Neurological complications is a common complication following novel triple-branched stent graft implantation in patients with Stanford type A aortic dissection (AAD). But the incidence and risk factors of postoperative delirium (POD) are not completely clear. The aim of this study was to investigate the incidence and risk factors of POD after novel triple-branched stent graft implantation.
Methods
An observational study of AAD patients who underwent novel triple-branched stent graft implantation between January 2017 and July 2019 were followed up after surgery. Patients’ delirium was screened by the Richmond Agitation-Sedation Scale and the Confusion Assessment Method for the intensive care unit from the first day after the operation, lasted 5 days. The risk factors of POD were analyzed by the Cox proportional hazard models.
Results
A total of 280 AAD patients were enrolled in this research, the incidence of POD was 37.86%. Adjusting for age, body mass index, and mechanical ventilation duration, multivariate Cox regression analysis model revealed that non-manual work (adjusted hazard ratio [AHR] = .554; 95% CI: 0.335–0.915; P = .021), Acute Physiology and Chronic Health Evaluation II (APACHE-II) scores > 20 (AHR = 3.359, 95% CI: 1.707–6.609, P < .001), hypoxemia (AHR = 1.846, 95% CI: 1.118–3.048, P = .017), and more than two types of analgesics and sedatives were independently associated with POD.
Conclusions
This study showed that risk factors independently associated with POD were APACHE-II score > 20, hypoxemia, and more types of analgesics and sedatives, and non-manual work was the protective factor.
Trial registration
This study was retrospectively registered in the Chinese Clinical Trial Registry (Registration number: ChiCTR1900022408; Date: 2019/4/10).
Hinweise
Yanjuan Lin and Qiong Chen are first co-authors.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
AD
Aortic dissection
AAD
Stanford type A aortic dissection
POD
Postoperative delirium
ICU
Intensive care unit
CPB
Cardiopulmonary bypass
SCP
Selective cerebral perfusion
CAM-ICU
Confusion Assessment Method for the Intensive Care Unit
BIS
Bispectral index
RASS
Richmond Agitation-Sedation Scale
SD
Standard deviation
QR
Quartile range
HR
Hazard ratio
CI
Confidence intervals
BMI
Body mass index
APACHE-II
Acute Physiology and Chronic Health Evaluation II
AHR
Adjusted hazard ratio
Background
Aortic dissection (AD) is defined as an arterial disease in which the blood is separated from the aortic wall by the intimal tear so that the aortic lumen presents a pathological state of true and false lumen. Relevant studies have shown that the incidence of aortic dissection (AD) is 1–3/10,000 per year [1, 2]. According to the Stanford classification system, Stanford type A aortic dissection (AAD) is the most dangerous type of dissection which is involving the ascending aorta. As we know, surgery is the most effective treatment for AAD. In recent years, 90% of AAD patients have been treated by surgery [3]. Although the mortality rate after AAD has decreased significantly, the incidence of postoperative complications is still high, especially nerves systemic complications.
Postoperative delirium (POD) is a common neurological complication after heart surgery with a high incidence of 23.5–54.9% [4, 5]. POD is characterized by changes in arousal level and cognitive dysfunction, which is an acute and fluctuating cognitive dysfunction after anesthesia and surgery. Several studies have shown that patients with delirium lasting 1 day have a 20% increased risk of long-term hospitalization, and ones with delirium lasting 6 months to 1 year have a 10% increased risk of death [6]. In addition, delirium is closely related to decreased mobility, prolonged intensive care unit (ICU) stay, increased costs, and adverse clinical outcomes [7‐9].
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In recent years, some studies investigated the incidence of POD in patients with AD after Sun’s procedure, which was 32.5–52.0% [10, 11]. Their studies found that surgery duration, cardiopulmonary bypass (CPB) time, and selective cerebral perfusion (SCP) time were risk factors for delirium after AD. Although the novel triple-branched stent graft implantation significantly shortens the operation time, CPB time and aortic cross-clamping time by reducing vascular anastomosis of the branches of the aortic arch, nervous system complications remain one of the commonest and worst ones [12, 13]. The incidence and risk factors of delirium after the novel triple-branched stent graft implantation have not been studied.
Therefore, we carried out an observational study to assess the incidence and risk factors of delirium after novel triple-branched stent graft implantation in patients with AAD and to provide a scientific basis for formulating measures to reduce delirium in patients with AAD surgery.
