Talat, Mohamed A.;Saleh, Rabab M.;Shehab, Mohammed M.;Khalifa, Naglaa A.;Sakr, Maha Mahmoud Hamed;Elmesalamy, Walaa M.
Clinical and Experimental Pediatrics
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제63권8호
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pp.329-334
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2020
Background: Birth asphyxia is a leading cause of neonatal mortality. Ischemia-modified albumin (IMA) levels may have a predictive role in the identification and prevention of hypoxic disorders, as they increase in cases of ischemia of the liver, heart, brain, bowel, and kidney. Purpose: This study aimed to assess the value of IMA levels as a diagnostic marker for neonatal hypoxic-ischemic encephalopathy (HIE). Methods: Sixty newborns who fulfilled 3 or more of the clinical and biochemical criteria and developed HIE as defined by Levene staging were included in our study as the asphyxia group. Neonates with congenital malformation, systemic infection, intrauterine growth retardation, low-birth weight, cardiac or hemolytic disease, family history of neurological diseases, congenital or perinatal infections, preeclampsia, diabetes, and renal diseases were excluded from the study. Sixty healthy neonates matched for gestational age and with no maternal history of illness, established respiration at birth, and an Apgar score ≥7 at 1 and 5 minutes were included as the control group. IMA was determined by double-antibody enzyme-linked immunosorbent assay of a cord blood sample collected within 30 minutes after birth. Results: Cord blood IMA levels were higher in asphyxiated newborns than in controls (250.83±36.07 pmol/mL vs. 120.24±38.9 pmol/mL). Comparison of IMA levels by HIE stage revealed a highly significant difference among them (207.3±26.65, 259.28±11.68, 294.99±4.41 pmol/mL for mild, moderate, and severe, respectively). At a cutoff of 197.6 pmol/mL, the sensitivity was 84.5%, specificity was 86%, positive predictive value was 82.8%, negative predictive value was 88.3%, and area under the curve was 0.963 (P<0.001). Conclusion: IMA levels can be a reliable marker for the early diagnosis of neonatal HIE and can be a predictor of injury severity.
James Dixon;Iain Rankin;Nicholas Diston;Joaquim Goffin;Iain Stevenson
Journal of Chest Surgery
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제57권2호
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pp.120-125
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2024
Background: This study aimed to assess the outcomes of patients with complex rib fractures undergoing operative or nonoperative management at our major trauma center. Methods: A retrospective review of all patients who were considered for surgical stabilization of rib fractures (SSRF) at a single major trauma center from May 2016 to September 2022 was performed. Results: In total, 352 patients with complex rib fractures were identified. Thirty-seven patients (11%) fulfilled the criteria for surgical management and underwent SSRF. The SSRF group had a significantly higher proportion of patients with flail chest (32 [86%] vs. 94 [27%], p<0.001) or Injury Severity Score (ISS) >15 (37 [100%] vs. 129 [41%], p<0.001). No significant differences were seen between groups for 1-year mortality. Patients who underwent SSRF within 72 hours were 6 times less likely to develop pneumonia than those in whom SSRF was delayed for over 72 hours (2 [18%] vs. 15 [58%]; odds ratio, 0.163; 95% confidence interval, 0.029-0.909; p=0.036). Prompt SSRF showed non-significant associations with shorter intensive care unit length of stay (6 days vs. 10 days, p=0.140) and duration of mechanical ventilation (5 days vs. 8 days, p=0.177). SSRF was associated with a longer hospital length of stay compared to nonoperative patients with flail chest and/or ISS >15 (19 days vs. 13 days, p=0.012), whilst SSRF within 72 hours was not. Conclusion: Surgical fixation of complex rib fractures improves outcomes in selected patient groups. Delayed surgical fixation was associated with increased rates of pneumonia and a longer hospital length of stay.
