Acute and Critical Care

Original Articles

Pediatrics
Prevalence of extracorporeal blood purification techniques in critically ill patients before and during the COVID-19 pandemic in Egypt: Aya Osama Mohammed, Hanaa I. Rady; Acute Crit Care. 2024;39(1):70-77. Published online February 1, 2024; DOI: https://doi.org/10.4266/acc.2023.00654

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Abstract PDF: Background
Extracorporeal blood-purification techniques are frequently needed in the pediatric intensive care unit (PICU), yet data on their clinical application are lacking. This study aims to review the indications, rate of application, clinical characteristics, complications, and outcomes of patients undergoing extracorporeal blood purification (i.e., by continuous renal replacement therapy [CRRT] or therapeutic plasma exchange [TPE]) in our PICU, including before the coronavirus disease 2019 (COVID-19) pandemic in 2019 and during the pandemic from 2020 to 2022. Methods: This study included children admitted for extracorporeal blood-purification therapy in the PICU. The indications for TPE were analyzed and compared to the American Society for Apheresis categories. Results: In 82 children, 380 TPE sessions and 37 CRRT sessions were carried out children, with 65 patients (79%) receiving TPE, 17 (20.7%) receiving CRRT, and four (4.8%) receiving both therapies. The most common indications for TPE were neurological diseases (39/82, 47.5%), followed by hematological diseases (18/82, 21.9%). CRRT was mainly performed for patients suffering from acute kidney injury. Patients with neurological diseases received the greatest number of TPE sessions (295, 77.6%). Also, the year 2022 contained the greatest number of patients receiving extracorporeal blood-purification therapy (either CRRT or TPE). Conclusions: The use of extracorporeal blood-purification techniques increased from 2019 through 2022 due to mainly autoimmune dysregulation among affected patients. TPE can be safely used in an experienced PICU. No serious adverse events were observed in the patients that received TPE, and overall survival over the 4 years was 86.5%.

Pulmonary
The Mount Sinai Hospital Institute for critical care medicine response to the COVID-19 pandemic: Jennifer Wang, Evan Leibner, Jaime B. Hyman, Sanam Ahmed, Joshua Hamburger, Jean Hsieh, Neha Dangayach, Pranai Tandon, Umesh Gidwani, Andrew Leibowitz, Roopa Kohli-Seth; Acute Crit Care. 2021;36(3):201-207. Published online August 10, 2021; DOI: https://doi.org/10.4266/acc.2021.00402

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Background
The coronavirus disease 2019 (COVID-19) pandemic resulted in a surge of critically ill patients. This was especially true in New York City. We present a roadmap for hospitals and healthcare systems to prepare for a Pandemic.
Methods
This was a retrospective review of how Mount Sinai Hospital (MSH) was able to rapidly prepare to handle the pandemic. MSH, the largest academic hospital within the Mount Sinai Health System, rapidly expanded the intensive care unit (ICU) bed capacity, including creating new ICU beds, expanded the workforce, and created guidelines.
Results
MSH a 1,139-bed quaternary care academic referral hospital with 104 ICU beds expanded to 1,453 beds (27.5% increase) with 235 ICU beds (126% increase) during the pandemic peak in the first week of April 2020. From March to June 2020, with follow-up through October 2020, MSH admitted 2,591 COVID-19-positive patients, 614 to ICUs. Most admitted patients received noninvasive support including a non-rebreather mask, high flow nasal cannula, and noninvasive positive pressure ventilation. Among ICU patients, 68.4% (n=420) received mechanical ventilation; among the admitted ICU patients, 42.8% (n=263) died, and 47.8% (n=294) were discharged alive.
Conclusions
Flexible bed management initiatives; teamwork across multiple disciplines; and development and implementation of guidelines were critical accommodating the surge of critically ill patients. Non-ICU services and staff were deployed to augment the critical care work force and open new critical care units. This approach to rapidly expand bed availability and staffing across the system helped provide the best care for the patients and saved lives.