Methods
Patients
An observational study of AAD patients who underwent novel triple-branched stent graft implantation between January 2017 and July 2019 was followed up after surgery. Inclusion criteria: 1) aged 18–75 years old; 2) patients and their families informed consent and volunteered to participate in this study. Exclusion criteria: 1) patients with the previous history of mental illness, stroke, and traumatic brain injury, or clinical or radiologic evidence of cerebral malperfusion by computed tomographic angiography; 2) congenital deaf-mute; 3) postoperative ICU stay < 24 h; 4) patients receiving continuous deep sedation with propofol and remifentanil after surgery. All patients were anesthetized and operated on by the same anesthesia group and the same treatment group. The endpoint of this study was delirium or not within 5 days after surgery. According to the results of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), the subjects were divided into the delirium group and the non-delirium group. All participants or their families had informed consent and had the right to withdraw from this study at any time.
Operative technique
Intravenous and inhalational combined anesthesia was applied in all patients. Anaesthetic medications used included sevoflurane, midazolam, sufentanil, rocuronium, and dexmedetomidine, which was administered according to the patient’s weight. The nasopharyngeal temperature, the rectal temperature, and upper and lower limb blood pressure were monitored. The Regional Oximetry System (VISTA, Covidien) was used to measure regional cerebral oxygen saturation. The depth of anesthesia was measured by the Bispectral Index (BIS) Monitoring System (VISTA, Covidien). The myocardial protection was performed by perfusion multiple administrations of cold blood cardioplegia (4 °C) through the left and right coronary arteries. Surgery was performed using combined low-flow CPB and cardiocirculatory arrest under deep hypothermia. The right axillary artery was used if it’s unilateral selective cerebral perfusion, and the right axillary artery and the left common carotid artery were used if it’s bilateral. The following procedures can be found in our previous literature [13].
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Delirium assessment
From the first day after surgery lasted until the fifth day after surgery, screening for delirium was performed daily through two registered nurses who had 3 years’ work experience in the cardiac surgery ward. Nurses were trained for 1 week by the complete Chinese version of the CAM-ICU training manual, to ensure the consistency of evaluation. The assessment of delirium consists of two steps. Step 1 was to assess patient’s level of consciousness by using the Richmond Agitation-Sedation Scale (RASS). If patient’s RASS score was − 4 or − 5, the patient is unconscious or in a coma, the assessment cannot continue. If patient’s RASS score range was − 3 ~ + 4, we moved on to step 2. Step 2 was to assess patient’s content of consciousness by using the CAM-ICU scale. This scale can identify the following four characteristics: include 4 features: 1) acute onset of change or fluctuation in mental status; 2) attention disorder; 3) altered level of consciousness; and 4) disorganized thinking. Delirium can be diagnosed if patient satisfies features 1, 2, 3, or 1, 2, and 4 at the same time.
Data collection
This study collected thirty-five potential risk factors based on previous reports in the cardiovascular field [5, 14] (see Table 1 and Table 2). In this research, analgesics and sedatives included Morphine, Bucinnazine, Promethazine, Perphenazine, Chlorpromazine, Diazepam, etc. The non-manual worker in this study include teachers, government employees, doctors, editors, accountants, programmers, designers, and engineers. Manual worker mainly includes farmers, workers, and waiters (catering industry, sales industry). Ambiguous data needs to be checked again with the patients.