배 경 : cTnI는 심근손상의 특이 표시자로서 급성관상동맥 질환에서 높은 증가는 나쁜 예후와 상관이 있다. cTnI의 증가는 여러 가지 비심장성 중증질환에서도 관찰할 수 있다. 연구자 등은 비순환기계 중환자의 예후인자로서 cTnI의 유용성을 조사하였다. 대상 및 방법 : 2003년 1월부터 2004년 7월까지 경상대학교 병원내과계 중환자실에 급성 관상동맥 증후군 이외의 중증 질환으로 입원한 215명의 환자(남:142명, 여:73명, 평균 나이:$63{\pm}2$세)를 대상으로 하였다. 환자들은 중환자실 입원 24시간 이내에 SAPS II와 SOFA점수를 산출하였고 혈청 cTnI를 측정하였다. cTnI 양성군(${\geq}0.1{\mu}g/L$)과 음성군($<0.1{\mu}g/L$) 환자의 중환자실 제 10병일째와 30병일째 사망률을 비교하였다. cTnI 양성군에서 중환자실 제 10병일째와 30병일째에 혈청 cTnI의 평균수치를 비교하였다. cTnI 양성군에서 혈청 cTnI 수치와 SAPS II와 SOFA점수와의 상관관계를 조사하였다. 결 과 : 1) cTnI양성군 환자는 120명(56%)이었고 음성군환자는 95명(44%)였다. 2) 중환자실 제 10병일째와30병일째의 사망률은 cTnI 양성군(29%, 41%)이 음성군(12%, 21%)보다 유의하게 높았다(p<0.01). 3) cTnI 양성군에서 중환자실제10병일째와 30병일째의 cTnI 평균 수치는 비생존군($4.5{\pm}9.2{\mu}g/L$, $3.5{\pm}7.9{\mu}g/L$)이 생존군($1.8{\pm}3.6{\mu}g/L$, $2.0{\pm}3.9{\mu}g/L$)보다 유의하게 높았다(p<0.05). 4) cTnI 양성군에서 cTnI 수치는 SAPS II 점수(r=0.24, p<0.001)와 SOFA 점수(r=0.30, p<0.001)와 유의한 상관관계가 있었다. 결 론 : 혈청 cTnI는 비순환기계 중환자의 유용한 예후인자가 될 수 있을 것으로 사료된다.
Purpose: To calculate Preventable Trauma Death Rate (PTDR), Trauma and Injury Severity Score (TRISS) is the most utilized evaluation index of the trauma centers in South Korea. However, this method may have greater variation due to the small number of the denominator in each trauma center. Therefore, we would like to develop new indicators that can be used easily on quality improvement activities by increasing the denominator. Methods: The medical records of 1005 major trauma (ISS >15) patients who visited 2 regional trauma center (A center and B center) in 2014 were analyzed retrospectively. PTDR and PARK Index (Preventable Major Trauma Death Rate, PMTDR) were calculated in 731 patients with inclusion criteria. We invented PARK Index to minimize the variation of preventability of trauma death. In PTDR the denominator is all number of deaths, and in PARK Index the denominator is number of all patients who have survival probability (Ps) larger than 0.25. Numerator is the number of deaths from patients who have Ps larger than 0.25. Results: The size of denominator was 40 in A center, 49 in B center, and overall 89 in PTDR. The size of denominator was significantly increased, and 287 (7.2-fold) in A center, 422 (8.6-fold) in B center, and overall 709 (8.0-fold) in PARK Index. PARK Index was 12.9% in A center, 8.3% in B center, and overall 10.2%. Conclusion: PARK Index is calculated as a rate of mortality from all major trauma patients who have Ps larger than 0.25. PARK Index obtain an effect that denominator is increased 8.0-fold than PTDR. Therefore PARK Index is able to compensate for greater disadvantage of PTDR. PARK Index is expected to be helpful in implementing evaluation of mortality outcome and to be a new index that can be applied to a trauma center quality improvement activity.
Purpose: Recently, social interest in an organized trauma system for the treatment of patients has been increasing in government and academia and the establishment of trauma center is being considered across the country. However, establishing such a system has not been easy in Korea, because enormous experiences and resources are necessary. The objectives of this study were (1) to estimate a trauma patient's demands during the course of treatment and (2) to provide appropriate direction for trauma centers to be established in Korea. Methods: The records of 207 patients who were admitted to the Department of Trauma Surgery in Ajou University Medical Center due to trauma were retrospectively reviewed for a 1 year period from March 2010 to February 2011. Patients were reviewed for general characteristics, number of hospital days, numbers and kinds of surgeries, numbers and kinds of consultations, ISS (Injury Severity Score) and number of patients with ISS more than 15. Results: All 207 patients were enrolled. The average number of hospital days was 36.7 days. The ICU stay was 15.9 days, and the general ward stay was 20.8 days. Admitted patients occupied 9.02 beds in ICU and 11.80 beds in the general ward per day. The average number of surgeries per patient was 1.4, and surgery at the Department of Trauma Surgery was most common. Number of consultations per patient was 14.23, and consultations with orthopedic surgeons were most common. The average ISS was 18.6. The number of patients with ISS more than 15 was 141 (61.8%) and the average number of patients treated per trauma surgeon as a major trauma patient was 94.3. The number of mortalities was 20, and the mortality rate was 9.7%. Conclusion: To reduce mortality and to provide proper treatment of patients with major trauma, hospitals need some number of beds, especially in the ICU, to treat patients and to prepare them for emergent surgery. An appropriate number of trauma surgeons and various specialists for consultation are also needed.
