CC BY 4.0 · Indian Journal of Neurosurgery
DOI: 10.1055/s-0044-1788254
Original Research Article

Retrospective Outcome Analysis of Geriatric Traumatic Brain Injury Treated at a Tertiary Care Center in India

Abhishek Kumar
1   Department of Neurosurgery, King George's Medical University, Chowk, Lucknow, Uttar Pradesh, India
,
1   Department of Neurosurgery, King George's Medical University, Chowk, Lucknow, Uttar Pradesh, India
,
1   Department of Neurosurgery, King George's Medical University, Chowk, Lucknow, Uttar Pradesh, India
,
Anil Chandra
1   Department of Neurosurgery, King George's Medical University, Chowk, Lucknow, Uttar Pradesh, India
,
Chhitij Srivastava
1   Department of Neurosurgery, King George's Medical University, Chowk, Lucknow, Uttar Pradesh, India
,
1   Department of Neurosurgery, King George's Medical University, Chowk, Lucknow, Uttar Pradesh, India
,
Awdhesh Yadav
1   Department of Neurosurgery, King George's Medical University, Chowk, Lucknow, Uttar Pradesh, India
› Institutsangaben
 

Abstract

Background Trauma is a major cause of morbidity and mortality in elderly patients and its management is challenging. Outcome assessment in these patients is difficult because of preexisting chronic medical conditions as it may be impossible to isolate the effect of traumatic brain injury. This study aimed to examine the clinical outcomes and epidemiological and clinicoradiological characteristics of geriatric traumatic brain injury patients at a tertiary care center.

Methods The clinical records of patients aged ≥60 years with head injuries treated at King George's Medical University between 2016 and 2020 were included in the study. Patients were followed up in the outpatient department or through telephone consultation. The follow-up period was updated using the Glasgow outcome score (GOS) of patients for current neurological status and relevant radiological investigations.

Results The mean age of subjects was 66.16 ± 6.55 years. Road traffic accidents were the most frequent cause of brain injuries (448 [68.5%]). In total, 41% of the study patients had severe head injuries (Glasgow coma scale, GCS < 9) at admission. The in-hospital mortality was 25.2%. In total, 60.7% of discharged patients showed favorable outcomes (GOS: 4 or 5). GCS at admission, best motor response, and associated comorbidity (diabetes mellitus) significantly predicted the outcome at 6 months. The majority of the patients (82.6 %) were 60 to 70 years of age.

Conclusion Road traffic accidents are the most frequent cause of brain injuries in geriatrics. Most of them were managed medically, and majority were discharged (74.8%). Out of those discharged, 39.3% had unfavorable outcomes.


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Introduction

Traumatic brain injury (TBI) is a serious public health and societal problem which is a major cause of injury-related deaths and disability.[1] [2] [3] Due to the existence of many comorbidities, the incidence has grown in recent decades among elderly patients who sustain damage while having low energy levels. The life expectancy of the elderly has significantly increased due to medical improvements, which has also raised the incidence of geriatric traumatic brain injury (GTBI).[4] [5]

One million people in India die from TBI each year, while an estimated 1.5 to 2 million individuals are injured. Traffic accidents account for 60% of TBI cases, with falls (20–25%) and violent acts (10%) following in order of frequency. Alcohol use at the time of injury is known to have occurred in 15 to 20% of TBI cases.[5] [6] [7]

The mechanism of being injured, patient profile, and aftereffects differ among young and older adults of TBI which pinpoints the need for a specialized approach to deal with TBI in the elderly.[8] [9] According to epidemiological research, falls are the most common mechanism of injury among older individuals, and TBIs are more common in women; among younger people, on the other hand, most TBIs are caused by motor vehicle accidents. However, following a TBI, older age was linked to inferior treatment outcomes.[10] [11] [12] [13]

Comorbidities before injury and age can directly affect the healing process and time.[14] As a result, many a times the acute care of these patients is frequently neglected.[14] [15] Certain treatment facilities have age restrictions on receiving certain types of therapy, such admittance to neurointensive care or neurosurgical intervention.[4]

The literature on the outcomes of head injuries in the elderly population is sparse, especially in developing countries.[16] [17] [18] [19] [20] Majority of the studies have reported increased mortality rates and poor functional outcomes for the elderly TBI.[16] [17] [19] [21] We sought to study the clinical outcomes and epidemiological and clinicoradiological characteristics of patients with GTBI in our region.