Table 1
Characteristics of delirium group and non-delirium group
Variables
Delirium (N = 106)
Non-delirium (N = 174)
P
Age, years, mean (SD)
57.15 (9.09)
49.47 (11.63)
< 0.001a
BMI (kg/m2), mean (SD)
25.64 (3.86)
24.38 (3.70)
0.007 a
Male, n (%)
74 (69.8)
134 (77.0)
0.181b
Smoking, n (%)
40 (37.7)
74 (42.5)
0.428b
Drinking, n (%)
25 (23.6)
46 (26.4)
0.595b
Married
104 (98.1)
172 (98.9)
0.614b
Coronary heart disease, n (%)
2 (1.9)
3 (1.7)
0.921b
Hypertension, n (%)
0.01b
No
21 (19.8)
49 (28.2)
Level 1
22 (20.8)
51 (29.3)
Level 2
34 (32.1)
28 (16.1)
Level 3
29 (27.4)
46 (26.4)
Education level, n (%)
0.582b
Primary and below
57 (53.8)
83 (47.7)
Middle school
32 (30.2)
62 (35.6)
High school and above
17 (16.0)
29 (16.7)
Nature of occupation, n (%)
0.001b
Manual worker
77 (72.6)
93 (53.4)
Non-manual worker
29 (27.4)
81 (46.6)
Medical payment method, n (%)
0.002b
At one’s own expense
41 (38.7)
38 (21.8)
Medical insurance
65 (61.3)
136 (78.2)
History of cardiac surgery, n (%)
6 (5.7)
5 (2.9)
0.253b
No
10 (94.3)
169 (97.1)
a Student’s t test. b χ2 test
BMI Body mass index
Table 2
Clinical data of delirium group and non-delirium group
Variables
Delirium (N = 106)
Non-delirium (N = 174)
P
Preoperative data
First blood sugar (mmol/l), mean (SD)
8.54 (4.57)
7.16 (1.82)
< 0.001a
White blood cell (×109/l), mean (SD)
11.27 (4.51)
11.63 (4.63)
0.518a
Neutrophil (× 109/l), mean (SD)
11.38 (7.47)
12.42 (7.31)
0.250a
Red blood cell (×109/l),
mean (SD)
4.29 (0.79)
4.42 (0.604)
0.144a
Hemoglobin (g/l), mean (SD)
129.68 (20.83)
134.14 (18.09)
0.060a
Anemia, n (%)
15 (14.2)
24 (13.8)
0.933b
Intraoperative data
State of consciousness, n (%)
0.781b
Quiet
43 (40.6)
78 (44.8)
Irritability
45 (42.5)
68 (39.1)
Coma
18 (17.0)
28 (16.1)
ASA class, n (%)
0.304b
Level III
20 (18.9)
40 (23.0)
Level IV and above
86 (81.1)
134 (77.0)
Blood loss (ml), mean (SD)
842.26 (343.15)
809.20 (365.68)
0.453a
Allogeneic blood transfusion (ml), mean (SD)
359.06 (280.19)
334.20 (275.17)
0.467a
Erythrocyte transfusion, (u)
mean (SD)
2.99 (2.88)
2.93 (2.71)
0.870a
Platelet transfusion, (u),
mean (SD)
2.39 (2.82)
1.97 (2.94)
0.246a
Surgery duration (min), median (IQR)
288.5 (250.8334.3)
285.0 (249.5333.0)
0.877c
CPB (min), median (IQR)
142.0 (125.8171.3)
140.0 (115.0,176.0)
0.375c
Aortic cross-clamping duration (min), median (IQR)
60.0 (45.8,84.0)
52.0 (40.0,77.5)
0.010c
Lowest temperature, (°C)
mean (SD)
23.22 (2.53)
23.37 (2.51)
0.629a
SCP (min), median (IQR)
12.0 (10.0,15.5)
12.0 (10.0,15.3)
0.168c
Postoperative data
APACHE-II, mean (SD)
16.17 (4.05)
12.40 (3.33)
< 0.001a
Analgesics and sedatives, n (%)
< 0.001b
0–2
30 (28.3)
101 (58.0)
3–4
63 (59.4)
63 (36.2)
> 4
13 (12.3)
10 (5.7)
Mechanical ventilation duration (hours), median (IQR)
63.5 (38.00,139.0)
40.32 (26.58,82.25)
< 0.001c
Hypoxemia, n (%)
41 (38.7)
27 (15.5)
< 0.001b
No
65 (61.3)
147 (84.5)
ICU stay, median (IQR)
7.0 (5.0,9.0)
5.0 (4.0,7.0)
< 0.001c
Hospitalization days,
median (IQR)
20.0 (15.0,26.0)
18.0 (14.0,23.0)
0.759c
a Student’s t test. b χ2 test. c Wilcoxon rank-sum test
ASA American Society of Anesthesiologists, SCP Selective cerebral perfusion, APACHE-II Acute physiology and chronic health evaluation II, ICU Intensive care unit
Patients were divided into the delirium group and the non-delirium group according to whether delirium occurred or not. Sociodemographic and clinical categorical variables of two groups were evaluated using number and percentage values (%). Normality distributed numerical variables were described with mean and standard deviation (SD); medium and quartile range (QR) was used when it did no satisfied normal distribution. For normally distributed data, two groups were compared using Student’s t-test. For the comparison of non-normally distributed data, the Wilcoxon test was used. The Cox proportional hazard regression model: the number of days patients stay in ICU was taken as the time index, and the time of patients stay in ICU on the first day was taken as the starting point, calculated in units of days, and the truncated value was processed until patients developed delirium. Univariate and multivariate Cox regression analysis was performed with the occurrence of delirium as the dependent variable (event), and the hazard ratio (HR) value and 95% confidence intervals (CI) were obtained. In this study, Social science statistical software package (version 17.0) was used for all data’s statistical analysis. P < .05 was considered statistically significant.
