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Nasr SS, Sherif GM, Wahab MA, Aboelkasem H. Targeting average length of hospital stay as a control measure to decrease COVID-19 hospital-acquired infection in surgical cancer patients. J Egypt Natl Canc Inst 2023; 35:36. [PMID: 37981621 DOI: 10.1186/s43046-023-00199-8] [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: 01/06/2023] [Accepted: 11/02/2023] [Indexed: 11/21/2023] Open
Abstract
BACKGROUND The global spread of coronaviruses had a great impact on the economic and social situation of most countries. As the backbone of any society, the health sector made a significant contribution through applying emergency risk management plans in order to control the pandemic. Monitoring the average length of hospital stay (ALOS) was an effective way to release the capacity of the health system during this time. The aim was to evaluate the effect of applying risk assessment/management strategies on ALOS and the impact of this ALOS on COVID-19 infection rates among cancer patients. METHODS This is a prospective cohort study. All admitted cancer patients in 6 surgical departments from January to June 2021 were included. RESULTS A total of 1287 patients were admitted to 6 surgical departments during the selected period. About 46% of them had surgery (n = 578), while 54% did not have surgery (n = 700). Among surgical patients, admission rates were highest in February and head and neck department (24% and 22.1%, respectively), and lowest in April and chest department (12.4% and 8%, respectively). ALOS was significantly different across the 6 months (p value < 0.001) with lower ALOS in (April, May, and June) than in (January-February, and March). No significant difference was found across the 6 surgical departments (p value = 0.423). Twenty-eight patients became COVID-19 positive after admission, 25 of them (89%) were infected from March to June-during the time of the third wave-and a significant decreasing linear trend (p value = 0.009) was found. CONCLUSION ALOS had significantly reduced with commitment to infection control (IC) interventions and recommendations. The significant decreasing trend of COVID-19 infection from March to June (unlike the rising curve of the 3rd COVID-19 wave by that time) could be explained by improvement in ALOS.
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Affiliation(s)
- Sarah S Nasr
- Cancer Epidemiology and Biostatistics Department, National Cancer Institute, Cairo University, Cairo, Egypt.
| | - Ghada M Sherif
- Cancer Epidemiology and Biostatistics Department, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Maha Abdel Wahab
- Anesthesia Department, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Hatem Aboelkasem
- Surgical Oncology Department, National Cancer Institute, Cairo University, Cairo, Egypt
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Kosidło JW, Wolszczak-Biedrzycka B, Matowicka-Karna J, Dymicka-Piekarska V, Dorf J. Clinical Significance and Diagnostic Utility of NLR, LMR, PLR and SII in the Course of COVID-19: A Literature Review. J Inflamm Res 2023; 16:539-562. [PMID: 36818192 PMCID: PMC9930576 DOI: 10.2147/jir.s395331] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/18/2023] [Indexed: 02/12/2023] Open
Abstract
Nowadays, society is increasingly struggling with infectious diseases that are characterized by severe course and even death. Recently, the whole world has faced the greatest epidemiological threat, which is COVID-19 caused by SARS CoV-2 virus. SARS CoV-2 infection is often accompanied by severe inflammation, which can lead to the development of different complications. Consequently, clinicians need easily interpreted and effective markers of inflammation that can predict the efficacy of the treatment and patient prognosis. Inflammation is associated with changes in many biochemical and hematological parameters, including leukocyte counts and their populations. In COVID-19, changes in leukocytes count populations such as neutrophils, lymphocytes or monocytes are observed. The numerous research confirm that indicators like neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelets-to-lymphocyte ratio (PLR) and systemic inflammatory index (SII) may prove effective in assessment patient prognosis and choosing optimal therapy. Therefore, in this review, we would like to summarize the latest knowledge about the diagnostic utility of systemic inflammatory ratios - NLR, LMR, PLR and SII in patients with COVID-19. We focused on the papers evaluating the diagnostic utility of inflammatory ratios using ROC curve published in the recent 3 years. Identification of biomarkers associated with inflammation would help the selection of patients with severe course of COVID-19 and high risk of death.