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Methodology

Study Design and Setting

A retrospective study was conducted on patients aged ≥ 60 years with head injuries from January 2016 to December 2020 in the Department of Neurosurgery, King George's Medical University (KGMU), Lucknow.


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Study Participants

Inpatient medical records of all patients aged ≥ 60 years with head injuries due to road traffic accidents, falls, assault, and other causes during the study period were included in the study with a minimum follow-up of 6 months. Those with a dubious history of trauma, incomplete records, and unavailable data were excluded from the study. A total of 654 records were included in the study.


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Data Collection

The records of 654 patients with GTBI treated at KGMU were retrieved from the records section of the department. The data regarding demographics, clinicoradiological profile, operative findings, and neurological status at the discharge of the patient were entered into an Excel sheet and analyzed along with the follow-up data. Patients were followed up through telephone and letter or through direct outpatient department visits. The follow-up period was updated using the Glasgow outcome score (GOS) of patients for current neurological status and relevant radiological investigations.


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Data Analysis

Data were entered into the Microsoft Excel sheet. The confidentiality of each study participant was maintained throughout the study. The data were analyzed using SPSS version 24.0. Descriptive summary using frequencies, percentages, graphs, median and interquartile range (IQR), mean, and standard deviation were used to present the study results. Probability (p) was calculated to test statistical significance at the 5% level of significance. The Kolmogorov–Smirnov test was conducted to study the distribution of age and interval between the date of injury and the date of admission to the hospital. Age was normally distributed, while the interval was not normal. The unfavorable outcome was taken when the GOS was from 1 to 3, and the favorable outcome was taken when the GOS was >3. All epidemiological variables, radiological findings, and clinical explanatory variables were compared between the favorable and unfavorable outcomes using the chi-square test.

The study was approved by the institutional ethical committee (reference code: VI-PGTSC-11A/P23). The Declaration of Helsinki was followed during the procedure of the research.


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Results

Epidemiology of Traumatic Brain Injury among the Geriatric Patients

A total of 654 patients with GTBI were included in the study, and their details are shown in [Table 1]. Most of the patients (540 [82.6%]) were in the age group of 60 to 70 years. There was a strong male predominance (male [M]: 498, female [F]:156), with M:F ratio = 3.19: 1. Most of the cases (554 [84.7 %]) in our study were from rural areas.

Table 1

Epidemiological and radiological profile of traumatic brain injury geriatric patients at the time of recruitment in the study (KGMU, data from the time when they were admitted)

Variables

n = 654

%

Age (years)

60–70

540

82.6

71–80

96

14.7

81–90

16

2.4

>90

2

0.3

Gender

Male

498

76.1

Female

156

23.9

Residence

Urban

100

15.3

Rural

554

84.7

Mode of injuries

Road traffic accident

448

68.5

Fall from height

129

19.7

Assault

49

7.5

Hit by animal

12

1.

Slip and fall

7

1.1

Machine injury

5

0.8

Firearm injury

3

0.5

Unknown injury

1

0.2

Interval between injury and admission in trauma center

<12 h

216

33.0

12–24 h

202

30.9

24–48 h

88

13.5

>48 h

148

22.6

Clinical presentation at admission

H/O loss of consciousness

472

72.2

Vomiting

320

48.9

ENT bleed

306

46.8

Seizures

14

2.1

CSF rhinorrhea

22

3.4

CSF otorrhea

20

3.1

Altered sensorium

566

86.5

Anisocoria (unequal pupil size)

Present

172

26.3

Absent

482

73.7

GCS at admission

Mild (13–15)

169

25.8

Moderate (9–12)

217

33.2

Severe (≤8)

268

41.0

Best motor response at admission (M)

1

16

2.4

2

57

8.