Results
From January 2017 to July 2019, 301 cases were admitted to the study, and the incidence of POD was 37.86% (The patient flow chart is shown in Fig. 1). The highest incidence of postoperative delirium was the second day after surgery (Fig. 2).
Fig. 1
Patients’ flow chart
Fig. 2
Composition ratio of POD in different periods of patients
×
×
Table 1 shows the general data of two groups. There were significant differences in age, body mass index (BMI), hypertension, nature of occupational, medical payment, between the delirium group and the non-delirium group (P < .05).
As shown in Table 2. There were significant differences in blood sugar at the first admission, aortic cross-clamping time, Acute Physiology and Chronic Health Evaluation II (APACHE-II), analgesics and sedatives, mechanical ventilation duration, ICU stay, and hypoxemia between two groups (P < .05). There were no significant differences in other variables between the two groups (P > .05).
As shown in Table 3, age, BMI, hypertension grade, medical payment method, first blood sugar at admission, and mechanical ventilation duration were not correlated with the risk of POD (P > 0.05). Compared with the manual workers, non-manual workers can reduce the risk of POD (HR = .494; 95%CI: 0.308–0.792; P = .003). The HR of APACHE-II score ≤ 15–20 was 1.943 (P = .004), and APACHE-II score > 20 was 5.064 (P < .001). The use of more than two types of analgesics and sedatives increases the risk of POD (HR = 2.445; P < .05).
Table 3
Univariate Cox regression analysis results
Variables
β
SE
Wald
HR
95%CI
P
Age
0.006
0.011
0.308
1.006
0.985–1.027
0.579
BMI
0.002
0.027
0.952
1.002
0.949–1.057
0.952
Hypertension
No
Reference
Level 1
0.242
0.322
0.566
1.274
0.678–2.393
0.452
Level 2
0.619
0.297
3.342
1.857
1.037–3.325
0.068
Level 3
0.553
0.303
3.343
1.739
0.961–3.147
0.068
Nature of occupation
Manual worker
Reference
Non-manual worker
−0.706
0.241
8.582
0.494
0.308–0.792
0.003
Medical payment method
0.159
0.202
0.618
1.172
0.789–1.740
0.432
First blood sugar
0.009
0.021
0.168
1.009
0.967–1.052
0.682
Mechanical ventilation duration
0.001
0.001
0.269
1.001
0.998–1.003
0.604
APACHE-II score
< 15
Reference
≤15–20
0.664
0.233
8.126
1.943
1.231–3.069
0.004
> 20
1.622
0.303
28.740
5.064
2.779–9.165
< 0.001
ICU stay
−0.044
0.024
3.335
0.956
0.912–1.003
0.068
Hypoxemia
0.894
0.213
17.545
2.445
1.609–3.715
< 0.001
Analgesics and sedatives
0–2
Reference
3–4
0.896
0.266
11.381
2.450
1.456–4.123
0.001
> 4
1.760
0.387
20.650
5.811
2.720–12.413
< 0.001
Aortic cross-clamping duration
0.001
0.002
0.315
1.001
0.997–1.006
0.575
SE Standard error, HR Hazard ratio, CI Confidence intervals
BMI Body mass index, APACHE-II Acute physiology and chronic health evaluation II
As shown in Table 4, after adjusting for age, BMI, aortic cross-clamping time, and mechanical ventilation duration, a multivariable Cox regression analysis model showed that the risk of POD in non-manual workers was lower than that in manual workers (adjusted hazard ratio [AHR] = .554; P = .021). The patient APACHE-II score ≤ 15–20 was not associated with the risk of POD (AHR = 1.272; P = .362), and APACHE-II score > 20 (AHR = 3.359; P < .001) increased the risk of POD. The AHR of the types of analgesics or sedatives 3–4 was 2.122 (P = .016), and the AHR of the types of analgesics or sedatives > 4 was 3.383 (P = .005). Compared with that without hypoxemia, patients with hypoxemia are at increased risk of delirium (AHR = 1.846; P = .017).
