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Teixeira JP, Saa L, Kaucher KA, Villanueva RD, Shieh M, Baca CR, Harmon B, Owen ZJ, Mendez Majalca I, Schmidt DW, Singh N, Shaffi SK, Xu ZQ, Roha T, Mitchell JA, Demirjian S, Argyropoulos CP. Rapid implementation of an emergency on-site CKRT dialysate production system during the COVID-19 pandemic. BMC Nephrol 2023; 24:245. [PMID: 37608357 PMCID: PMC10463836 DOI: 10.1186/s12882-023-03260-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 06/29/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND On December 29, 2021, during the delta wave of the Coronavirus Disease 2019 (COVID-19) pandemic, the stock of premanufactured solutions used for continuous kidney replacement therapy (CKRT) at the University of New Mexico Hospital (UNMH) was nearly exhausted with no resupply anticipated due to supply chain disruptions. Within hours, a backup plan, devised and tested 18 months prior, to locally produce CKRT dialysate was implemented. This report describes the emergency implementation and outcomes of this on-site CKRT dialysate production system. METHODS This is a single-center retrospective case series and narrative report describing and reporting the outcomes of the implementation of an on-site CKRT dialysate production system. All adults treated with locally produced CKRT dialysate in December 2021 and January 2022 at UNMH were included. CKRT dialysate was produced locally using intermittent hemodialysis machines, hemodialysis concentrate, sterile parenteral nutrition bags, and connectors made of 3-D printed biocompatible rigid material. Outcomes analyzed included dialysate testing for composition and microbiologic contamination, CKRT prescription components, patient mortality, sequential organ failure assessment (SOFA) scores, and catheter-associated bloodstream infections (CLABSIs). RESULTS Over 13 days, 22 patients were treated with 3,645 L of locally produced dialysate with a mean dose of 20.0 mL/kg/h. Fluid sample testing at 48 h revealed appropriate electrolyte composition and endotoxin levels and bacterial colony counts at or below the lower limit of detection. No CLABSIs occurred within 7 days of exposure to locally produced dialysate. In-hospital mortality was 81.8% and 28-day mortality was 68.2%, though illness severity was high, with a mean SOFA score of 14.5. CONCLUSIONS Though producing CKRT fluid with IHD machines is not novel, this report represents the first description of the rapid and successful implementation of a backup plan for local CKRT dialysate production at a large academic medical center in the U.S. during the COVID-19 pandemic. Though conclusions are limited by the retrospective design and limited sample size of our analysis, our experience could serve as a guide for other centers navigating similar severe supply constraints in the future.
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Affiliation(s)
- J Pedro Teixeira
- Division of Nephrology, University of New Mexico (UNM) School of Medicine, MSC10-5550, 1 University of New Mexico, Albuquerque, NM, 87131, USA.
- Center for Adult Critical Care, UNM Hospital, Albuquerque, NM, USA.
- Acute Dialysis and CRRT Program, UNM Hospital, Albuquerque, NM, USA.
| | - Lisa Saa
- Department of Internal Medicine, UNM School of Medicine, Albuquerque, NM, USA
| | | | | | - Michelle Shieh
- Division of Nephrology, University of New Mexico (UNM) School of Medicine, MSC10-5550, 1 University of New Mexico, Albuquerque, NM, 87131, USA
- Center for Adult Critical Care, UNM Hospital, Albuquerque, NM, USA
| | - Crystal R Baca
- Acute Dialysis and CRRT Program, UNM Hospital, Albuquerque, NM, USA
| | - Brittany Harmon
- Acute Dialysis and CRRT Program, UNM Hospital, Albuquerque, NM, USA
| | - Zanna J Owen
- Acute Dialysis and CRRT Program, UNM Hospital, Albuquerque, NM, USA
| | | | - Darren W Schmidt
- Division of Nephrology, University of New Mexico (UNM) School of Medicine, MSC10-5550, 1 University of New Mexico, Albuquerque, NM, 87131, USA
| | - Namita Singh
- Division of Nephrology, University of New Mexico (UNM) School of Medicine, MSC10-5550, 1 University of New Mexico, Albuquerque, NM, 87131, USA
| | - Saeed K Shaffi
- Division of Nephrology, University of New Mexico (UNM) School of Medicine, MSC10-5550, 1 University of New Mexico, Albuquerque, NM, 87131, USA
| | - Zhi Q Xu
- Division of Nephrology, University of New Mexico (UNM) School of Medicine, MSC10-5550, 1 University of New Mexico, Albuquerque, NM, 87131, USA
- Acute Dialysis and CRRT Program, UNM Hospital, Albuquerque, NM, USA
| | - Thomas Roha
- Center for Adult Critical Care, UNM Hospital, Albuquerque, NM, USA
| | - Jessica A Mitchell
- Center for Adult Critical Care, UNM Hospital, Albuquerque, NM, USA
- Department of Emergency Medicine, UNM School of Medicine, Albuquerque, NM, USA
| | - Sevag Demirjian
- Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, OH, USA
| | - Christos P Argyropoulos
- Division of Nephrology, University of New Mexico (UNM) School of Medicine, MSC10-5550, 1 University of New Mexico, Albuquerque, NM, 87131, USA
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Keshaviah A, Huff I, Hu XC, Guidry V, Christensen A, Berkowitz S, Reckling S, Noble RT, Clerkin T, Blackwood D, McLellan SL, Roguet A, Musse I. Separating signal from noise in wastewater data: An algorithm to identify community-level COVID-19 surges in real time. Proc Natl Acad Sci U S A 2023; 120:e2216021120. [PMID: 37490532 PMCID: PMC10401018 DOI: 10.1073/pnas.2216021120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 06/11/2023] [Indexed: 07/27/2023] Open
