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Pathak N, Luo X, Riedel MD. 13-year-old-male with a left open humerus fracture with concomitant intramuscular mid-substance biceps rupture: A case report. Trauma Case Rep 2024; 54:101118. [PMID: 39691279 PMCID: PMC11650314 DOI: 10.1016/j.tcr.2024.101118] [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] [Accepted: 11/22/2024] [Indexed: 12/19/2024] Open
Abstract
A 13-year-old male presented with an open left humeral shaft fracture with intramuscular distal biceps rupture after being struck by a car. He underwent washout, humerus fixation, and open biceps repair. Immediate postoperative course was complicated by deep infection and failure of biceps repair. He subsequently required two additional surgeries. One year later, he exhibited full, painless elbow range of motion and biceps strength. This case is the first to report an open humeral shaft fracture with concomitant intramuscular, mid-substance biceps rupture in a pediatric patient. This was successfully treated with a full functional recovery.
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Affiliation(s)
- Neil Pathak
- Yale University, Department of Orthopaedics and Rehabilitation, New Haven, CT 06510, United States of America
| | - Xuan Luo
- Yale University, Department of Orthopaedics and Rehabilitation, New Haven, CT 06510, United States of America
| | - Matthew D. Riedel
- Yale University, Department of Orthopaedics and Rehabilitation, New Haven, CT 06510, United States of America
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Zuin M, Ferrari R, Guardigli G, Malagù M, Vitali F, Zucchetti O, D'Aniello E, Di Ienno L, Gibiino F, Cimaglia P, Grosseto D, Corzani A, Galvani M, Ortolani P, Rubboli A, Tortorici G, Casella G, Sassone B, Navazio A, Rossi L, Aschieri D, Mezzanotte R, Manfrini M, Bertini M. A COVID-19 specific multiparametric and ECG-based score for the prediction of in-hospital mortality: ELCOVID score. Intern Emerg Med 2024; 19:1279-1290. [PMID: 38652232 DOI: 10.1007/s11739-024-03599-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 03/27/2024] [Indexed: 04/25/2024]
Abstract
We aimed to develop and validate a COVID-19 specific scoring system, also including some ECG features, to predict all-cause in-hospital mortality at admission. Patients were retrieved from the ELCOVID study (ClinicalTrials.gov identifier: NCT04367129), a prospective, multicenter Italian study enrolling COVID-19 patients between May to September 2020. For the model validation, we randomly selected two-thirds of participants to create a derivation dataset and we used the remaining one-third of participants as the validation set. Over the study period, 1014 hospitalized COVID-19 patients (mean age 74 years, 61% males) met the inclusion criteria and were included in this analysis. During a median follow-up of 12 (IQR 7-22) days, 359 (35%) patients died. Age (HR 2.25 [95%CI 1.72-2.94], p < 0.001), delirium (HR 2.03 [2.14-3.61], p = 0.012), platelets (HR 0.91 [0.83-0.98], p = 0.018), D-dimer level (HR 1.18 [1.01-1.31], p = 0.002), signs of right ventricular strain (RVS) (HR 1.47 [1.02-2.13], p = 0.039) and ECG signs of previous myocardial necrosis (HR 2.28 [1.23-4.21], p = 0.009) were independently associated to in-hospital all-cause mortality. The derived risk-scoring system, namely EL COVID score, showed a moderate discriminatory capacity and good calibration. A cut-off score of ≥ 4 had a sensitivity of 78.4% and 65.2% specificity in predicting all-cause in-hospital mortality. ELCOVID score represents a valid, reliable, sensitive, and inexpensive scoring system that can be used for the prognostication of COVID-19 patients at admission and may allow the earlier identification of patients having a higher mortality risk who may be benefit from more aggressive treatments and closer monitoring.
