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  • Open Access
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Acute spontaneous intracerebral hemorrhage and traumatic brain injury are the most common causes of critical illness in the ICU and have high early mortality

  • 1,
  • 2Email author,
  • 3,
  • 1,
  • 1 and
  • 1
Contributed equally
BMC Neurology201818:127

https://doi.org/10.1186/s12883-018-1127-z

  • Received: 28 November 2017
  • Accepted: 15 August 2018
  • Published:
Open Peer Review reports

Abstract

Background

Critical care covers multiple disciplines. However, the causes of critical illness in the ICU, particularly the most common causes, remain unclear. We aimed to investigate the incidence and the most common causes of critical illness and the corresponding early mortality rates in ICU patients.

Methods

A retrospective cohort study was performed to examine critically ill patients (aged over 15 years) in the general ICU in Shuyang County in northern China (1/2014–12/2015). The incidences and causes of critical illnesses and their corresponding early mortality rates in the ICU were determined by an expert panel.

Results

During the 2-year study period, 1,211,138 person-years (PY) and 1645 critically ill patients (mean age, 61.8 years) were documented. The median Glasgow Coma Scale (GCS) score was 6 (range, 3–15). The mean acute physiology and chronic health evaluation II (APACHE II) score was 21.2 ± 6.8. The median length of the ICU stay was 4 days (range, 1–29 days). The most common causes of critical illness in the ICU were spontaneous intracerebral hemorrhage (SICH) (26%, 17.6/100,000 PY) and traumatic brain injury (TBI) (16.8%, 11.4/100,000 PY). During the first 7 days in the ICU, SICH was the most common cause of death (42.2%, 7.4/10,000 PY), followed by TBI (36.6%, 4.2/100,000 PY). Based on a logistic analysis, older patients had a significantly higher risk of death from TBI (risk ratio [RR], 1.7; 95% CI, 1.034–2.635), heart failure/cardiovascular crisis (RR, 0.2; 95% CI, 0.083–0.484), cerebral infarction (RR, 0.15; 95% CI, 0.050–0.486), or respiratory failure (RR, 0.35; 95% CI, 0.185–0.784) than younger patients. However, the risk of death from SICH in the two groups was similar.

Conclusions

The most common causes of critical illness in the ICU were SICH and TBI, and both critical illnesses showed a higher risk of death during the first 7 days in the ICU.

Keywords

  • Critical illness
  • Causes
  • Incidence
  • Mortality
  • Epidemiology
  • Intracerebral hemorrhage
  • Head injury

Background

Twenty years ago, patients with organ failure accounted for most intensive care unit (ICU) cases [1], and a high mortality rate was observed in patients who refused ICU care [2, 3]. Today, with improvements in living standards and the aging of the general population, management of critically ill patients using intensive nursing care is more common [46]. Multiple epidemiological studies on prehospital emergency medical services have been conducted [7, 8]; however, the causes of critical illnesses in the ICU, especially the most common causes, remain unclear. Moreover, it is important to determine the most common illnesses that require management in an ICU and to understand the early mortality rates associated with these illnesses during the ICU stay. The aim of this study was to investigate the incidences and causes of critical illnesses and the corresponding early mortality rates among patients admitted to the ICU from the general population of Shuyang County in northern China.

Methods

Study design and participants

We retrospectively analyzed data that were collected from January 2014 to December 2015 for critically ill patients who were admitted to a general ICU (17 beds) in a tertiary teaching hospital—the unique three-general hospital. The hospital has a referral center (with 10 ambulances) and was responsible for all critical or emergency work within Shuyang County in northern China (38 county townships and a county town). Thus, 24 h a day, almost all critically ill patients were sent directly to the ICU. Therefore, this hospital was a strong source of critically ill patients, which ensured sufficient data availability. The study sample was compiled from the 2014 and 2015 data registries. During the study period, 1,211,138 people aged 15 years or older, including 697,615 women and 115,355 people aged 65 years or older, lived in the county [9]. The study was approved by the Ethical Committee on Clinical Research of the Shuyang People’s Hospital in China. Because the study involved care for critical illness, written informed consent was obtained from the nearest relative or a person who had been designated to provide consent by the patient.