Purpose: Major trauma patients should be transferred to a definitive care facility as early as possible because prompt management will prevent death. This study was designed to discover the obstacles leading to delayed transfers under the current emergency medical system in Korea and whether there are any negative outcomes associated with conducting procedures at primary care hospitals prior to transferring patients to higher levels of care. Methods: The medical records of major trauma patients with an Injury Severity Score above 15 within the past year were reviewed. Patients were divided three groups as follows: (A) came directly to our emergency center, (B) were transferred without CT or MRI scan at the primary care hospital and (C) transferred with CT or MRI scans. The transfer time of each group were compared and analyzed statistically. Additionally, the number and type of imaging performed at the primary care hospital were analyzed. Results: All qualified patients (n=276) were enrolled in this study: 121 patients in group A; 104 in group B; 51 in group C. There was a statistically significant difference in the transfer time between the three groups (p-value<0.001), and 79 (28.6%) were transferred to an emergency medical center within one hour. In group C, CT or MRI scans were performed an average of 1.86 times at the primary care hospital, and the median transfer time was 4 hours 5 minutes. Conclusion: Only 28.6% of the cases in the study arrived within the golden hour at a definitive care facility. Such delays are in part the result of prolonged times at the primary care hospital for radiologic examinations, such as CT or MRI scans. Major multiple trauma patients should be transferred to a definitive care facility directly or as soon as the primary survey and the resuscitation of Advanced Trauma Life Support guideline are completed at the primary care hospital.
Purpose: To evaluate the influence of how the trauma care system is applied on the management of trauma patients. Methods: We divided the patients into a pre-trauma system group and a post-trauma system group according to the time when we began to apply the trauma care system in our institution. We compared the general characteristics, injury severity score, initial response time to the trauma patients, number of preventable deaths, and clinical outcomes between the two groups. Results: The numbers of patients in the pre-trauma system group and the post-trauma system group were 188 and 257, respectively. No differences in the patient's median ages, trauma scores (ISS, RTS, TRISS) and proportions of severe trauma patients (ISS>15) were observed between the two groups. The number and the proportion of patients who were admitted to our hospital were increased in the post-trauma system group. The time interval from trauma CP activation to emergency surgery or angio-embolization, and the patient's time spent in emergency room were shortened in the post-trauma system group. However, the lengths of the ICU stay and the hospital stay, and the number of in-hospital mortalities were not improved in the post-trauma system group. In severe trauma patients (ISS>15), there were no differences between the two groups in the number and the proportion of admitted patients, and the time interval from trauma CP activation to performing a diagnostic and therapeutic procedure was not shortened in the post-trauma system group. Conclusion: Application of the trauma care system has shortened the time between the initial response and patient management. However, this improvement was not enough to result in better clinical outcomes. More trauma physicians, multidisciplinary cooperation, and a well-organized trauma management process will be needed if the maximum efficacy of the trauma system is to be achieved.
Objectives : The knee pain is the main reason of getting acupuncture treatment. In order to have confidence in the results of a study, it is necessary to establish that questionnaire is both valid and reliable in questionnaire related study. The aim of this study was to review the instruments that are currently in sue for assessing the knee joint. Methods : A literature study was performed to choose appropriate scales for assessment for pain and the function of the knee. Theoretically based scales were selected for review. Therefore, 18 scales for knee and 9 scale for pain were reviewed. the status of scales involved in knee treatment of acupuncture throughout several countries was evaluated. Results & Conclusion : Lysholm Knee Scoring Scale, Cincinnati knee rating system(CKRS) are adequate for ligament injury in knee. International Knee Documentation Committee scoring system(IKDC) may become a publication requirement for journals in view of the international standing of the committee. The available outcome measure for use in osteoarthritis are Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC), Lequesne Functional Severity Index(LFI) and Knee Injury and Osteoarthritis Outcome Score(KOOS), and in rheumatoid arthritis are McMaster-Toronto Arthritis patient function preference questionnaire(MACTAR), Quality of Life-Rheumatoid Arthritis Scale(QoL-RA Scale). Visual analog scale(VAS), verbal rating scale(VRS) are commonly used for the standard pain scale. For long term follow-up study The Medical Outcomes Study Short Form-36(SF-36), Arthritis Impact Measurement Scales(AIMS), Health Assessment Questionnaire(HAQ) should be included. Each measurement has its own composition and characteristics. Their validity, reliability, responsiveness and practical characteristics were already evaluated. We found 20 domestic and 28 overseas papers about knee treatment using acupuncture assessed with knee scales.
