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Mao Y, Chen Y, Wang A. Effect of chained one-stop emergency nursing combined with optimized triage path nursing on the rescue effect of chest pain patients in emergency department. Biotechnol Genet Eng Rev 2024; 40:1302-1313. [PMID: 36951456 DOI: 10.1080/02648725.2023.2193479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 03/16/2023] [Indexed: 03/24/2023]
Abstract
This study aimed to investigate the effect of chained one-stop emergency nursing combined with optimized triage path nursing on emergency chest pain patients. Data of 142 patients with chest pain in emergency department of our hospital were retrospectively analyzed, and from March to May 2022,71 patients with optimized triage route nursing were treated as control group, from June to August 2022, 71 patients with chain one-stop emergency care combined with optimized triage route care were selected as the observation group. Data of completion time of the first electrocardiogram (ECG) completion, troponin result giving time, door to balloon (D to B) time, length of hospital stay and rescue time (disease condition initial assessment time, preliminary examination time, first medical contact time of balloon dilation, D to B dilation time) were collected. The complication rate, adverse event rate and nursing satisfaction were compared between the two groups. The completion time of the first ECG, troponin result giving time, D to B time, initial condition assessment time, hospital stay and rescue time in the observation group were shorter than those in the control group, (all P<0.05). The incidence of complications and adverse events in the observation group were lower than control group (both P<0.05). The scores of nursing satisfaction in the observation group were evidently higher than those in the control group, (P<0.05). Chained one-stop emergency nursing combined with optimized triage path nursing has a good effect on emergency chest pain patients. .
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Affiliation(s)
- Ying Mao
- Department of Emergency, Qingdao Chengyang District People's Hospital, Qingdao, Shandong, China
| | - Yujuan Chen
- Department of Emergency, Qingdao Chengyang District People's Hospital, Qingdao, Shandong, China
| | - Anyan Wang
- Department of Emergency, Qingdao Chengyang District People's Hospital, Qingdao, Shandong, China
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Luciano A, Robinson L, Garland G, Lyons B, Korstanje R, Di Francesco A, Churchill GA. Longitudinal fragility phenotyping contributes to the prediction of lifespan and age-associated morbidity in C57BL/6 and Diversity Outbred mice. GeroScience 2024; 46:4937-4954. [PMID: 38935230 DOI: 10.1007/s11357-024-01226-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 05/24/2024] [Indexed: 06/28/2024] Open
Abstract
Aging studies in mammalian models often depend on natural lifespan data as a primary outcome. Tools for lifespan prediction could accelerate these studies and reduce the need for veterinary intervention. Here, we leveraged large-scale longitudinal frailty and lifespan data on two genetically distinct mouse cohorts to evaluate noninvasive strategies to predict life expectancy in mice. We applied a modified frailty assessment, the Fragility Index, derived from existing frailty indices with additional deficits selected by veterinarians. We developed an ensemble machine learning classifier to predict imminent mortality (95% proportion of life lived [95PLL]). Our algorithm represented improvement over previous predictive criteria but fell short of the level of reliability that would be needed to make advanced prediction of lifespan and thus accelerate lifespan studies. Highly sensitive and specific frailty-based predictive endpoint criteria for aged mice remain elusive. While frailty-based prediction falls short as a surrogate for lifespan, it did demonstrate significant predictive power and as such must contain information that could be used to inform the conclusion of aging experiments. We propose a frailty-based measure of healthspan as an alternative target for aging research and demonstrate that lifespan and healthspan criteria reveal distinct aspects of aging in mice.
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Fekete M, Major D, Feher A, Fazekas-Pongor V, Lehoczki A. Geroscience and pathology: a new frontier in understanding age-related diseases. Pathol Oncol Res 2024; 30:1611623. [PMID: 38463143 PMCID: PMC10922957 DOI: 10.3389/pore.2024.1611623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/07/2024] [Indexed: 03/12/2024]
Abstract
Geroscience, a burgeoning discipline at the intersection of aging and disease, aims to unravel the intricate relationship between the aging process and pathogenesis of age-related diseases. This paper explores the pivotal role played by geroscience in reshaping our understanding of pathology, with a particular focus on age-related diseases. These diseases, spanning cardiovascular and cerebrovascular disorders, malignancies, and neurodegenerative conditions, significantly contribute to the morbidity and mortality of older individuals. We delve into the fundamental cellular and molecular mechanisms underpinning aging, including mitochondrial dysfunction and cellular senescence, and elucidate their profound implications for the pathogenesis of various age-related diseases. Emphasis is placed on the importance of assessing key biomarkers of aging and biological age within the realm of pathology. We also scrutinize the interplay between cellular senescence and cancer biology as a central area of focus, underscoring its paramount significance in contemporary pathological research. Moreover, we shed light on the integration of anti-aging interventions that target fundamental aging processes, such as senolytics, mitochondria-targeted treatments, and interventions that influence epigenetic regulation within the domain of pathology research. In conclusion, the integration of geroscience concepts into pathological research heralds a transformative paradigm shift in our understanding of disease pathogenesis and promises breakthroughs in disease prevention and treatment.
