven C, Hlavacek, Anthony M, Clabby, Martha L, Bush, Lauren B, Zhang, Wenying, Banerjee, Mousumi M, Pasquali, Sara K, Gaies, Michael, and Madsen, Nicolas

Subjects
Patient Safety, Heart Disease, Cardiovascular, Pediatric, Adolescent, Child, Child, Preschool, Critical Care, Diagnosis-Related Groups, Female, Heart Defects, Congenital, Hospital Mortality, Humans, Infant, Infant, Newborn, Intensive Care Units, Length of Stay, Male, Postoperative Care, Quality Improvement, Retrospective Studies, Young Adult, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Respiratory System
Abstract

BackgroundPostoperative length of stay (LOS) is an important quality metric and is known to vary widely across hospitals after congenital heart surgery. Whether this variability is explained by factors associated with the intensive care unit (ICU) or acute care unit (ACU) remains unclear. We evaluated the relationship between ICU and ACU LOS and the impact of ACU characteristics on postoperative LOS.MethodsHospitalizations for congenital heart surgery within the Pediatric Cardiac Critical Care Consortium (PC4) registry (August 2014 to February 2018) were included. Models were developed for ICU, ACU, and postoperative LOS by adjusting for differences in case-mix across hospitals. PC4 hospitals participating in the Pediatric Acute Care Cardiology Collaborative (PAC3) were also surveyed on ACU organizational factors and practice patterns.ResultsOverall, 19,674 hospitalizations across 27 hospitals were included. There was significant variation in ICU and ACU LOS. Postperative LOS appeared to be most closely related to ICU LOS; 75% (6 of 8) of hospitals with shorter than expected postoperative LOS also had shorter than expected ICU LOS. A clear relationship between postoperative and ACU LOS was not observed. Hospitals with an ACU able to provide higher-acuity care as indexed according to the PAC3 survey were more likely to have shorter postoperative LOS (P < .01).ConclusionsFor hospitals that achieve shorter than expected postoperative LOS after congenital heart surgery, ICU LOS appears to be the primary driver. Higher-acuity resources in the ACU may be an important factor facilitating earlier transfer from the ICU. These data are key to informing quality improvement initiatives geared toward reducing postoperative LOS.

Published
2020

32. Norwood Operation: Immediate vs Delayed Sternal Closure

Author

Asfari, Ahmed, Jacobs, Jeffrey P., Byrnes, Jonathan W., Borasino, Santiago, Prodhan, Parthak, Zaccagni, Hayden, Dabal, Robert J., Sorabella, Robert A., Hammel, James M., Smith-Parrish, Melissa, Zhang, Wenying, Banerjee, Mousumi, Schumacher, Kurt R., and Tabbutt, Sarah

Published
2023
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34. Improvement in Pediatric Cardiac Surgical Outcomes Through Interhospital Collaboration

Author

Gaies, Michael, Pasquali, Sara K, Banerjee, Mousumi, Dimick, Justin B, Birkmeyer, John D, Zhang, Wenying, Alten, Jeffrey A, Chanani, Nikhil, Cooper, David S, Costello, John M, Gaynor, J William, Ghanayem, Nancy, Jacobs, Jeffrey P, Mayer, John E, Ohye, Richard G, Scheurer, Mark A, Schwartz, Steven M, Tabbutt, Sarah, and Charpie, John R

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Heart Disease, Patient Safety, Cardiovascular, Clinical Trials and Supportive Activities, Pediatric, Evaluation of treatments and therapeutic interventions, 6.4 Surgery, Good Health and Well Being, Cardiac Surgical Procedures, Child, Preschool, Cooperative Behavior, Critical Care, Female, Heart Defects, Congenital, Hospital Mortality, Humans, Infant, Infant, Newborn, Intensive Care Units, Male, Morbidity, Postoperative Complications, Quality Improvement, Registries, United States, cardiac surgery, collaborative learning, congenital, outcomes, pediatric, quality, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundPatients undergoing complex pediatric cardiac surgery remain at considerable risk of mortality and morbidity, and variation in outcomes exists across hospitals. The Pediatric Cardiac Critical Care Consortium (PC4) was formed to improve the quality of care for these patients through transparent data sharing and collaborative learning between participants.ObjectivesThe purpose of this study was to determine whether outcomes improved over time within PC4.MethodsThe study analyzed 19,600 hospitalizations (18 hospitals) in the PC4 clinical registry that included cardiovascular surgery from August 2014 to June 2018. The primary exposure was 2 years of PC4 participation; this provided adequate time for hospitals to accrue data and engage in collaborative learning. Aggregate case mix-adjusted outcomes were compared between the first 2 years of participation (baseline) and all months post-exposure. We also evaluated outcomes from the same era in a cohort of similar, non-PC4 hospitals.ResultsDuring the baseline period, there was no evidence of improvement. We observed significant improvement in the post-exposure period versus baseline for post-operative intensive care unit mortality (2.1% vs. 2.7%; 22% relative reduction [RR]; p = 0.001), in-hospital mortality (2.5% vs. 3.3%; 24% RR; p = 0.001), major complications (10.1% vs. 11.5%; 12% RR; p