Procedures

To date, there are no compulsory diagnostic criteria for critical illness. Moreover, the codes for critical illnesses per the International Classification of Diseases, 10th Revision (ICD-10), are not well established. The relevant code changes according to the condition of the critically ill patient, and these conditions include coma (R40.2), cardiac arrest (I46.9), heart failure (I50), shock (R57.9), respiratory failure (J96), cardiovascular crisis and other critical events. We also identified those patients who had acute spontaneous intracerebral hemorrhage (SICH) by the code I61.9, but in this study, SICH was only limited to those with acutely non-traumatic coma. Similarly, traumatic brain injury (TBI) indicated a severe TBI (including traumatic subdural and epidural hematoma, or with intracerebral hematoma or subarachnoid hemorrhage) with sudden traumatic coma. Coma refers to a state of unconsciousness from which the patient cannot be aroused and is typified by the absence of language and motor function with a Glasgow Coma Scale (GCS) score of 3 to 8 (on a scale of 3 to 15, with lower scores indicating a lower level of consciousness). Cardiovascular crisis includes cardiogenic shock, cardiac arrest, sudden chest pain, and hypertensive crisis. Here, our retrospective study of ICU patients used the following inclusion criteria: (1) the patient (age > 15 years) exhibited an emergency- onset condition with unstable life signs or acute organ dysfunction and required transfer by emergency services to the ICU, and (2) the patient was hospitalized due to the onset a life-threatening organ dysfunction and required monitoring in the ICU. We used the following exclusion criteria: (1) age < 15 years, (2) an additional visit to the ICU within 2 weeks, and (3) residence in the county for < 6 months. We collected the critically ill patient data from the prospective registration of their primary diagnosis in the ICU patient out-of-hospital registry. Registration was the responsibility of the physician in charge of the ICU. The data registry annual volumes included sex, age, address, the date of admission, the sole primary diagnosis, the ICU stay length, the outcome of the main processing, and a contact telephone number for the ICU patient. All patients with craniocerebral disease were verified using their electronic medical records (an emergency cranial CT scan upon admission) and were assigned an initial GCS score and an acute physiology and chronic health evaluation II (APACHE II) score.

The time window of the ICU stay for most patients was between 3 and 7 days. Early mortality was assessed during the first 7 days of the critical illness. The World Health Organization (WHO) defines a person who is over 65 years old as geriatric. Therefore, patients were divided into a geriatric group and a non-geriatric group to compare the risks of critical illness between age groups.

Death events in the ICU and their causes were identified through medical record notes and from follow-up information. Follow-up information was from our physician who was conducted inquiries by phone to the patient’s closest living relative on day 7 of discharge from the ICU. Intensive care and neurology experts conducted a retrospective statistical analysis of the data of the study population during the 2-year period.

Statistical analysis

All numeric variables are expressed as the mean ± SD or median (interquartile range [IQR]) and N (%). The overall incidence and causes were analyzed. The incidence rate per year in the population of critically ill patients was documented. Incidence rates for risk during 1 year were also calculated by dividing the baseline population by the number of annual cases. We used a logistic regression analysis to determine the risk ratio (RR) for a death event comparing the geriatric patients with the non-geriatric patients. All p-values were 2-sided, and significance was set at p < 0.05. Data were analyzed using SPSS version 17.0 (SPSS Inc., Chicago, IL, USA).