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Affiliation(s)
- Monika Fekete
- Department of Public Health, Semmelweis University, Budapest, Hungary
| | - David Major
- Department of Public Health, Semmelweis University, Budapest, Hungary
| | - Agnes Feher
- Department of Public Health, Semmelweis University, Budapest, Hungary
| | | | - Andrea Lehoczki
- Department of Public Health, Semmelweis University, Budapest, Hungary
- Departments of Hematology and Stem Cell Transplantation, South Pest Central Hospital, National Institute of Hematology and Infectious Diseases, Saint Ladislaus Campus, Budapest, Hungary
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Luciano A, Robinson L, Garland G, Lyons B, Korstanje R, Di Francesco A, Churchill GA. Longitudinal Fragility Phenotyping Predicts Lifespan and Age-Associated Morbidity in C57BL/6 and Diversity Outbred Mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.06.579096. [PMID: 38370707 PMCID: PMC10871234 DOI: 10.1101/2024.02.06.579096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Aging studies in mammalian models often depend on natural lifespan data as a primary outcome. Tools for lifespan prediction could accelerate these studies and reduce the need for veterinary intervention. Here, we leveraged large-scale longitudinal frailty and lifespan data on two genetically distinct mouse cohorts to evaluate noninvasive strategies to predict life expectancy in mice. We applied a modified frailty assessment, the Fragility Index, derived from existing frailty indices with additional deficits selected by veterinarians. We developed an ensemble machine learning classifier to predict imminent mortality (95% proportion of life lived [95PLL]). Our algorithm represented improvement over previous predictive criteria but fell short of the level of reliability that would be needed to make advanced prediction of lifespan and thus accelerate lifespan studies. Highly sensitive and specific frailty-based predictive endpoint criteria for aged mice remain elusive. While frailty-based prediction falls short as a surrogate for lifespan, it did demonstrate significant predictive power and as such must contain information that could be used to inform the conclusion of aging experiments. We propose a frailty-based measure of healthspan as an alternative target for aging research and demonstrate that lifespan and healthspan criteria reveal distinct aspects of aging in mice.
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Thyne KM, Salmon AB. Sexually dimorphic effects of methionine sulfoxide reductase A (MsrA) on murine longevity and health span during methionine restriction. GeroScience 2023; 45:3003-3017. [PMID: 37391679 PMCID: PMC10643651 DOI: 10.1007/s11357-023-00857-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 06/17/2023] [Indexed: 07/02/2023] Open
Abstract
Methionine restriction (MR) extends lifespan in various model organisms, and understanding the molecular effectors of MR could expand the repertoire of tools targeting the aging process. Here, we address to what extent the biochemical pathway responsible for redox metabolism of methionine plays in regulating the effects of MR on lifespan and health span. Aerobic organisms have evolved methionine sulfoxide reductases to counter the oxidation of the thioether group contained in the essential amino acid methionine. Of these enzymes, methionine sulfoxide reductase A (MsrA) is ubiquitously expressed in mammalian tissues and has subcellular localization in both the cytosol and mitochondria. Loss of MsrA increases sensitivity to oxidative stress and has been associated with increased susceptibility to age-associated pathologies including metabolic dysfunction. We rationalized that limiting the available methionine with MR may place increased importance on methionine redox pathways, and that MsrA may be required to maintain available methionine for its critical uses in cellular homeostasis including protein synthesis, metabolism, and methylation. Using a genetic mutant mouse lacking MsrA, we tested the requirement for this enzyme in the effects of MR on longevity and markers of healthy aging late in life. When initiated in adulthood, we found that MR had minimal effects in males and females regardless of MsrA status. MR had minimal effect on lifespan with the exception of wild-type males where loss of MsrA slightly increased lifespan on MR. We also observed that MR drove an increase in body weight in wild-type mice only, but mice lacking MsrA tended to maintain more stable body weight throughout their lives. We also found that MR had greater benefit to males than females in terms of glucose metabolism and some functional health span assessments, but MsrA generally had minimal impact on these metrics. Frailty was also found to be unaffected by MR or MsrA in aged animals. We found that in general, MsrA was not required for the beneficial effects of MR on longevity and health span.
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Affiliation(s)
- Kevin M Thyne
- Sam and Ann Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, 78229, USA
| | - Adam B Salmon
- Sam and Ann Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, 78229, USA.
- Department of Molecular Medicine, University of Texas Health San Antonio, San Antonio, TX, 78229, USA.
- Geriatric Research Education and Clinical Center, Audie L. Murphy Hospital, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA.
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