Table 4
Multivariable Cox regression analysis results
Variables
β
SE
Wald
AHR
95%CI
P
Nature of occupation
Manual worker
Reference
Non-manual worker
−0.591
0.257
5.313
0.554
0.335–0.915
0.021
APACHE-II score
< 15
Reference
15–20
0.241
0.265
0.829
1.272
0.758–2.137
0.362
> 20
1.212
0.345
12.316
3.359
1.707–6.609
< 0.001
Hypoxemia
0.613
0.256
5.745
1.846
1.118–3.048
0.017
Analgesics and sedatives
≤2
Reference
3–4
0.753
0.311
5.855
2.122
1.154–3.904
0.016
> 4
1.219
0.437
7.777
3.383
1.436–7.967
0.005
SE Standard error, AHR Adjusted hazard ratio, CI Confidence intervals
Age, body mass index and mechanical ventilation duration have been adjusted
APACHE-II Acute physiology and chronic health evaluation II
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Discussion
This study aimed to analyze the incidence and risk factors of POD in patients with AAD who underwent novel triple-branched stent graft implantation. A total of 280 cases of AAD patients were enrolled in this research. There were 106 patients were diagnosed with delirium among them, and the incidence of delirium was 37.86%. In this research, we found that APACHE-II score > 20, types of analgesics and sedatives, and hypoxemia were independent risk factors for POD, and the non-manual worker was a protective factor for POD. At the same time, we did not find that aortic cross-clamping time and CPB time affected POD after AAD.
In the past 10 years, many studies have investigated the relationship between work and cognitive complexity. Marengoni et al. [15] and Smyth et al. [16] have shown that people who engage in physical work are more likely to have a risk of cognitive decline and dementia. Grzywacz et al. [17] found that work complexity was positively correlated with the cognitive function of episodic memory, executive function, and self-evaluation ability. The results of this research revealed that the non-manual workers in the delirium group after AAD were significantly less than those in the non-delirium group, and the results of multivariate Cox regression analysis showed that compared with the manual workers, the risk of delirium after the non-manual workers (AHR = .554; P = .015) was reduced. A variety of theories suggest that the nature of work may affect the cognitive function of the brain, among which the recognized cognitive reserve hypothesis indicates that the cognitive stimulation can increase the capacity of neurons, thus promoting the development of cognitive reserve [18]. For those who have been engaged in non-manual work for a long time, environmental stimulation may increase the level of neurotrophins available in brain tissue, protect or repair existing neurons, promote the development of nerves, and the incidence of neurological diseases will be relatively low [18].
Sedative and analgesic drugs work extensively on the central nervous system, including the nerve cell membrane, neurotransmitters, cerebral metabolism, and so on [19]. The main function of the central muscarine cholinergic system is to maintain cognitive function, while a variety of sedative and analgesic drugs act on the central alkaloid receptor [20]. Our study shows that the more analgesic and sedative drugs, the higher the risk of postoperative delirium. Related researches have indicated that the use of analgesics and sedatives is an independent risk factor for delirium after heart surgery. Pandharipande et al. [21] discovered that there was a positive correlation between benzodiazepines and the occurrence of delirium, and the incidence of delirium increased by 20% for every 1 mg increase of benzodiazepines. At the same time, the latest DAS-2015 recommendation [22] suggested avoiding benzodiazepines as far as possible, because benzodiazepines are easy to induce deep sedation, induced amnesia, and other side effects. Besides, commonly used opioid analgesics such as morphine can antagonize M1, M2, and M3 receptors at clinical doses [20]. In summary, the types of sedative and analgesic drugs should be reasonably selected according to the patient’s condition in clinical work.
According to reports, the incidence of hypoxemia after AD is 20.4–49.5% [23]. Kazmierski et al. [23] indicated that postoperative hypoxemia (PaO2 < 60 mmHg) was an independent risk factor for delirium after cardiac surgery. In this research, we found that the incidence of hypoxemia during and after AD surgery was 24.29%. Multivariate Cox regression analysis showed that hypoxemia increased the risk of delirium (AHR, 1.846; P < .001). AAD patients have accumulated blood and fluid in their chest cavity, and most of them need to undergo surgery under hypothermic circulatory arrest. Therefore, patients are prone to acute lung injury after surgery. Acute lung injury can lead to increased permeability of pulmonary vascular bed, pulmonary interstitial and alveolar edema, alveolar collapse, severe imbalance of ventilation/blood flow ratio, and eventually severe hypoxemia [24]. At the same time, hypoxemia can inhibit the synthesis of acetyl coenzyme A, acetylcholine, and glutamic acid in the citric acid cycle, resulting in decreased brain activity of cholinergic, which ultimately leads to an increased risk of delirium [13]. In addition, studies have shown that hypoxemia and mechanical ventilation time are interrelated. The more severe hypoxemia is, the longer mechanical ventilation time will be, and the risk of POD is increased.