Results

Overall analysis

During the 2-year study period, 1791 critically ill cases were registered in the ICU following hospital discharge. We excluded cases that did not meet the inclusion criteria, including patients aged < 15 years (n = 126), patients who had another visitation to the ICU within 2 weeks (n = 21), and patients who had lived in the area for < 6 months (n = 4). Ultimately, 1645 patients who met the criteria were designated as critically ill patients and were enrolled into the study. The survey included 1015 men (61.7%) and 630 women (38.3%), which resulted in a male-to-female ratio of 1.7:1. The ages of the patients ranged from 15 to 98 years, and the average age was 61.8 ± 0.49 years. The median initial GCS score was 6 (range, 3–15). The mean initial APACHE II score (mean ± SD) was 21.2 ± 6.8. The median length of the ICU stay was 4 days (up to 29 days).

Incidence of critical illness

During the 2-year study period, 1645 patients with an acute critical illness were documented among the total county population. The total incidence of critical illness was 67.9/100,000 person-years (PY) (Table 1). The most common acute critical illness types were strokes and neurological critical illnesses (632/2 years, 38.4%, 26.1/100,000 PY, including 577 cases of stroke/2 years, 35.1%, 23.8/100,000 PY), followed by trauma and traumatic brain injury (TBI) (397/2 years, 24.1%, 16.4/100,000 PY), cardiovascular critical diseases (140/2 years, 5.8/100,000 PY), and respiratory critical diseases (96/2 years, 4.0/100,000 PY).
Table 1

Incidence and ranking of emergency critical events

Critically ill events ranking

Number of cases in 2 years

Percentage (%)

Per100000 population members per year

Stroke and neurological critical ill

632

38.4

26.1

TBI and Trauma

397

24.1

16.4

Cardiovascular Critical ill

140

8.5

5.8

Respiratory Critical ill

96

5.8

4.0

After surgery or intervention

89

5.4

3.7

Gastrointestinal critical ill

74

4.5

3.1

Pesticides / drug poisoning

72

4.4

3.0

Sepsis / septic shock

48

2.9

2.0

Any cancer

32

1.9

1.3

Others

65

4.0

2.7

All

1645

100

67.9

TBI traumatic brain injury

The incidence of acute SICH tended to increase with increasing age, with the incidence peaking between 55 and 64 years. The incidence of TBI tended to decrease with decreasing age, with the incidence peaking between 65 and 74 years. The types and outcome of SICH and TBI during the first 7 days in the ICU are shown in Table 2.
Table 2

The types and outcome of SICH and TBI observed during the first 7 days in the ICU

Types

Number of cases in 2 years

Death (%)

SICH

427

180(42.2)

 Striato-capsula,n(%)

178(41.7)

75(42.1)

 Lobar,n(%)

81(10.0)

30(37.0)

 Thalamus,n(%)

72(16.7)

23(31.9)

 Brainstem, n(%)

61(14..3)

40(65.6)

 Cerebellar, n(%)

26(6.1)

10(38.5)

 Others (%),n(%)

9(2.1)

2(22.0)

TBI

276

101(36.6)

 Subdural hematoma, n(%)

181(65.6)

89(49.2)

 Intracerebral hemorrhage, n(%)

58(21.o)

9(15.5)

 Epideural hematoma, n(%)

37(13.4)

3(8.1)

 With subarachnoid hemorrhage, n(%)

201((72.8))

N/A

 With contusions, n(%)

189(68.5)

N/A

 With fractures, n(%)

182(65.9)

N/A

ICU intensive care unit, SICH spontaneous intracerebral hemorrhage, TBI traumatic brain injury

Causes of critical illness

Of the 1645 cases of critical illness, the most common cause of critical illness was SICH with coma (26%, 17.6/100,000 PY), followed by acute TBI with coma (16.8%, 11.4/100,000 PY), heart failure/cardiovascular crisis (8.5%, 5.8/100,000 PY), trauma (7.4%, 5.0/100,000 PY), cerebral infarction with coma (7.3%, 5.0/100,000 PY), respiratory failure (5.8%, 4.0/100,000 PY), post-surgery complication or intervention (5.4%, 3.7/100,000 PY), pesticide/drug poisoning (4.4%, 3.0/100,000 PY), metabolic dysfunction (3.7%, 2.5/100,000 PY), and gastrointestinal bleeding with shock (3.4%, 2.3/100,000 PY). Other causes of critical illness were less frequent (Fig. 1).
Fig. 1
Fig. 1

The causes of critical illness in a northern China ICU. *Metabolic dysfunctions: including hypoglycemia, diabetic ketoacidosis, hyperglycemic nonketotic hyperosmolar states, kedney failure or uremia, hepatic encephalopathy, heat stroke, anoxia, and electrolyte dysfunction, etc.