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Affiliation(s)
- Jakub Wiktor Kosidło
- Students’ Scientific Club at the Department of Clinical Laboratory Diagnostics, Medical University of Bialystok, Bialystok, Poland
| | - Blanka Wolszczak-Biedrzycka
- Department of Psychology and Sociology of Health and Public Health, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland,Warmia and Mazury Oncology Center of the Hospital of the Ministry of the Interior and Administration, Olsztyn, Poland
| | - Joanna Matowicka-Karna
- Department of Clinical Laboratory Diagnostics, Medical University of Bialystok, Bialystok, Poland
| | | | - Justyna Dorf
- Department of Clinical Laboratory Diagnostics, Medical University of Bialystok, Bialystok, Poland,Correspondence: Justyna Dorf, Department of Clinical Laboratory Diagnostics, Medical University of Bialystok, Waszyngtona 15a St., 15-269, Bialystok, Poland, Tel +48 85 8 31 87 16, Email
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Goudman L, De Smedt A, Roggeman S, Fernández-de-las-Peñas C, Hatem SM, Schiltz M, Billot M, Roulaud M, Rigoard P, Moens M. Association between Experimental Pain Measurements and the Central Sensitization Inventory in Patients at Least 3 Months after COVID-19 Infection: A Cross-Sectional Pilot Study. J Clin Med 2023; 12:jcm12020661. [PMID: 36675590 PMCID: PMC9862134 DOI: 10.3390/jcm12020661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/02/2023] [Accepted: 01/11/2023] [Indexed: 01/18/2023] Open
Abstract
Fatigue, pain, headache, brain fog, anosmia, ageusia, mood symptoms, and sleep disorders are symptoms commonly experienced by people with post-COVID-19 condition. These symptoms could be considered as manifestations of central sensitization. The aim of this study is to evaluate whether there are indicators of central sensitization by using experimental pain measurements and to determine their association with patient-reported outcome measures (PROMs). A cross-sectional study including 42 patients after COVID-19 infection was conducted. The central sensitization inventory (CSI) was administered as a PROM to evaluate central-sensitization-associated symptoms. Pressure pain thresholds (PPT), temporal summation, and descending nociceptive pain inhibition (CPM) were assessed as experimental pain measurements. The median score on the CSI was 46.5 (Q1-Q3: 33-54). The presence of central-sensitization-associated symptoms was seen in 64.3% of patients based on the CSI (≥40/100 points). A deficient CPM was seen in 12% and 14% of patients when measured at the trapezius and rectus femoris, respectively. A negative correlation between pressure sensitivity on the rectus femoris and the CSI score (r = -0.36, 95%CI -0.13 to -0.65, p = 0.007) was observed. Central-sensitization-associated symptoms were present in up to 64.3% of patients post-COVID-19 infection, based on a PROM, i.e., the CSI. A more objective evaluation of nociceptive processing through experimental pain measurements was less suggestive of indicators of central sensitization. Only a small negative correlation between pressure sensitivity and the CSI was observed, thereby pointing towards the discrepancy between the CSI and experimental pain measurements and presumably the complementary need for both to evaluate potential indicators of central sensitization in this population.