Citations

Citations to this article as recorded by

The COVID-19 Tracheostomy Experience at a Large Academic Medical Center in New York during the First Year
Dhruv Patel, Anthony Devivo, Evan Leibner, Atinuke Shittu, Usha Govindarajulu, Pranai Tandon, David Lee, Randall Owen, Gustavo Fernandez-Ranvier, Robert Hiensch, Michael Marin, Roopa Kohli-Seth, Adel Bassily-Marcus
Journal of Clinical Medicine.2024; 13(7): 2130. CrossRef
Why are there so many hospital beds in Germany?
Matthias Brunn, Torsten Kratz, Michael Padget, Marie-Caroline Clément, Marc Smyrl
Health Services Management Research.2023; 36(1): 75. CrossRef
Flow-Sizing Critical Care Resources*
Joseph L. Nates, John M. Oropello, Neeraj Badjatia, Gregory Beilman, Craig M. Coopersmith, Neil A. Halpern, Daniel L. Herr, Judith Jacobi, Roozehra Kahn, Sharon Leung, Nitin Puri, Ayan Sen, Stephen M. Pastores
Critical Care Medicine.2023; 51(11): 1552. CrossRef
Sustaining the Australian respiratory workforce through the COVID‐19 pandemic: a scoping literature review
Emily Stone, Louis B. Irving, Katrina O. Tonga, Bruce Thompson
Internal Medicine Journal.2022; 52(7): 1115. CrossRef
Outcomes of hip fracture surgery during the COVID-19 pandemic
Sherrie Wang, MaKenzie Chambers, Kelsey Martin, Grace Gilbert, Pietro M. Gentile, Rock Hwang, Rakesh Mashru, Kenneth W. Graf, Henry J. Dolch
European Journal of Orthopaedic Surgery & Traumatology.2022; 33(6): 2453. CrossRef
Rapid communication for effective medical resource allocation in the COVID-19 pandemic
Kwangha Lee
Acute and Critical Care.2021; 36(3): 262. CrossRef
Triage: Medical Details and Words Matter
Jolion McGreevy, Rosamond Rhodes
The American Journal of Bioethics.2021; 21(11): 64. CrossRef

Pulmonary
Clinical characteristics and outcomes of critically Ill patients with COVID-19 in Northeast Ohio: low mortality and length of stay: Francois Abi Fadel, Mohammed Al-Jaghbeer, Sany Kumar, Lori Griffiths, Xiaofeng Wang, Xiaozhen Han, Robert Burton; Acute Crit Care. 2020;35(4):242-248. Published online October 12, 2020; DOI: https://doi.org/10.4266/acc.2020.00619

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9 Web of Science
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Abstract PDF

Background
Published coronavirus disease 2019 (COVID-19) reports suggest higher mortality with increasing age and comorbidities. Our study describes the clinical characteristics and outcomes for all intensive care unit (ICU) patients admitted across the Cleveland Clinic enterprise, a 10-hospital health care system in Northeast Ohio, serving more than 2.7 million people.
Methods
We analyzed the quality data registry for clinical characteristics and outcomes of all COVID-19-confirmed ICU admissions. Differences in outcomes from other health care systems and published cohorts from other parts of the world were delineated.
Results
Across our health care system, 495 COVID-19 patients were admitted from March 15 to June 1, 2020. Mean patient age was 67.3 years, 206 (41.6%) were females, and 289 (58.4%) were males. Mean Acute Physiology Score was 45.3, and mean Acute Physiology and Chronic Health Evaluation III score was 60.5. In total, 215 patients (43.3%) were intubated for a mean duration of 9.2 days. Mean ICU and hospital length of stay were 7.4 and 13.9 days, respectively, while mean ICU and hospital mortality rates were 18.4% and 23.8%.
Conclusions
Our health care system cohort is the fourth largest to be reported. Lower ICU and hospital mortality and length of stay were seen compared to most other published reports. Better preparedness and state-level control of the surge in COVID-19 infections are likely the reasons for these better outcomes. Future research is needed to further delineate differences in mortality and length of stay across health care systems and over time.