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Affiliation(s)
- Marco Zuin
- Unit of Cardiology, Department of Translational Medicine, Centro Cardiologico, Universita' degli studi di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Roberto Ferrari
- Unit of Cardiology, Maria Cecilia Hospital, Cotignola, Ravenna, Italy
| | - Gabriele Guardigli
- Unit of Cardiology, Department of Translational Medicine, Centro Cardiologico, Universita' degli studi di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Michele Malagù
- Unit of Cardiology, Department of Translational Medicine, Centro Cardiologico, Universita' degli studi di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Francesco Vitali
- Unit of Cardiology, Department of Translational Medicine, Centro Cardiologico, Universita' degli studi di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Ottavio Zucchetti
- Unit of Cardiology, Department of Translational Medicine, Centro Cardiologico, Universita' degli studi di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Emanuele D'Aniello
- Unit of Cardiology, Department of Translational Medicine, Centro Cardiologico, Universita' degli studi di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Luca Di Ienno
- Unit of Cardiology, Department of Translational Medicine, Centro Cardiologico, Universita' degli studi di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Federico Gibiino
- Unit of Cardiology, Department of Translational Medicine, Centro Cardiologico, Universita' degli studi di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy
| | - Paolo Cimaglia
- Unit of Cardiology, Maria Cecilia Hospital, Cotignola, Ravenna, Italy
| | | | | | | | - Paolo Ortolani
- Unit of Cardiology, Ospedale S. Maria della Scaletta, Imola, Italy
| | - Andrea Rubboli
- Unit of Cardiology, Ospedale S. Maria delle Croci, Ravenna, Italy
| | | | - Gianni Casella
- Unit of Cardiology, Ospedale Maggiore C.A. Pizzardi, Bologna, Italy
| | - Biagio Sassone
- Unit of Cardiology, Ospedale del Delta, Lagosanto, Ferrara, Italy
| | | | - Luca Rossi
- Unit of Cardiology, Ospedale Guglielmo da Saliceto, Piacenza, Italy
| | - Daniela Aschieri
- Unit of Cardiology, Ospedale Civile di Castel San Giovanni, Piacenza, Italy
| | | | - Marco Manfrini
- Unit of Cardiology, Maria Cecilia Hospital, Cotignola, Ravenna, Italy
| | - Matteo Bertini
- Unit of Cardiology, Department of Translational Medicine, Centro Cardiologico, Universita' degli studi di Ferrara, Via Aldo Moro, 8, 44124, Cona, Ferrara, Italy.
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Baye MF, Desta D, Hunegnaw S, Johar A, Bekele I, Angasu K, Bayleyegn NS, Abebe Getahun H, Sisay AL. Assessment of the hematological profiles among COVID-19 patients during the first and second waves in Ethiopia: A multicenter retrospective cohort study. SAGE Open Med 2024; 12:20503121241253522. [PMID: 38774743 PMCID: PMC11107322 DOI: 10.1177/20503121241253522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 04/22/2024] [Indexed: 05/24/2024] Open
Abstract
Background The coronavirus disease 2019 is highly infectious and patients with coronavirus diseases demonstrated a series of clinical symptoms caused by severe acute respiratory syndrome coronavirus-2. Without a break of the wave's hematological profile of the patients is still ambiguous and differs from wave to wave. Objective This study aimed to assess the hematological profile among coronavirus disease 2019 patients during the first and the second waves in Ethiopia. Methods A multi-centered facility-based retrospective cohort study design was conducted at six coronavirus disease 2019 treatment centers. A total of 538 study participants were enrolled in the selected coronavirus disease 2019 treatment centers during the first and second waves of the pandemic. The demographic characteristics, underlying diseases, symptoms, and hematological parameters of patients were recorded. Data were entered into Epi-Data Manager 4.6 and analyzed using STATA 14.2. An independent sample t-test was used to assess the mean differences in hematological parameters across waves. Associations between categorical variables across waves were also determined using Chi-square and Fisher exact tests. Results Among the total study participants, 240 (44.6%) and 298 (55.4%) patients were taken from wave-1 and wave-2, respectively. The average age of the study participants was 56.44 ± 16.25 years. The most frequent comorbidities in this study were hypertension, diabetes mellitus, ischemic heart disease, and asthma. The most presenting symptoms of COVID-19 infection across the two waves were presented. In the first wave, dry cough 166 (69.2%), fatigue 153 (63.75%), shortness of breath 148 (61.67%), and fever accounted 116 (48.33%), while during the second wave, dry cough 242 (81.2%), fatigue 244 (81.88%) shortness of breath 204 (68.47%) and fever account 180 (60.40%). White blood cells (WBC), neutrophils, and lymphocytes had shown increment during the first wave. Platelet count and platelet distribution width (p < 0.001) had significant mean differences across the two waves, while the other had no significant mean difference. Conclusion In the present study, dry cough, fatigue, shortness of breath, and fever were found to be the most presenting symptoms of COVID-19 infection across the two waves. Only the platelet count and platelet distribution width had significant mean differences across the two waves, while the other had no significant mean difference across waves.