Incidence of death from critical illness

Four hundred eighty-nine deaths were reported in the ICU within the first 7 days of admission, with a rate of 20.2/100,000 PY. Males were at higher risk for this outcome than females (313/1015, 13.0/100,000 PY vs. 176/630, 7.4/100,000 PY, respectively; p < 0.005), and older patients (> 65 y old) were at higher risk than younger patents (15 y to 65 y old) (243/701, 10/100,000 PY vs. 246/944, 1/100,000 PY, respectively; p < 0.0001). (Table 3).
Table 3

Incidence of death due to critical illness during the first 7 days in the ICU

Charateristics

Number of cases in ICU/2 years

Death during the first 7 days in the ICU/2 years

Percentage (%)

Mortality during the first 7 days/per100000 population members per year

Overall

1645

489

29.7

20.2

Sex

 Male

1015

313

30.8§

12.9

 Female

630

176

27.9§

7.3

Age

  > 65 years

701

243

34.7

10.0

 15 to 65 years

994

246

24.7

1.0

Types of critical illness

 SICH

427

180

42.2

7.4

 TBI

276

101

36.6

4.2

Heart failure/cardiovescular

140

61

43.6

2.5

Respiratory failure crisis

96

28

29.2

1.2

After surgery or intervention

89

10

11.2

0.4

GI bleedingwith shock

74

22

29.7

0.9

Cerebral infarction

120

21

17.5

0.9

Sepsis / septic shock

48

21

43.8

0.9

Pesticides/ drug poisoning

73

11

15.1

0.5

Coma of unknown origin

35

9

25.7

0.4

Trauma

121

8

6.6

0.3

Any cancer

32

7

21.9

0.3

SAH

30

7

23.3

0.3

Metabolic dysfunction

61

2

3.3

0.1

Status epilepticus

16

1

6.2

0.04

Other

7

0

0

0.0

§p < 0.005; p < 0.0001

ICU intensive care unit, SICH spontaneous intracerebral hemorrhage, TBI traumatic brain injury

Causes of death from critical illness in the ICU

The causes of death from critical illness within the first 7 days of admission to the ICU were determined. The most common cause of death for ICU patients was SICH (180 patients, 7.4/100,000 PY), followed by acute TBI (4.2/100,000 PY), heart failure/cardiovascular crisis (2.5/100,000 PY), respiratory failure (1.2/100,000 PY), cerebral infarction (0.9/100,000 PY), gastrointestinal bleeding (0.9/100,000 PY), sepsis/septic shock (0.9/100,000 PY), coma of unknown origin (0.4/100,000 PY), pesticide poisoning (0.5/100,000 PY), other traumas (0.3/100,000 PY), cancer (0.3/100,000 PY), SAH (0.3/100,000 PY), metabolic dysfunction (0.1/100,000 PY), and status epilepticus (0.04/100,000 PY) (Table 3).