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Affiliation(s)
- Lisa Goudman
- STIMULUS Research Group, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
- Center for Neurosciences (C4N), Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
- Pain in Motion (PAIN) Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
- Research Foundation Flanders (FWO), Egmontstraat 5, 1000 Brussels, Belgium
- Correspondence: ; Tel.: +32-24775514
| | - Ann De Smedt
- STIMULUS Research Group, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
- Center for Neurosciences (C4N), Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
- Department of Physical Medicine and Rehabilitation, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Stijn Roggeman
- Department of Physical Medicine and Rehabilitation, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - César Fernández-de-las-Peñas
- Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Universidad Rey Juan Carlos, 28922 Alcorcón, Spain
- Center for Neuroplasticity and Pain (CNAP), SMI, Department of Health Science and Technology, Faculty of Medicine, Aalborg University, 9220 Aalborg, Denmark
| | - Samar M. Hatem
- STIMULUS Research Group, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
- Department of Physical Medicine and Rehabilitation, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Marc Schiltz
- STIMULUS Research Group, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
- Department of Physical Medicine and Rehabilitation, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Maxime Billot
- PRISMATICS Lab (Predictive Research in Spine/Neuromodulation Management and Thoracic Innovation/Cardiac Surgery), Poitiers University Hospital, 86021 Poitiers, France
| | - Manuel Roulaud
- PRISMATICS Lab (Predictive Research in Spine/Neuromodulation Management and Thoracic Innovation/Cardiac Surgery), Poitiers University Hospital, 86021 Poitiers, France
| | - Philippe Rigoard
- PRISMATICS Lab (Predictive Research in Spine/Neuromodulation Management and Thoracic Innovation/Cardiac Surgery), Poitiers University Hospital, 86021 Poitiers, France
- Department of Spine Surgery & Neuromodulation, Poitiers University Hospital, 86021 Poitiers, France
- Pprime Institute UPR 3346, CNRS, ISAE-ENSMA, University of Poitiers, 86360 Chasseneuil-du-Poitou, France
| | - Maarten Moens
- STIMULUS Research Group, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
- Center for Neurosciences (C4N), Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
- Pain in Motion (PAIN) Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
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Tactacan-Abrenica RJ, Almonte DG, Agrupis KA, Malijan GM, Suzuki S, dela Cruz R, Valdez RK, Arcangel L, Ariyoshi K, Smith C. Safeguarding equitable HIV service delivery at the health facility-level in a resource-limited setting during the pandemic. Trop Med Health 2022; 50:48. [PMID: 35869522 PMCID: PMC9306227 DOI: 10.1186/s41182-022-00441-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 07/17/2022] [Indexed: 11/24/2022] Open
Abstract
The COVID-19 pandemic had a severe impact on delivering essential health services, including HIV service delivery. Among the challenges encountered and addressed by the HIV and AIDS Department of the San Lazaro Hospital were ensuring continued access to antiretroviral therapy and ensuring continuity of client education and empowerment. Two years into the pandemic, challenges still ensue, such as protecting health care providers from COVID-19 and regular clinical monitoring of clients. This highlights the importance of urgent action to strengthen the resilience of health systems at all its levels, not only to respond to sudden disturbances, but also to transform and evolve to be able to better face future pandemics.
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Gu J, Wu C, Wu X, He R, Tao J, Ye W, Wu P, Hao M, Qiu W. Configurations for positive public behaviors in response to the COVID-19 pandemic: a fuzzy set qualitative comparative analysis. BMC Public Health 2022; 22:1692. [PMID: 36068522 PMCID: PMC9449292 DOI: 10.1186/s12889-022-14097-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 08/30/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The COVID-19 crisis poses considerable threats to public health, and exploring the key configuration conditions of the public behavior response is very important for emergency risk management. OBJECTIVE This study attempts to reveal differences in the conditional configuration and mechanism of public behavior based on the proposed framework, further make up for the deficiencies of existing research in explaining such issues as "How to promote the public's protective behavior or reduce the public's excessive behavior?" and finally provide new evidence and ideas for the government to improve the emergency management system. METHODS A total of 735 valid cases were obtained using an online survey and revealed the conditional configuration and mechanism of public behavior differences through a fuzzy set qualitative comparative analysis based on the proposed public behavioral framework. RESULTS The results show that critical factors including risk communication, trust, risk perception, and negative emotions alone did not constitute a necessary condition for public protective or excessive behavior. The different configurations of influencing factors reveal the complexity of public behavioral risk management, and taking adequate measures to increase public trust and reduce negative public emotions constitute the core path of risk management to enhance positive public behavior. CONCLUSIONS The configurations of various influencing factors reveal the complexity of public behavioral risk management. For behavioral risk management, governments should focus on adapting to multiple conditions according to their situations and, under the "overall perspective," formulate policies based on local conditions and further form a differentiated risk management path. Practically speaking, for the government, taking adequate measures to increase public trust and reduce negative public emotions is the core path of risk management to enhance positive public behavior.
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Affiliation(s)
- Junwang Gu
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
| | - Chunmei Wu
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China
| | - Xuanhui Wu
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China
| | - Rong He
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China
| | - Jing Tao
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China
| | - Wenhui Ye
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China
| | - Ping Wu
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China
| | - Ming Hao
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China
| | - Wei Qiu
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
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