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The longer the duration of CPB, the greater the possibility of brain injury [25]. Surface contact between blood and CPB instrument can induce SIRS, which may be involved in the occurrence of delirium after operation through C-reactive protein, IL-1, and IL-10. Liu et al. [11] found that surgery duration (OR = 3.21; P = .002) was risk factors for POD. They speculated that prolonged surgery can lead to wider use of anesthetic drugs, increased blood transfusion, or the disturbance of electrolytes or acid-base balance. CPB time (OR = 1.360; P = .028) was also associated with a higher risk of POD. Prolonged CPB increases the release of inflammatory mediators, which can cause cerebral vasoconstriction, thereby inhibiting cerebral blood flow and changing brain function. However, none of our studies found that operative time and CPB time had an effect on POD. Shi et al. [10] and Liu et al. [11] found that the surgical methods were all Sun’s surgery, and this study was a three-branch stent surgery. By comparison, the operation time of delirium group was 288.5 (250.8, 334.3) and that of the non-delirium group was 285.0 (249.5, 333.0), which was 200 min shorter than those of Shi et al. [10] and Liu et al. [11] and the CPB time was 40–100 min shorter.
Our study was a single-center observational study, and larger sample size and multicenter trials are needed to determine risk factors for delirium after AAD surgery. We only evaluated delirium in ICU patients without long-term follow-up. The effect of dexmedetomidine on delirium was not discussed in this study and will be further explored in future studies.
Conclusions
Our results showed that APACHE-II score > 20 and hypoxemia increased the risk of POD, and the more types of sedatives and analgesics, the higher the risk of delirium. And the risk of POD is reduced in non-manual workers. In addition, we did not find that aortic occlusion time and extracorporeal circulation time had an effect on delirium after AAD surgery.
Acknowledgements
The authors thanks the Heart Medicine Research Center of Fujian Medical University Union Hospital.
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Ethics approval and consent to participate
The experimental protocol was established, according to the ethical guidelines of the Helsinki Declaration and was approved by the Human Ethics Committee of the ethics committee of Fujian Medical University Union Hospital (Ethical Review No. 2016GZR047). Written informed consent was obtained from individual or guardian participants.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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Das Karpaltunnelsyndrom ist die häufigste Kompressionsneuropathie peripherer Nerven. Obwohl die Anamnese mit dem nächtlichen Einschlafen der Hand (Brachialgia parästhetica nocturna) sehr typisch ist, ist eine klinisch-neurologische Untersuchung und Elektroneurografie in manchen Fällen auch eine Neurosonografie erforderlich. Im Anfangsstadium sind konservative Maßnahmen (Handgelenksschiene, Ergotherapie) empfehlenswert. Bei nicht Ansprechen der konservativen Therapie oder Auftreten von neurologischen Ausfällen ist eine Dekompression des N. medianus am Karpaltunnel indiziert.
Das Webinar beschäftigt sich mit Fragen und Antworten zu Diagnostik und Klassifikation sowie Möglichkeiten des Ausschlusses von Zusatzverletzungen. Die Referenten erläutern, welche Frakturen konservativ behandelt werden können und wie. Das Webinar beantwortet die Frage nach aktuellen operativen Therapiekonzepten: Welcher Zugang, welches Osteosynthesematerial? Auf was muss bei der Nachbehandlung der distalen Radiusfraktur geachtet werden?
Inhalte des Webinars zur S1-Leitlinie „Empfehlungen zur Therapie der akuten Appendizitis bei Erwachsenen“ sind die Darstellung des Projektes und des Erstellungswegs zur S1-Leitlinie, die Erläuterung der klinischen Relevanz der Klassifikation EAES 2015, die wissenschaftliche Begründung der wichtigsten Empfehlungen und die Darstellung stadiengerechter Therapieoptionen.