Risk of death within 7 days of admission for the geriatric group vs. the non-geriatric group

Using a logistic regression analysis of the same study population, we compared the risk of death within 7 days of admission between the geriatric group and the non-geriatric group (Table 4). The risks of death from TBI (RR, 1.7; 95% CI, 1.034–2.635; p < 0.05), cerebral infarction (RR, 0.15; 95% CI, 0.050–0.486; p < 0.0005), heart failure/cardiovascular crisis (RR, 0.2; 95% CI, 0.083–0.484; p < 0.0005), and respiratory failure (RR, 0.35; 95% CI, 0.185–0.784; p < 0.005) were higher in the geriatric group than in the non-geriatric group. The risks of death from SICH, cardiac arrest with resuscitation, gastrointestinal bleeding, sepsis/septic shock, pesticide poisoning, and coma of unknown origin were not significantly different between the two age groups.
Table 4

Logistic regression analysis of the risk of death comparing the geriatric group and non-geriatric group during the first 7 days in the ICU

Critical illness

RR

95%CI

p Value

TBI

1.7

1.034–2.635

0.034

Heart failure/cardiovascular crisis

0.2

0.082–0.483

0.000

Cerebral infarction

0.15

0.049–0.460

0.001

Respiratory failure

0.35

0.159–0.790

0.011

ICU intensive care unit, RR risk ratio, CI confidence intervals, TBI traumatic brain injury

Discussion

In previous epidemiological surveys of prehospital emergency care, altered mental status [7] and trauma [8] have been reported to have the highest incidence rates. However, this study found that the incidences of these ailments among critically ill patients in the ICU were different from those observed in previous prehospital emergency care studies. We found that stroke (35.1%, 23.8/100,000 PY) had the highest incidence rate, followed by trauma and TBI (24.1%,16.4/100,000 PY). The latter incidence may be due to the number of mild condition patients with prehospital trauma and TBI that may have been managed outside the ICU. This has been confirmed by a recent study that reported that only 20% of TBI cases account for admission to the ICU [10]. Conversely, epidemiological studies have confirmed that the incidence [11] and mortality rate for stroke are very high in China [12]. Therefore, it is likely that the care of patients with stroke has become a primary objective of ICU management.

The incidence of SICH varies in countries around the world [13], but recent studies have confirmed that the SICH incidence rate is highest in Asians (40.8–51.8/100,000 PY) [13, 14]. According to our study, SICH is a main cause of critical illness among patients admitted to the ICU, which suggests that more than 1/3 of patients with SICH need ICU care. Moreover, the fatality rate for patients with SICH within the first 7 days of admission was very high (42.2%) and similar to the fatality rate after 1 month (43–52%) that has been reported by other studies [15, 16].

TBI is the primary cause of injury-related death and disability [17], although its exact incidence is unclear. Our current study showed that TBI (16.8%, 11.4/100,000 PY) was the second most common cause of ICU admission. TBI has a mortality rate of approximately 40.0% [18] and a disability rate of 57.4% [19]. Moreover, our data showed that the fatality rate within the first 7 days of admission was also high in cases of TBI (36.6%). However, the risks of death from TBI, heart failure/myocardial infarction, severe cerebral infarction, and respiratory failure were significantly higher in the geriatric group than in the non-geriatric group. This finding indicates that older age is an important risk factor for death from most critical illnesses in the general ICU, which is consistent with a previous study [20] and may be related to that the older patients is more likely to develop an acutely fatal multiple organ failure [21]. On the contrary, the risk of death from SICH in the two groups was similar, and the SICH incidence results suggested a trend toward an increase in the younger population. This has been confirmed by one recent study [22].

Prior studies have shown that sepsis and septic shock account for 10% of ICU cases [23], whereas this study identified only 48 such cases (2.9%). Because most sepsis or septic shock diagnoses are secondary to another disease, our result may be related to our study criteria, which examined only the first diagnosis (primary disease). These patients had been transferred to specialist wards or information on sepsis/septic shock had not been included in the diagnosis.

Surprisingly, the combined incidence of SICH and TBI was almost equal to the sum of the general ICU admissions for other critical patients. This strongly suggests that addressing these two critical diseases should be a public health priority and is deserving of further attention.