3

54

8.3

4

71

10.9

5

307

46.9

6

149

22.8

Associated injuries

Long bone fractures

49

7.5

Chest injury

33

5

Facial injury

14

2.1

Blunt abdomen

3

0.5

Spine injuries

6

0.9

Comorbidities

Present

148

22.6

Absent

506

77.4

Type of comorbidity (n = 148)

Diabetes mellitus

68

10.4

Hypertension

65

9.9

Coronary artery disease

24

3.7

COPD

22

3.4

Pulmonary tuberculosis

19

2.9

H/O cerebrovascular accident

15

2.3

Abbreviations: COPD, chronic obstructive pulmonary disease; CSF, cerebrospinal fluid; ENT, ear nose throat; GCS, Glasgow coma scale; KGMU, King George's Medical University.


Road traffic accidents are the most frequent cause of brain injuries. It was observed in 448 (68.5 %) patients, while 129 (19.7%) patients sustained trauma due to falls from heights. The majority of the patients (216 [33%]) reached the hospital within 12 hours followed by 202 (30.9%) patients admitted between 12 and 24 hours of trauma. In total, 72.2% (472) patients had a history of loss of consciousness at the time of admission followed by 320 patients (48.9%) who had vomiting and 306 (46.8%) who had ear nose throat (ENT) bleeding ([Table 1]).

The median time from injury to admission was 22 hours (IQR: 14). Based on Glasgow coma scale (GCS) score at admission, 169 (25.8 %) patients had mild, 217 (33.2%) had moderate, and 268 (41%) patients had a severe type of TBI on admission. The most common associated injuries were long bone fractures seen in 49 (7.5%) patients.

Out of 654 GTBI patients, 148 (22.6%) patients had associated comorbidities (hypertension, diabetes mellitus, tuberculosis, coronary artery disease, history of cerebrovascular accident, and chronic obstructive pulmonary disease). Maximum patients (58.7%) had contusions as the dominant radiological finding. In total, 61.8% of patients had no midline shift on noncontrast-enhanced computed tomography (NCCT) head, while 2.6% patients had midline shift > 1 cm ([Fig. 1]). In total, 58.4% of patients had Marshall CT grade 2 on the NCCT head ([Fig. 2]).

Zoom Image
Fig. 1 Midline shift (centimeters) on CT scan head among the GTBI patients.
Zoom Image
Fig. 2 Marshall CT grade (NCCT head).

The mean age of the study participants was 65.88 ± 7.92 years ranging from 60 to 94 years. The median interval between the date of injury and admission (data were skewed) was 1.0 (0.0,2.0) hours with a variance of 41.33. The GCS at admission was 9.47 ± 3.64 with a range of 12. The duration of hospital stay was skewed so the median value was 4.0 (2.0–6.0) days. The GCS and GOS during discharge were 11.84 ± 3.16 and 3.05 ± 1.49, respectively. Lastly, GOS at 6 months was 4.03 ± 1.11 with a variance of 1.22 ([Table 2]).

Table 2

Descriptive statistics of the continuous variables of epidemiological profile (KGMU, data when they were admitted)

Variable

Mean ± SD

Variance

Median (IQR)

Range (Min.–Max.)