Published
2019

35. Variation in Adjusted Mortality for Medical Admissions to Pediatric Cardiac ICUs*

Author

Gaies, Michael, Ghanayem, Nancy S, Alten, Jeffrey A, Costello, John M, Lasa, Javier J, Chanani, Nikhil K, Shin, Andrew Y, Retzloff, Lauren, Zhang, Wenying, Pasquali, Sara K, Banerjee, Mousumi, and Tabbutt, Sarah

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Health Sciences, Heart Disease, Patient Safety, Cardiovascular, Pediatric, Management of diseases and conditions, 7.3 Management and decision making, Good Health and Well Being, Age Factors, Child, Preschool, Comorbidity, Diagnosis-Related Groups, Extracorporeal Membrane Oxygenation, Female, Heart Diseases, Hospital Mortality, Humans, Infant, Infant, Newborn, Intensive Care Units, Pediatric, Logistic Models, Male, Quality of Health Care, Reflex, Pupillary, Respiration, Artificial, Risk Factors, Thinness, cardiac, critical care, mortality, outcomes, pediatric, quality of care, Nursing, Paediatrics and Reproductive Medicine, Pediatrics, Clinical sciences, Paediatrics
Abstract

ObjectivesPediatric cardiac ICUs should be adept at treating both critical medical and surgical conditions for patients with cardiac disease. There are no case-mix adjusted quality metrics specific to medical cardiac ICU admissions. We aimed to measure case-mix adjusted cardiac ICU medical mortality rates and assess variation across cardiac ICUs in the Pediatric Cardiac Critical Care Consortium.DesignObservational analysis.SettingPediatric Cardiac Critical Care Consortium clinical registry.PatientsAll cardiac ICU admissions that did not include cardiac surgery.InterventionsNone.Measurements and main resultsThe primary endpoint was cardiac ICU mortality. Based on multivariable logistic regression accounting for clustering, we created a case-mix adjusted model using variables present at cardiac ICU admission. Bootstrap resampling (1,000 samples) was used for model validation. We calculated a standardized mortality ratio for each cardiac ICU based on observed-to-expected mortality from the fitted model. A cardiac ICU was considered a statistically significant outlier if the 95% CI around the standardized mortality ratio did not cross 1. Of 11,042 consecutive medical admissions from 25 cardiac ICUs (August 2014 to May 2017), the observed mortality rate was 4.3% (n = 479). Final model covariates included age, underweight, prior surgery, time of and reason for cardiac ICU admission, high-risk medical diagnosis or comorbidity, mechanical ventilation or extracorporeal membrane oxygenation at admission, and pupillary reflex. The C-statistic for the validated model was 0.87, and it was well calibrated. Expected mortality ranged from 2.6% to 8.3%, reflecting important case-mix variation. Standardized mortality ratios ranged from 0.5 to 1.7 across cardiac ICUs. Three cardiac ICUs were outliers; two had lower-than-expected (standardized mortality ratio 1) mortality.ConclusionsWe measured case-mix adjusted mortality for cardiac ICU patients with critical medical conditions, and provide the first report of variation in this quality metric within this patient population across Pediatric Cardiac Critical Care Consortium cardiac ICUs. This metric will be used by Pediatric Cardiac Critical Care Consortium cardiac ICUs to assess and improve outcomes by identifying high-performing (low-mortality) centers and engaging in collaborative learning.