Purpose: This study was performed to calculate and analyze the effective radiation doses from computed tomography (CT) and radiologic intervention in patients in the emergency department (ED) with trauma critical pathway (CP) activation and further to estimate the lifetime attributable risks (LARs) for the incidence of and mortality from cancers induced by the radiation dose. Methods: Through a retrospective electrical chart review of 104 injured patients who trauma critical pathway were activated from November 2012 to March 2013, we calculated effective radiologic doses by taking the product of the dose-linear product of the scan and the conversion coefficient. After a determination of the image results, we divided the patients into two groups, negative or positive, and calculated the effective dose for each group. With these results, we estimated the LARs for the incidence of and the mortality from cancers by using the table in the Biologic Effects of Ionizing Radiation (BEIR)-VII report. Results: A total of 76 patients were enrolled. The mean age was $49.0{\pm}8.5$ years. The mean injury severity score (ISS) was $12.7{\pm}8.4$. The cumulative effective dose (CED) for individual patients varied from 2.8 mSv to 238.8 mSv, and the mean was $47.6{\pm}39.9$ mSv. The CED in patients with an $ISS{\geq}16$($63.2{\pm}26.6$ mSv) was higher than that of patients whose ISS<16($33.5{\pm}23.1$ mSv) (p<0.001). The CED in patients who were treated with surgery or intervention($69.0{\pm}45.2$ mSv) was higher than that of patients who were treated conservatively($33.6{\pm}22.4$ mSv) (p<0.001). The LARs for cancer incidence and mortality were $328.5{\pm}308.6$ and $189.0{\pm}159.3$ per 100,000 people, respectively. Conclusion: The CED and the LAR for trauma CP-activated patients in the ED were significant, so efforts should be made to decrease the effective dose received by severely injured patients.
Purpose: Prolonged stay in the emergency department (ED), which is closely related with the time interval from the ED visit to a decision to admit, might be associated with poor outcomes for trauma patients and with overcrowding of the ED. Therefore, we examined the factors affecting the delay in the decision to admit severe trauma patients. Also, a multidisciplinary department system was preliminarily evaluated to see if it could reduce the time from triage to the admission decision. Methods: A retrospective observational study was conducted at a tertiary care university hospital without a specialized trauma team or specialized trauma surgeons from January 2009 to March 2010. Severe trauma patients with an International Classification of Disease Based Injury Severity Score (ICISS) below 0.9 were included. A multivariable logistic regression analysis was used to find independent variables associated with a delay in the decision for admission which was defined as the time interval between ED arrival and admission decision exceeded 4 hours. We also simulated the time from triage to the decision for admission by a multidisciplinary department system. Results: A total of 89 patients were enrolled. The average time from triage to the admission decision was $5.2{\pm}7.1$ hours and the average length of the ED stay was $9.0{\pm}11.5$ hours. The rate of decision delay for admission was 31.5%. A multivariable regression analysis revealed that multiple trauma (odds ratio [OR]: 30.6, 95%; confidence interval [CI]: 3.18-294.71), emergency operation (OR: 0.55, 95%; CI: 0.01-0.96), and treatment in the Department of Neurosurgery (OR: 0.07, 95%; CI: 0.01-0.78) were significantly associated with the decision delay. In a simulation based on a multidisciplinary department system, the virtual time from triage to admission decision was $2.1{\pm}1.5$ hours. Conclusion: In the ED, patients with severe trauma, multiple trauma was a significant factor causing a delay in the admission decision. On the other hand, emergency operation and treatment in Department of Neurosurgery were negatively associated with the delay. The simulated time from triage to the decision for admission by a multidisciplinary department system was 3 hours shorter than the real one.
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