Abstract
Wastewater monitoring has provided health officials with early warnings for new COVID-19 outbreaks, but to date, no approach has been validated to distinguish signal (sustained surges) from noise (background variability) in wastewater data to alert officials to the need for heightened public health response. We analyzed 62 wk of data from 19 sites participating in the North Carolina Wastewater Monitoring Network to characterize wastewater metrics around the Delta and Omicron surges. We found that wastewater data identified outbreaks 4 to 5 d before case data (reported on the earlier of the symptom start date or test collection date), on average. At most sites, correlations between wastewater and case data were similar regardless of how wastewater concentrations were normalized and whether calculated with county-level or sewershed-level cases, suggesting that officials may not need to geospatially align case data with sewershed boundaries to gain insights into disease transmission. Although wastewater trend lines captured clear differences in the Delta versus Omicron surge trajectories, no single wastewater metric (detectability, percent change, or flow-population normalized viral concentrations) reliably signaled when these surges started. After iteratively examining different combinations of these three metrics, we developed the Covid-SURGE (Signaling Unprecedented Rises in Groupwide Exposure) algorithm, which identifies unprecedented signals in the wastewater data. With a true positive rate of 82%, a false positive rate of 7%, and strong performance during both surges and in small and large sites, our algorithm provides public health officials with an automated way to flag community-level COVID-19 surges in real time.
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Affiliation(s)
| | - Ian Huff
- Mathematica, Inc., Princeton, NJ 08543
| | | | - Virginia Guidry
- North Carolina Department of Health and Human Services, Division of Public Health, Raleigh, NC 27609
| | - Ariel Christensen
- North Carolina Department of Health and Human Services, Division of Public Health, Raleigh, NC 27609
| | - Steven Berkowitz
- North Carolina Department of Health and Human Services, Division of Public Health, Raleigh, NC 27609
| | - Stacie Reckling
- North Carolina Department of Health and Human Services, Division of Public Health, Raleigh, NC 27609
| | - Rachel T Noble
- Institute of Marine Sciences, University of North Carolina-Chapel Hill, Morehead City, NC 28557
| | - Thomas Clerkin
- Institute of Marine Sciences, University of North Carolina-Chapel Hill, Morehead City, NC 28557
| | - Denene Blackwood
- Institute of Marine Sciences, University of North Carolina-Chapel Hill, Morehead City, NC 28557
| | - Sandra L McLellan
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53204
| | - Adélaïde Roguet
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53204
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Olanipekun T, Abe TA, Effoe VS, Musonge-Effoe JE, Chuks A, Kwara E, Caldwell A, Obeng S, Bakinde N, Westney G, Snyder R. Intensive care unit hospitalizations and outcomes in patients with severe COVID-19 during summer and fall surges in Georgia. World J Crit Care Med 2021; 10:369-376. [PMID: 34888162 PMCID: PMC8613716 DOI: 10.5492/wjccm.v10.i6.369] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/05/2021] [Accepted: 09/17/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND There is limited data on the difference in the clinical characteristics and outcomes of patients with severe coronavirus disease 2019 (COVID-19) infection in the summer compared to the fall surge.
AIM To compare the sociodemographic, clinical characteristics, and outcomes among mechanically ventilated patients with severe COVID-19 infection admitted to the intensive care unit (ICU) during the summer and fall surges in the year 2020.
METHODS We included patients admitted to the ICU and treated with invasive mechanical ventilation for COVID-19 associated respiratory failure between April 1 and December 31, 2020. Patients were categorized into summer surge for ICU admissions between June 15, 2020, and August 15, 2020, and fall surge between October 15, 2020, and December 31, 2020. We compared patients' characteristics and outcomes using descriptive and inferential statistics.
RESULTS A total of 220 patients were admitted to the Grady Memorial Hospital ICU and mechanically ventilated for COVID-19 associated hypoxemic respiratory failure during the period considered (125 during the summer surge and 95 during the fall surge). More women were admitted in the fall compared to summer (41.1% vs 36.8%, difference, 4.3%; 95%CI: 1.2, 7.5). Patients admitted in the fall had fewer comorbidities (chronic obstructive pulmonary disease, stroke, diabetes mellitus, obstructive sleep apnea and body mass index ≥ 35 kg/m2). Overall, patients in the fall had a lower ICU mortality rate (27.4% vs 38.4%, difference, -11.0; 95%CI: -6.4, -18.2), shorter length of stay on the mechanical ventilator (7 d vs 11 d, difference, 4 d; 95%CI: 2.1, 6.6) and shorter ICU length of stay (9 d vs 14 d, difference, 5 d; 95%CI: 2.7, 9.4).
