scholarly journals Factors associated with survival in adult patients with traumatic arrest: a retrospective cohort study from US trauma centers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abdel-Badih Ariss ◽  
Rana Bachir ◽  
Mazen El Sayed
Keyword(s):  
Cohort Study ◽  
Hospital Discharge ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Age Group ◽  
Trauma Centers ◽  
Level Of Evidence ◽  
Factors Associated

Abstract Background Traumatic arrests increasingly affect young adults worldwide with low reported survival rates. This study examines factors associated with survival (to hospital discharge) in traumatic arrests transported to US trauma centers. Methods This retrospective cohort study used the US National Trauma Databank 2015 dataset and included patients who presented to trauma centers with “no signs of life”. Univariate and bivariate analyses were done. Factors associated with survival were identified using multivariate regression analyses. Results The study included 5980 patients with traumatic arrests. Only 664 patients (11.1%) survived to hospital discharge. Patients were predominantly in age group 16–64 (84.6%), were mostly males (77.8%) and white (55.1%). Most were admitted to Level I (55.5%) or Level II trauma centers (31.6%). Injuries were mostly blunt (56.7%) or penetrating (39.3%). The median of the injury severity score (ISS) was 19 (interquartile range [IQR]: 9–30). Factors associated with decreased survival included: Age group ≥ 65 (Ref: 16–24), male gender, self-inflicted and other or undetermined types of injuries (Ref: assault), injuries to head and neck, injuries to torso and ISS ≥ 16 (Ref: < 16) and ED thoracotomy. While factors associated with increased survival included: All injury mechanisms (with the exception of motor vehicle transportation) (Ref: firearm), injuries to extremities or spine and back and all methods of coverage (Ref: self-pay). Conclusion Patients with traumatic arrests have poor outcomes with only 11.1% surviving to hospital discharge. Factors associated with survival in traumatic arrests were identified. These findings are important for devising injury prevention strategies and help guide trauma management protocols to improve outcomes in traumatic arrests. Level of evidence Level III.

Factors associated with survival in Adult Patients with Traumatic Arrest: A Retrospective Cohort Study from US Trauma Centers

2020 ◽  
Author(s):  
Abdel-Badih Ariss ◽  
Rana Bachir ◽  
Mazen El Sayed
Keyword(s):  
Cohort Study ◽  
Hospital Discharge ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Age Group ◽  
Trauma Centers ◽  
Level Of Evidence ◽  
Factors Associated

Abstract Background: Traumatic arrests (TA) increasingly affect young adults worldwide with low reported survival rates. This study examines factors associated with survival (to hospital discharge) in traumatic arrests transported to US trauma centers. Methods: This retrospective cohort study used the US National Trauma Databank 2015 dataset and included patients who presented to trauma centers with “no signs of life”. Univariate and bivariate analyses were done. Factors associated with survival were identified using multivariate regression analyses. Results: The study included 5,980 patients with traumatic arrests. Only 664 patients (11.1%) survived to hospital discharge. Patients were predominantly in age group 16-64 (84.6%), were mostly males (77.8%) and white (55.1%). Most were admitted to Level I (55.5%) or Level II trauma centers (31.6%). Injuries were mostly blunt (56.7%) or penetrating (39.3%). Mean ISS was 23.71 (± 20.79). Factors associated with decreased survival included: Age group ≥65 (Ref: 16-24), male gender, self-inflicted and other or undetermined types of injuries (Ref: assault), injuries to head & neck, injuries to torso and injury severity score (ISS) ≥ 16 (Ref: <16). While factors associated with increased survival included: All injury mechanisms (with the exception of Motor Vehicle Transportation (MVT)) (Ref: firearm), injuries to extremities or spine & back and all methods of coverage (Ref: self-pay).Conclusion: Patients with traumatic arrests have poor outcomes with only 11.1 % surviving to hospital discharge. Factors associated with survival in traumatic arrests were identified. These findings are important for devising injury prevention strategies and help guide trauma management protocols to improve outcomes in traumatic arrests. Level of evidence: Level III

Nonunion Rates in Hind- and Midfoot Arthrodesis in Current, Ex-, and Nonsmokers

2020 ◽  
pp. 107110072097126
Author(s):  
Jack Allport ◽  
Jayasree Ramaskandhan ◽  
Malik S. Siddique
Keyword(s):  
Risk Factor ◽  
Cohort Study ◽  
Relative Risk ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Smoking Status ◽  
Time Frame ◽  
Modifiable Risk Factor ◽  
Level Of Evidence ◽  
Significant Difference