Age (years)

65.88 ± 7.92

62.80

65.0 (60.0–70.0)

34.0 (60.0–94.0)

Interval between date of injury and admission (hours)

2.51 ± 6.42

41.33

1.0 (0.0–2.0)

85.0 (0.00–85.0)

GCS score at admission

9.47 ± 3.64

13.25

9.0 (6.0–13.0)

12.0 (3.0–15.0)

Duration of hospital stay (days)

5.22 ± 15.83

250.76

4.0 (2.0–6.0)

479.0 (−111.0 to 368.0)

GCS during discharge

11.84 ± 3.16

10.02

12.0 (10.0–15.0)

11.0 (4.0–15.0)

GOS during discharge

3.05 ± 1.49

2.22

3.0 (1.0–4.0)

4.0 (1.0–5.0)

GOS at 6 mo

(n = 381)

4.03 ± 1.11

1.22

4.5 (3.0–5.0)

3.0 (2.0–5.0)

Abbreviations: GCS, Glasgow coma scale; GOS, Glasgow outcome score; IQR, interquartile range; KGMU, King George's Medical University; Max., maximum; Min., minimum; SD, standard deviation.



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Management of Geriatric Traumatic Brain Injury Patients

Out of 654 patients, 369 (56.4%) patients were managed medically, and surgery was performed in 285 (43.6%) patients. Out of the 285 patients who underwent surgical intervention, 85 patients (29.8%) underwent decompressive craniectomy, 165 (57.9%) underwent craniotomy, 27 (9.5%) underwent burr hole craniostomy, and 8 (2.8%) had undergone debridement craniectomy ([Fig. 3]).

Zoom Image
Fig. 3 Distribution of study participants on the basis of surgery underwent (n = 258).

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Management of Patients According to Radiological Findings

Among 384 patients in the contusion group, 248 were managed medically and 136 underwent surgery. Among 166 patients with subdural hematoma (SDH), 63 were managed medically and 103 underwent surgery. Among 49 patients with epidural hematoma, 9 were managed medically and 40 underwent surgery. Five patients had a depressed fracture with brain matter leak, and all five underwent surgical procedures. Four patients had basal ganglia bleeding, of which three were managed medically and one underwent surgery ([Table 3]).

Table 3

Management of geriatric TBI patients during the study as per radiological findings (KGMU, data when they were admitted)

Dominant radiological finding in NCCT head

Management

p-Value

Medical (n = 369)

Surgical (n = 285)

n

%

n

%

Contusion

248

67.2

136

47.7

0.443

Subdural hematoma

63

17.1

103

36.1

Epidural hematoma

9

2.4

40

14.0

Pneumocephalus

10

2.7

0

0

Diffuse axonal injury

21

5.7

0

0

Intraventricular hemorrhage

7

1.9

0

0

Subarachnoid hemorrhage

6

1.6

0

0

Depressed fracture with brain matter leak

0

0.0

5

1.8

Basal ganglia bleed

3

0.8

1

0.4

Depressed fracture

2

0.5

0

0

Abbreviations: KGMU, King George's Medical University; NCCT, noncontrast-enhanced computed tomography; TBI, traumatic brain injury.



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Outcome of the Geriatric Patients with Traumatic Brain Injury

Among 369 medically managed patients, 319 patients (86.4%) stayed in the hospital up to 7 days, 39 (10.6%) for 8 to 14 days, and 11 patients (3.0 %) for more than 14 days. Among 285 surgically managed patients, 230 patients (80.7%) stayed in the hospital up to 7 days, 46 (16.1%) for 8 to 14 days, and 9 (3.2%) for more than 14 days. Fourteen patients (2.1%) had surgical site infection, 34 (5.2%) had ventilator-associated pneumonia, 11 (1.7%) had deep venous thrombosis, and 92 (14.1%) had bedsore that was higher in complications ([Table 4]).