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Affiliation(s)
- Minale Fekadie Baye
- Department of Biochemistry, School of Biomedical Sciences, Jimma University, Jimma, Ethiopia
| | - Diliab Desta
- Department of Anatomy, School of Biomedical Sciences, Jimma University, Jimma, Ethiopia
| | - Samuel Hunegnaw
- Department of Internal Medicine, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Ahmed Johar
- Department of Biomedical Sciences, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Israel Bekele
- Faculty of Health Sciences, School of Nursing, Jimma University, Jimma, Ethiopia
| | - Kebenesa Angasu
- Faculty of Health Sciences, School of Nursing, Jimma University, Jimma, Ethiopia
| | - Nebiyou Simegnew Bayleyegn
- Faculty of Health Sciences, Department of Surgery, Institute of Health, Jimma University, Jimma, Ethiopia
| | - Habtamu Abebe Getahun
- Public Health Faculty, Department of Epidemiology, Institute of Health, Jimma University, Jimma, Ethiopia
| | - Assefa Legesse Sisay
- Public Health Faculty, Department of Epidemiology, Institute of Health, Jimma University, Jimma, Ethiopia
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Shan D, Wang Q, Heng X, Wu X. Clinical Application of Serum Interleukin-6 Combined with Inflammatory Cytokines in the Dynamic Monitoring of Patients with Acute Cholecystitis. Int J Gen Med 2024; 17:503-508. [PMID: 38348126 PMCID: PMC10860495 DOI: 10.2147/ijgm.s444839] [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: 10/18/2023] [Accepted: 01/14/2024] [Indexed: 02/15/2024] Open
Abstract
Objective To investigate the dynamic fluctuations of serum interleukin-6 (IL-6), procalcitonin (PCT), and neutrophil counts in individuals diagnosed with acute cholecystitis. Additionally, the research seeks to investigate the potential clinical significance of these biomarkers in the early stages of acute cholecystitis. Methods This retrospective cohort study included one hundred patients with acute cholecystitis (60 with mild acute cholecystitis and 40 with severe cholecystitis) admitted to our hospital between January 2022 and December 2022 were included. The levels of various cytokines, PCT and neutrophils in serum on days 1, 3, 5, and 7 were dynamically detected. The difference in each indicator between the two groups was analysed, and the diagnostic value of each indicator for acute cholecystitis was evaluated using a receiver operating characteristic (ROC) curve. Results IL-6 and PCT levels and neutrophil counts were significantly higher in patients with moderate and severe cholecystitis than those in those with mild cholecystitis (P <0.01). The AUC values for the three indicators were all greater than 60%, and the AUC value for the joint diagnosis of the three indicators reached 90%. Conclusion Serum interleukin-6 combined with PCT and neutrophil count is helpful to determine the degree of disease development in patients with acute cholecystitis. The advantage of dynamic monitoring of the three indicators is that the detection is simple and worthy of clinical promotion.
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Affiliation(s)
- Danping Shan
- Department of Clinical Laboratory, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, People’s Republic of China
| | - Qiyao Wang
- Department of Clinical Laboratory, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, People’s Republic of China
| | - Xiang Heng
- Department of Clinical Laboratory, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, People’s Republic of China
| | - Xiaoyan Wu
- Department of Clinical Laboratory, The Second Hospital of Jiaxing, Jiaxing, Zhejiang, People’s Republic of China
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