Background: Nonunion rates in hind or midfoot arthrodesis have been reported as high as 41%. The most notable and readily modifiable risk factor that has been identified is smoking. In 2018, 14.4% of the UK population were active smokers. We examined the effect of smoking status on union rates for a large cohort of patients undergoing hind- or midfoot arthrodesis. Methods: In total, 381 consecutive primary joint arthrodeses were identified from a single surgeon’s logbook (analysis performed on a per joint basis, with a triple fusion reported as 3 separate joints). Patients were divided based on self-reported smoking status. Primary outcome was clinical union. Delayed union, infection, and the need for ultrasound bone stimulation were secondary outcomes. Results: Smoking prevalence was 14.0%, and 32.2% were ex-smokers. Groups were comparable for sex, diabetes, and body mass index. Smokers were younger and had fewer comorbidities. Nonunion rates were higher in smokers (relative risk, 5.81; 95% CI, 2.54-13.29; P < .001) with no statistically significant difference between ex-smokers and nonsmokers. Smokers had higher rates of infection ( P = .05) and bone stimulator use ( P < .001). Among smokers, there was a trend toward slower union with heavier smoking ( P = .004). Conclusion: This large retrospective cohort study confirmed previous evidence that smoking has a considerable negative effect on union in arthrodesis. The 5.81 relative risk in a modifiable risk factor is extremely high. Arthrodesis surgery should be undertaken with extreme caution in smokers. Our study shows that after cessation of smoking, the risk returns to normal, but we were unable to quantify the time frame. Level of Evidence: Level III, retrospective cohort study.

scholarly journals Characteristics, outcomes and risk factors for mortality of 522 167 patients hospitalised with COVID-19 in Brazil: a retrospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e049089
Author(s):  
Marcia C Castro ◽  
Susie Gurzenda ◽  
Eduardo Marques Macário ◽  
Giovanny Vinícius A França
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Cox Proportional Hazards ◽  
Secondary Outcome ◽  
Hospital Death ◽  
Factors Associated ◽  
Icu Admission ◽  
Hospitalised Patients

ObjectiveTo provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil.DesignRetrospective cohort study of hospitalised patients diagnosed with COVID-19.SettingData from all hospitals across Brazil.Participants522 167 hospitalised patients in Brazil by 14 December 2020 with severe acute respiratory illness, and a confirmed diagnosis for COVID-19.Primary and secondary outcome measuresPrevalence of symptoms and comorbidities was compared by clinical outcomes and intensive care unit (ICU) admission status. Survival was assessed using Kaplan Meier survival estimates. Risk factors associated with in-hospital death were evaluated with multivariable Cox proportional hazards regression.ResultsOf the 522 167 patients included in this study, 56.7% were discharged, 0.002% died of other causes, 30.7% died of causes associated with COVID-19 and 10.2% remained hospitalised. The median age of patients was 61 years (IQR, 47–73), and of non-survivors 71 years (IQR, 60–80); 292 570 patients (56.0%) were men. At least one comorbidity was present in 64.5% of patients and in 76.8% of non-survivors. From illness onset, the median times to hospital and ICU admission were 6 days (IQR, 3–9) and 7 days (IQR, 3–10), respectively; 15 days (IQR, 9–24) to death and 15 days (IQR, 11–20) to hospital discharge. Risk factors for in-hospital death included old age, Black/Brown ethnoracial self-classification, ICU admission, being male, living in the North and Northeast regions and various comorbidities. Age had the highest HRs of 5.51 (95% CI: 4.91 to 6.18) for patients≥80, compared with those ≤20.ConclusionsCharacteristics of patients and risk factors for in-hospital mortality highlight inequities of COVID-19 outcomes in Brazil. As the pandemic continues to unfold, targeted policies that address those inequities are needed to mitigate the unequal burden of COVID-19.

scholarly journals The change of coagulation profile in two-staged arthroplasty for periprosthetic joint infection patients: a retrospective cohort study

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Hao Li ◽  
Rui Li ◽  
L. L. Li ◽  
Wei Chai ◽  
Chi Xu ◽  
...  
Keyword(s):  
Cohort Study ◽  
Periprosthetic Joint Infection ◽  
Retrospective Cohort Study ◽  
Persistent Infection ◽  
Retrospective Cohort ◽  
Joint Infection ◽  
Diagnostic Study ◽  
Level Of Evidence ◽  
Coagulation Profile ◽  
Significant Difference