CONCLUSION Patients admitted with severe COVID-19 infection requiring mechanical ventilation had better outcomes in the fall than summer. This difference observed is likely attributable to a better understanding of the condition and advances in treatment strategies.
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Affiliation(s)
- Titilope Olanipekun
- Department of Hospital Medicine, Covenant Health System, Knoxville, TN, Covenant Health System, Knoxville, TX 37922, United States
| | | | - Valery Sammah Effoe
- Department of Cardiology, Morehouse School of Medicine, Atlanta, GA 30310, United States
| | - Joffi E Musonge-Effoe
- Department of Clinical Research, Morehouse School of Medicine, Atlanta, GA 30310, United States
| | - Agusiegbe Chuks
- Department of Medicine, Morehouse School of Medicine, Atlanta, GA 30310, United States
| | - Esther Kwara
- Department of Medicine, Morehouse School of Medicine, Atlanta, GA 30310, United States
| | - Alexandra Caldwell
- Department of Medicine, Morehouse School of Medicine, Atlanta, GA 30310, United States
| | - Samed Obeng
- Department of Medicine, Morehouse School of Medicine, Atlanta, GA 30310, United States
| | - Nicolas Bakinde
- Department of Medicine, Morehouse School of Medicine, Atlanta, GA 30310, United States
| | - Gloria Westney
- Department of Medicine, Pulmonary and Critical Care Section, Morehouse School of Medicine, Atlanta, GA 30310, United States
| | - Richard Snyder
- Department of Medicine, Morehouse School of Medicine, Atlanta, GA 30310, United States
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Shao B, Tang OY, Leary OP, Abdulrazeq H, Sastry RA, Brown S, Wilson IB, Asaad WF, Gokaslan ZL. Demand for Essential Nonambulatory Neurosurgical Care Decreased While Acuity of Care Increased During the Coronavirus Disease 2019 (COVID-19) Surge. World Neurosurg 2021; 151:e523-e532. [PMID: 33905912 PMCID: PMC8589108 DOI: 10.1016/j.wneu.2021.04.080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 04/16/2021] [Accepted: 04/17/2021] [Indexed: 02/07/2023]
Abstract
Background In times of health resource reallocation, capacities must remain able to meet a continued demand for essential, nonambulatory neurosurgical acute care. This study sought to characterize the demand for and provision of neurosurgical acute care during the coronavirus disease 2019 (COVID-19) pandemic. Methods This single-center cross-sectional observational analysis compared nonambulatory neurosurgical consult encounters during the peri-surge period (March 9 to May 31, 2020) with those during an analogous period in 2019. Outcomes included consult volume, distribution of problem types, disease severity, and rate of acute operative intervention. Results A total of 1494 neurosurgical consults were analyzed. Amidst the pandemic surge, 583 consults were seen, which was 6.4 standard deviations below the mean among analogous 2016–2019 periods (mean 873; standard deviation 45, P = 0.001). Between 2019 and 2020, the proportion of degenerative spine consults decreased in favor of spinal trauma (25.6% vs. 34% and 51.9% vs. 41.4%, P = 0.088). Among aneurysmal subarachnoid hemorrhage cases, poor-grade (Hunt and Hess grades 4–5) presentations were more common (30% vs. 14.8%, P = 0.086). A greater proportion of pandemic era consults resulted in acute operative management, with an unchanged absolute frequency of acutely operative consults (123/583 [21.1%] vs. 120/911 [13.2%], P < 0.001). Conclusions Neurosurgical consult volume during the pandemic surge hit a 5-year institutional low. Amidst vast reallocation of health care resources, demand for high-acuity nonambulatory neurosurgical care continued and proportionally increased for greater-acuity pathologies. In our continued current pandemic as well as any future situations of mass health resource reallocation, neurosurgical acute care capacities must be preserved.
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Affiliation(s)
- Belinda Shao
- Department of Neurosurgery, Rhode Island Hospital, The Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
| | - Oliver Y Tang
- Department of Neurosurgery, Rhode Island Hospital, The Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Owen P Leary
- Department of Neurosurgery, Rhode Island Hospital, The Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Hael Abdulrazeq
- Department of Neurosurgery, Rhode Island Hospital, The Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Rahul A Sastry
- Department of Neurosurgery, Rhode Island Hospital, The Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Sarah Brown
- Department of Neurosurgery, Rhode Island Hospital, The Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Ira B Wilson
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Wael F Asaad
- Department of Neurosurgery, Rhode Island Hospital, The Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Ziya L Gokaslan
- Department of Neurosurgery, Rhode Island Hospital, The Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
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