Although this study was conducted in one ICU, this ICU was the county’s only ICU with a referral center. Therefore, we believe that our data are informative because the results of this study are more likely to represent the true epidemic spectrum of critical illness. However, certain limitations should be acknowledged. First, although this was a prospective registration, a small number of critically ill patients may be underrepresented due to a lack of standardized criteria for defining critical illness in this population. Second, because our registration only selected a sole primary diagnosis in the ICU, some patients with sequential liver or renal failure were not documented. This may have been the cause of the low frequencies of liver and renal failures that we observed. Additionally, the causes of coma were difficult to identify because numerous comatose patients had been intubated and could not consent to brain magnetic resonance examination. However, patients with unexplained comas were rare, so this was unlikely to produce a bias in the population of critically ill patients with neurological conditions.

In conclusion, the rate of critical illness was high in Shuyang County in northern China. The most common illnesses that required care in the ICU were SICH and TBI, and both of these critical illnesses carried a higher risk of death than other illnesses. This strongly suggests that addressing these two conditions should be a public health priority and is deserving of further attention.

Notes

Abbreviations

APACHE II: 

Acute physiology and chronic health evaluation II

GCS: 

Glasgow coma scale

ICU: 

Intensive care unit

SICH: 

Spontaneous intracerebral hemorrhage

TBI: 

Traumatic brain injury

Declarations

Funding

This work is supported by a grant from the Medical Research Council, affiliated Shuyang People’s Hospital, Xuzhou Medical University (Clinical Key Specialty Construction Project of Jiangsu Provence,20160017).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Authors’ contributions

ZYT and TDM were responsible for the study concept and design. ZYT, TDM, WSD, YS, XBW, and YCX were responsible for data acquisition and analysis. ZYT, TDM, WSD, YS, and YCX. were responsible for drafting the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The Ethical Committee on Clinical Research of the Shuyang People’s Hospital, China, approved the study. The study was in full compliance with the Helsinki declaration, and written informed consent was obtained from the patient’s nearest relative or a person who had been designated to give consent on admission of the patient.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

(1)
Department of Surgery, Affiliated Shuyang Hospital, Xuzhou Medical University, Xuzhou, Jiangsu, China
(2)
Department of Neurology, Affiliated Shuyang Hospital, Xuzhou Medical University, Xuzhou, Jiangsu, China
(3)
Department of Intensive Care Medicine, Affiliated Shuyang Hospital, Xuzhou Medical University, Xuzhou, Jiangsu, China