Published
2019

37. Fluid Accumulation After Neonatal Congenital Cardiac Operation: Clinical Implications and Outcomes

Author

Prodhan, Parthak, Garcia, Xiomara, Ramer, Shannon, Albertson, Mindy, Ghbeis, Muhammad B., Cooper, David S., Rodriquez, Zahidee, Lukacs, Mary, Zanaboni, Dominic, Sanchez de Toledo, Joan, Domnina, Yuliya A., Saenz, Lucas, Baust, Tracy, Kluck, Jane, Duncan, Linda, Koch, Joshua D., Freytag, Joshua, Sammons, Amanda, Abraha, Hideat, Butcher, John, Sasaki, Jun, Krawczeski, Catherine D., Bertrandt, Rebecca A., Raymond, Tia T., Buckley, Jason R., Schroeder, Luke, Raees, Aanish, Sosa, Lisa J., Bhat, Priya N., Neumayr, Tara M., Afonso, Natasha S., O’Neal, Erika R., Lasa, Javier J., Phillips, Patrick A., Ardisana, Amy, Gonzalez, Kim, Doman, Tammy, Viers, Suzanne, Zhang, Wenying, Hock, Kristal M., Borasino, Santiago, Bailly, David K., Alten, Jeffrey A., Gist, Katja M., Mah, Kenneth E., Kwiatkowski, David M., Valentine, Kevin M., Diddle, J.Wesley, Tadphale, Sachin, Clarke, Shanelle, Selewski, David T., Banerjee, Mousumi, Reichle, Garrett, Lin, Paul, Gaies, Michael, and Blinder, Joshua J.

Published
2022
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38. Epidemiology of Neonatal Acute Kidney Injury After Cardiac Surgery Without Cardiopulmonary Bypass

Author

Prodhan, Parthak, Garcia, Xiomara, Ramer, Shannon, Sherman, Mindy, Ghbeis, Muhammad B., Clarke, Shanelle A., Lukacs, Mary, Zanaboni, Dominic, Sanchez de Toledo, Joan, Domnina, Yuliya A., Saenz, Lucas, Baust, Tracy, Kluck, Jane, Duncan, Linda, Koch, Joshua D., Diddle, J. Wesley, Freytag, Joshua, Harris, Amanda, Abraha, Hideat, Butcher, John, Tadphale, Sachin D., Krawczeski, Catherine D., Kwiatkowski, David M., Raymond, Tia T., Burton, Grant L., Das, Ashima, Shan, Tajas, Buckley, Jason R., Schroeder, Luke, Raees, Aanish, Guidry, Bradley, Sosa, Lisa J., Bailly, David K., Valentine, Kevin M., Bhat, Priya N., Neumayr, Tara M., Afonso, Natasha S., O’Neal, Erika R., Lasa, Javier J., Huskey, Jordan L., Phillips, Patrick A., Ardisana, Amy, Gonzalez, Kim, Columb, Eric, Domar, Tammy, Viers, Suzanne, Sasaki, Jun, Rodriguez, Zahidee, Alten, Jeffrey A., Rahman, AKM Fazlur, Reichle, Garrett, Lin, Paul, Banerjee, Mousumi, Selewski, David, Gaies, Michael, Hock, Kristal M., Borasino, Santiago, and Gist, Katja M.

Published
2022
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40. Obesity, Inflammation, and Clinical Outcomes in COVID-19: A Multicenter Prospective Cohort Study.

Author

Hutten, Christina G, Padalia, Kishan, Vasbinder, Alexi, Huang, Yiyuan, Ismail, Anis, Pizzo, Ian, Diaz, Kristen Machado, Catalan, Tonimarie, Presswalla, Feriel, Anderson, Elizabeth, Erne, Grace, Bitterman, Brayden, Blakely, Pennelope, Giamarellos-Bourboulis, Evangelos J, Loosen, Sven H, Tacke, Frank, Chalkias, Athanasios, Reiser, Jochen, Eugen-Olsen, Jesper, and Banerjee, Mousumi

Subjects
DISEASE risk factors, COVID-19, PLASMINOGEN activators, RENAL replacement therapy, BODY mass index
Abstract

Context Obesity is a risk factor for coronavirus disease 2019 (COVID-19)-related outcomes; however, the mechanism remains unclear. Objective The objective of this analysis was to determine whether inflammation mediates the association between obesity and COVID-19 outcomes. Methods The International Study of Inflammation in COVID-19 (ISIC): A Prospective Multi-Center Observational Study Examining the Role of Biomarkers of Inflammation in Predicting Covid-19 Related Outcomes in Hospitalized Patients, was conducted at 10 hospitals in the United States and Europe. Participants were adults hospitalized specifically for COVID-19 between February 1, 2020, through October 19, 2022. Inflammatory biomarkers, including soluble urokinase plasminogen activator receptor (suPAR), were measured at admission. Associations were examined between body mass index (BMI, kg/m2) and a composite of death, need for mechanical ventilation, and renal replacement therapy, stratified by pre- and post-Omicron variants. The contribution of inflammation to the relationship between obesity and outcomes was assessed. Results Among 4644 participants (mean age 59.3, 45.6% male, 21.8% BMI ≥ 35), those with BMI > 40 (n = 485) had 55% higher odds of the composite outcome (95% CI, 1.21-1.98) compared with nonobese individuals (BMI < 30, n = 2358) in multivariable analysis. In multiple mediation analysis, only suPAR remained a significant mediator between BMI and composite outcome. Associations were amplified for participants younger than 65 years and with pre-Omicron variants. Conclusion Obesity is associated with worse outcomes in COVID-19, notably in younger participants and in the pre-Omicron era. Inflammation, as measured by suPAR, is a significant mediator of the association between obesity and COVID-19 outcomes. [ABSTRACT FROM AUTHOR]