Citations

Citations to this article as recorded by

Racial inequality in COVID-treatment and in-hospital length of stay in the US over time
Benjamin M. Althouse, Charlotte Baker, Peter D. Smits, Samuel Gratzl, Ryan H. Lee, Brianna M. Goodwin Cartwright, Michael Simonov, Michael D. Wang, Nicholas L. Stucky
Frontiers in Public Health.2023;[Epub] CrossRef
Effects of race on the outcome of COVID-19 in hospitalized patients
Getahun Abate, Aniruddh Kapoor, Edward Charbek, Bryan Beck, Qian Wang, Grace C. Wang, Mackenzie Steck, Jason Zoglman, Robin R. Chambeg, Sharon Frey, Daniel F. Hoft, Timothy L. Wiemken
Journal of the National Medical Association.2022; 114(1): 56. CrossRef
Hospital length of stay for COVID-19 patients: A systematic review and meta-analysis
Yousef Alimohamadi, Elahe Mansouri Yekta, Mojtaba Sepandi, Maedeh Sharafoddin, Maedeh Arshadi, Elahe Hesari
Multidisciplinary Respiratory Medicine.2022;[Epub] CrossRef
Learning from the First Wave of the Pandemic in England, Wales, and Northern Ireland
David Pilcher, Matthew Durie
American Journal of Respiratory and Critical Care Medicine.2021; 203(5): 532. CrossRef
Epidemiology, outcomes, and utilization of intensive care unit resources for critically ill COVID-19 patients in Libya: A prospective multi-center cohort study
Muhammed Elhadi, Ahmed Alsoufi, Abdurraouf Abusalama, Akram Alkaseek, Saedah Abdeewi, Mohammed Yahya, Alsnosy Mohammed, Mohammed Abdelkabir, Mohammed Huwaysh, Emad Amkhatirah, Kamel Alshorbaji, Samer Khel, Marwa Gamra, Abdulmueti Alhadi, Taha Abubaker, Mo
PLOS ONE.2021; 16(4): e0251085. CrossRef
A Multicenter Evaluation of Survival After In-Hospital Cardiac Arrest in Coronavirus Disease 2019 Patients
Abhishek Bhardwaj, Mahmoud Alwakeel, Talha Saleem, Saira Afzal, Sura Alqaisi, Aisha R. Saand, Hanan Al. Najjar, Lori Griffiths, Xiaozhen Han, Xiaofeng Wang, Silvia Perez-Protto, Benjamin S. Abella, David F. Gaieski, Abhijit Duggal, Francois Abi Fadel
Critical Care Explorations.2021; 3(5): e0425. CrossRef
Overcoming gaps: regional collaborative to optimize capacity management and predict length of stay of patients admitted with COVID-19
Michael G Usher, Roshan Tourani, Gyorgy Simon, Christopher Tignanelli, Bryan Jarabek, Craig E Strauss, Stephen C Waring, Niall A M Klyn, Burke T Kealey, Rabindra Tambyraja, Deepti Pandita, Karyn D Baum
JAMIA Open.2021;[Epub] CrossRef
Examining the Clinical Prognosis of Critically Ill Patients with COVID-19 Admitted to Intensive Care Units: A Nationwide Saudi Study
Abbas Al Mutair, Alyaa Elhazmi, Saad Alhumaid, Gasmelseed Ahmad, Ali Rabaan, Mohammed Alghadeer, Hiba Chagla, Raghavendra Tirupathi, Amit Sharma, Kuldeep Dhama, Khulud Alsalman, Zainab Alalawi, Ziyad Aljofan, Alya Al Mutairi, Mohammed Alomari, Mansour Awa
Medicina.2021; 57(9): 878. CrossRef
Comparison of characteristics and ventilatory course between coronavirus disease 2019 and Middle East respiratory syndrome patients with acute respiratory distress syndrome
Imran Khalid, Romaysaa M Yamani, Maryam Imran, Muhammad Ali Akhtar, Manahil Imran, Rumaan Gul, Tabindeh Jabeen Khalid, Ghassan Y Wali
Acute and Critical Care.2021; 36(3): 223. CrossRef

Epidemiological Characteristics Based on the Underlying Diseases for the Deaths Related to Pandemic H1N1 Influenza in Korea: Hagyung Lee, Yung A Kang, Hyun Su Kim, Su Yeun Shin, Jun Heung Kim, Jin Seok Kim, Sang Bum Hong; Korean J Crit Care Med. 2010;25(2):83-88.; DOI: https://doi.org/10.4266/kjccm.2010.25.2.83

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Abstract PDF

BACKGROUND
Since May 2009, a pandemic influenza A (H1N1) virus has emerged and spread nationwide. We describe the epidemiological characteristics of the confirmed deaths related with the 2009 H1N1 influenza pandemic in Korea from May 2009 to mid December 2009.
METHODS
This study was based on an analysis of the reports from the deaths of confirmed cases pandemic H1N1 virus until 7 December 2009 in Korea. These reports were compiled by the epidemic intelligence team at the Korea Centers for Disease Control & Prevention (KCDC) or at the provinces. The epidemic intelligence team used an identical, well-defined investigate form for reviewing the medical records and for interviewing the physicians in charge of the cases.
RESULTS
The first confirmed death occurred on August 15, 2009. Until December 7, 2009, 139 deaths had been reported. Eighty cases (57.6%) were individuals more than 60 years old. Sixty two cases (47.0%) were dead within 7 days from the onset of symptoms. One hundred three cases (74%) had underlying diseases, and cancer was the most common underlying disease. The proportion of patients using antivial medications before confirmation among the patients with underlying diseases was greater than the proportion of patients using antivial medications among the patients with no underlying diseases.
CONCLUSIONS
During the evaluation period, serious underlying diseases were present in nearly three quarters of the cases of confirmed death. We suggest that health providers consider using antiviral drugs before confirmation of pandemic H1N1 in hospitalized patients, and especially in those with underlying diseases.

Citations

Citations to this article as recorded by

Clinical Features of Hospitalized Patients with Community Acquired Pneumonia during 2009 Influenza A (H1N1) Pandemic
Myung Jae Yun, Seong Tae Lee, Hye Jin Oh, Seung June Lee, Sook Hee Song, In Sohn, Jae Phil Choi, Su Hyun Kim
The Korean Journal of Critical Care Medicine.2011; 26(3): 162. CrossRef
Pandemic Influenza (H1N1 2009) among Pregnant Korean Women
Baek-Nam Kim, Yee Gyung Kwak, Chi-Sook Moon, Yeon-Sook Kim, Eu Suk Kim, Kkot Sil Lee, Chang-Seop Lee, Ji-An Hur
Infection & Chemotherapy.2011; 43(1): 55. CrossRef
A Fatal Case in Pregnant Woman Infected by H1N1 2009 in Korea
Ji An Hur
Infection and Chemotherapy.2011; 43(2): 225. CrossRef

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