Abstract Aims Periprosthetic joint infection (PJI) is a serious complication of total joint arthroplasty. We performed a retrospective cohort study to evaluate (1) the change of coagulation profile in two-staged arthroplasty patients and (2) the relationship between coagulation profile and the outcomes of reimplantation. Method Between January 2011 and December 2018, a total of 202 PJI patients who were operated on with two-staged arthroplasty were included in this study initially. This study continued for 2 years and the corresponding medical records were scrutinized to establish the diagnosis of PJI based on the 2014 MSIS criteria. The coagulation profile was recorded at two designed points, (1) preresection and (2) preimplantation. The difference of coagulation profile between preresection and preimplantation was evaluated. Receiver operating characteristic curves (ROC) were used to evaluate the diagnostic efficiency of the coagulation profile and change of coagulation profile for predicting persistent infection before reimplantation. Results The levels of APTT, INR, platelet count, PT, TT, and plasma fibrinogen before spacer implantation were significantly higher than before reimplantation. No significant difference was detected in the levels of D-dimer, ACT, and AT3 between the two groups. The AUC of the combined coagulation profile and the change of combined coagulation profile for predicting persistent infection before reimplantation was 0.667 (95% CI 0.511, 0.823) and 0.667 (95% CI 0.526, 0.808), respectively. Conclusion The coagulation profile before preresection is different from before preimplantation in two-staged arthroplasty and the coagulation markers may play a role in predicting infection eradication before reimplantation when two-stage arthroplasty is performed. Level of evidence Level III, diagnostic study.

The Change of Coagulation Profile in Two-staged Arthroplasty for Periprosthetic Joint Infection Patients：A Retrospective Cohort Study

2021 ◽  
Author(s):  
Hao Li ◽  
Rui Li ◽  
Liangliang Li ◽  
Chi Xu ◽  
Wei Chai ◽  
...  
Keyword(s):  
Cohort Study ◽  
Periprosthetic Joint Infection ◽  
Retrospective Cohort Study ◽  
Persistent Infection ◽  
Retrospective Cohort ◽  
Joint Infection ◽  
Diagnostic Study ◽  
Level Of Evidence ◽  
Coagulation Profile ◽  
Significant Difference

Abstract Aims：Periprosthetic joint infection (PJI) a serious complication of total joint arthroplasty. We performed a retrospective cohort study to evaluate 1) the change of coagulation profile in two-staged arthroplasty patients 2) the relationship between coagulation profile and the outcomes of reimplantation. Method: Between 2011 January and 2018 December, a total of 202 PJI patients who were performed with two-staged arthroplasty were included in this study initially. They were followed up at least 2 years and corresponding medical records were scrutinized to establish the diagnosis of PJI based on the 2014 MSIS criteria. The coagulation profile was recorded at two designed points 1) preresection and 2) preimplantation. Then, the difference of coagulation profile between preresection and preimplantation was evaluated. Besides, receiver operating characteristic curves (ROC) were used to evaluate the diagnostic efficiency of coagulation profile and the change of coagulation profile for predicting persistent infection before reimplantation. Results: The levels of APTT, INR, platelet count, PT, TT and plasma fibrinogen before spacer implantation were significantly higher than that before reimplantation. No significant difference was detected in the levels of D-dimer, ACT, AT3 between the two groups. The AUC of the combined coagulation profile and the change of combined coagulation profile for predicting persistent infection before reimplantation was 0.667 (95%CI:(0.511,0.823) and 0.667 (95%CI: (0.526,0.808)), respectively.Conclusion: The coagulation profile before preresection is different from that before preimplantation in two-staged arthroplasty and the coagulation markers may play a role in predicting infection eradication before reimplantation when two-stage arthroplasty is performed. Level of Evidence: level III, diagnostic study

Risk factors associated with pseudoaldosteronism in patients with chronic hepatitis: A retrospective cohort study

2018 ◽  
Vol 124 (5) ◽  
pp. 607-614 ◽  
Author(s):  
Akihiro Komatsu ◽  
Tetsuhiro Yoshino ◽  
Takeshi Suzuki ◽  
Tomonori Nakamura ◽  
Takanori Kanai ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Hepatitis ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Hepatitis A ◽  
Factors Associated
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