Published
2024
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41. Horse-shoe-shaped RPE tear in peripheral polypoidal choroidal vasculopathy

Author

Banerjee, Mousumi, Mulay, Akanksha, and Azad, Shorya

Subjects
Health
Abstract

Byline: Mousumi. Banerjee, Akanksha. Mulay, Shorya. Azad A 60-year-old male presented with a nasal serosanguinous polypoidal lesion ( white star, [Figure 1]a), sub-hyaloid hemorrhage, horse-shoe-shaped RPE tear ( yellow arrow, [...]

Published
2023

42. Duration of Postoperative Mechanical Ventilation as a Quality Metric for Pediatric Cardiac Surgical Programs

Author

Gaies, Michael, Werho, David K, Zhang, Wenying, Donohue, Janet E, Tabbutt, Sarah, Ghanayem, Nancy S, Scheurer, Mark A, Costello, John M, Gaynor, J William, Pasquali, Sara K, Dimick, Justin B, Banerjee, Mousumi, and Schwartz, Steven M

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Bioengineering, Pediatric, Cardiovascular, Heart Disease, Patient Safety, Assistive Technology, 7.3 Management and decision making, Management of diseases and conditions, Adolescent, Adult, Benchmarking, Cardiac Surgical Procedures, Child, Child, Preschool, Female, Hospital Mortality, Humans, Infant, Infant, Newborn, Intensive Care Units, Pediatric, Male, Postoperative Care, Postoperative Complications, Quality Assurance, Health Care, Registries, Respiration, Artificial, Risk Factors, Young Adult, Cardiorespiratory Medicine and Haematology, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundFew metrics exist to assess quality of care at pediatric cardiac surgical programs, limiting opportunities for benchmarking and quality improvement. Postoperative duration of mechanical ventilation (POMV) may be an important quality metric because of its association with complications and resource utilization. In this study we modelled case-mix-adjusted POMV duration and explored hospital performance across POMV metrics.MethodsThis study used the Pediatric Cardiac Critical Care Consortium clinical registry to analyze 4,739 hospitalizations from 15 hospitals (October 2013 to August 2015). All patients admitted to pediatric cardiac intensive care units after an index cardiac operation were included. We fitted a model to predict duration of POMV accounting for patient characteristics. Robust estimates of SEs were obtained using bootstrap resampling. We created performance metrics based on observed-to-expected (O/E) POMV to compare hospitals.ResultsOverall, 3,108 patients (65.6%) received POMV; the remainder were extubated intraoperatively. Our model was well calibrated across groups; neonatal age had the largest effect on predicted POMV. These comparisons suggested clinically and statistically important variation in POMV duration across centers with a threefold difference observed in O/E ratios (0.6 to 1.7). We identified 1 hospital with better-than-expected and 3 hospitals with worse-than-expected performance (p

Published
2018

46. Prevalence and Risk Factors of Distal Symmetric Polyneuropathy Among Predominantly Non-Hispanic Black, Low-Income Patients

Author

Elafros, Melissa A., primary, Brown, Alexanndra, additional, Marcus, Huda, additional, Dawood, Thair, additional, Bachuwa, Ghassan I., additional, Banerjee, Mousumi, additional, Winch, Peter J., additional, Kvalsund, Michelle, additional, Feldman, Eva L., additional, Skolarus, Lesli E., additional, and Callaghan, Brian C., additional

Published
2024
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50. Lacteocrumenasia

Author

Banerjee, Mousumi, Rani, Deeksha, and Azad, Shorya

Subjects
Health
Abstract

Byline: Mousumi. Banerjee, Deeksha. Rani, Shorya. Azad A 48-year-old male presented with blurring of vision OD. Ocular examination depicted pseudophakia with retained lens matter (a), thick opaque membrane between the [...]

Published
2023

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