References

  1. Bral AL, Cerra FB. Multiple organ failure syndrome in 1990, systemic inflammatory response and organ dysfunction. JAMA. 1994;271:226–33.View ArticleGoogle Scholar
  2. Joynt GM, Gomersall CD, Tan P, Lee A, Cheng CA, Wong EL. Prospective evaluation of patients refused admission to an intensive care unit: triage, futility and outcome. Intensive Care Med. 2001;27(9):1459–65. pmid:11685338. https://doi.org/10.1007/s001340101041.View ArticlePubMedGoogle Scholar
  3. Sinuff T, Kahnamoui K, Cook DJ, et al. Rationing critical care beds: a systematic review. Crit Care Med. 2004;32(7):1588–97. pmid:15241106. https://doi.org/10.1097/01.ccm.0000130175.38521.9f.View ArticlePubMedGoogle Scholar
  4. Adhikari NK, Fowler RA, Bhagwanjee S, et al. Critical care and the global burden of critical illness in adults. Lancet. 2010;376(9749):1339–46. https://doi.org/10.1016/S0140-6736(10)60446-1.View ArticlePubMedGoogle Scholar
  5. Cerro G, Checkley W. Global analysis of critical care burden. Lancet Respir Med. 2014;2(5):343–4. https://doi.org/10.1016/S2213-2600(14)70042-6.
  6. Gomes B, Higginson IJ. Where people die (1974--2030): past trends, future projections and implications for care. Palliat Med. 2008;22(1):33–41. https://doi.org/10.1177/0269216307084606.View ArticlePubMedGoogle Scholar
  7. Rosamond WD, Evenson KR, Schroeder EB, et al. Calling emergency medical services for acute stroke: a study of 9–1-1 tapes[J]. Prehospital emergency care. 2005;9(1):19–23. PMID: 16036823[PubMed - indexed for MEDLINE]View ArticlePubMedGoogle Scholar
  8. Román MI, de Miguel AG, Garrido PC, et al. Epidemiologic intervention framework of a prehospital emergency medical service. Prehosp Emerg Care. 2005;9(3):344–54.View ArticlePubMedGoogle Scholar
  9. Statistical Yearbook of Jiangsu Province in 2013. Jiangsu: Population Statistics office press; 2013. p. 1–56.Google Scholar
  10. Hefny AF, Idris K, Eid HO, et al. Factors affecting mortality of critical care trauma patients. Afr Health Sci. 2013;13(3):731–5. https://doi.org/10.4314/ahs.v13i3.30.PubMedPubMed CentralView ArticleGoogle Scholar
  11. Sun YH, Zhang GH, Hu R, Wang C. Epidemiological survey of cerebrovascular disease among population in Inner Mongolia autonomous region. Chin J Epidemiol. 2015;36:925–8.Google Scholar
  12. Chen Z. The third cause of death among netionwide reprospective sample survey report. Beijing: Chinese Peking Union Medical College press; 2008. p. 8–14.Google Scholar
  13. van Asch CJ, Luitse MJ, Rinkel GJ, van der Tweel I, Algra A, Klijn CJ. Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis. The Lancet Neurology. 2010;9(2):167–76.View ArticlePubMedGoogle Scholar
  14. Chan CL, Ting HW, Huang HT. The incidence, hospital expenditure, and, 30 day and 1 year mortality rates of spontaneous intracerebral hemorrhage in Taiwan. J Clin Neurosci. 2014;21(1):91–4.View ArticlePubMedGoogle Scholar
  15. Fogelholm R, Avikainen S, Murros K. Prognostic value and determinants of first-day mean arterial pressure in spontaneous supratentorial intracerebral hemorrhage. Stroke. 1997;28:1396–400.View ArticlePubMedGoogle Scholar
  16. Broderick J, Connolly S, Feldmann E, et al. Guidelines for the management of spontaneous intracerebral hemorrhage in adults: 2007 update: a guideline from the American Heart Association /American Stroke Association stroke council, high blood pressure research council, and the quality of care and outcomes in research interdisciplinary working group. Circulation. 2007;116(16):e391–413.View ArticlePubMedGoogle Scholar
  17. Coronado VG, Xu L, Basavaraju SV, et al. Surveillance for traumatic brain injury-related deaths--United States, 1997-2007. MMWR Surveill Summ. 2011;60(5):1–32.PubMedGoogle Scholar
  18. Iwashyna TJ, Deane AM. Individualizing endpoints in randomized clinical trials to better inform individual patient care: the TARGET proposal. Critical Care. 2016;20:1.View ArticleGoogle Scholar
  19. Harrison DA, Griggs KA, Prabhu G, et al. External validation and Reca libration of risk prediction models for acute traumatic brain injury among critically ill adult patients in the United Kingdom. J Neurotrauma. 2015;32(1):1522–37.View ArticlePubMedPubMed CentralGoogle Scholar
  20. Taylor MD, Tracy JK, Meyer W, et al. Trauma in the elderly: intensive care unit resource use and outcome. J Trauma. 2002;53(3):407–14.View ArticlePubMedGoogle Scholar
  21. Broos PL, D'Hoore A, Vanderschot P, et al. Multiple trauma in patients of 65 and over. Injury patterns. Factors influencing outcome. The importance of an aggressive care. Acta Chir Belg. 1993;93(3):126–30.PubMedGoogle Scholar
  22. Wang J, Bai L, Shi M,et al. Trends in age of first-ever stroke following increased incidence and life expectancy in a low-income chinese population. Stroke.2016 11. pii: STROKEAHA.115.012466. [Epub ahead of print].Google Scholar
  23. Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med. 2001;29:1303–131.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s). 2018

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