Table 4

Overall outcome of the geriatric patients with TBI recruited in the study (KGMU, after management, during hospital stay, and at discharge)

Outcome variables

n = 654

%

Duration of hospital stay

up to 7 d

549

83.9

8–14 d

85

13.0

 > 14 d

20

3.1

Complications during hospital stay

Surgical site infection

14

2.1

Ventilator-associated pneumonia

34

5.2

Deep venous thrombosis

11

1.7

Bedsore

92

14.1

Mortality statistics

Discharge

489

74.8

Expiry

165

25.2

GCS at the time of discharge

(n = 489)

Mild (13–15)

232

47.4

Moderate (9–12)

175

35.8

Severe (≤8)

82

16.8

Outcome at 6 mo follow-up (GOS score 1–5)

(n = 318)

Unfavorable (GOS 1–3)

125

39.3

Favorable (GOS 4–5)

193

60.7

Abbreviations: GCS, Glasgow coma scale; GOS, Glasgow outcome score; KGMU, King George's Medical University; TBI, traumatic brain injury.


Out of 654 patients, 489 patients (74.8%) were discharged from the hospital and 165 (25.2%) died during the hospital stay. Of the 489, 171 patients were lost to follow-up and a total of 318 patients were followed up until discharge, and the outcome was assessed. Out of these (n = 318) patients at 6 months follow-up, 193 patients (60.7%) showed favorable outcomes and 125 patients (39.3%) patients showed unfavorable outcomes.


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Factors Affecting Glasgow Outcome Score at 6 Months Follow-Up

The GCS score at admission and best motor response were found to be significantly associated with favorable outcomes (p < 0.001). The age group of 60 to 70 years showed a favorable outcome compared with other age groups. A history of loss of consciousness and altered sensorium had unfavorable outcomes (p < 0.001). At 6 months follow-up, only patients with diabetes mellitus had unfavorable outcomes (p < 0.001). No other comorbidity was significantly associated with the outcome ([Table 5]). GCS at admission, best motor score at admission, and length of hospital stay were significantly associated with outcome (p-value < 0.05) ([Table 6]).

Table 5

Association of different variables with epidemiological factors

Variables

Follow-up outcome GOS (1–5)

(n = 318)

p-Value

Unfavorable (GOS 1–3)

(n = 125)

Favorable (GOS 3–4)

(n = 193)

n

%

n

%

Age intervals

60–70 y

93

74.4

166

86.0

0.052

71–80 y

26

20.8

22

11.4

81–90 y

5

4.0

5

2.6

Above 90 y

1

0.8

0

0.0

Gender

Male

89

71.2

139

72.0

0.874

Female

36

28.8

54

28.0

Residence

Rural

119

95.2

157

81.3

0.342

Urban

6

4.8

36

18.7

Interval between date of injury and date of admission

<12 h

44

35.2

57

29.5

0.234

12–24 h

39

31.2

54

28.0

25–48 h

19

15.2

27

14.0

>48 h

23

18.4

55

28.5

Mode of injuries

Road traffic accident

86

68.8

123

63.7

0.343

Fall from height

29

23.2

44

22.8

Assault

5

4.0

18

9.3

Fire arm injury

0

0.0

1

0.5

Hit by animal

4

3.2

3

1.6

Machine injury

1

0.8

4

2.1

Total

125

100.0

193

100.0

Associated injury

Spine injury

0

0.0

1

0.5

1.000

Chest injury

9

7.2

10

5.2

0.458

Blunt abdomen

0

0.0

0

0.0

NA

Long bone fracture

7

5.6

14

7.3

0.562

Facial injury

2

1.6

10

5.2

0.102

Abbreviations: GOS, Glasgow outcome score; NA, not available.


Note: (King George's Medical University, data at follow-up at least after 6 months of discharge).


Table 6

Association of clinical and radiological factors with outcomes

Variables

Follow-up outcome GOS (1–5)

(n = 318)

p-Value

Unfavorable (GOS 1–3)

(n = 125)

Favorable (GOS 3–4)

(n = 193)

n

%

n

%

GCS at admission

Mild (GCS 13–15)

8

6.4

92

47.7

<0.001

Moderate (GCS 9–12)

53

42.4

73

37.8

Severe (GCS ≤8)

64

51.2

28

14.5

Best motor score at admission

1

1

0.8

0

0.0

<0.001

2

16

12.8

0

0.0

3

6

4.8

6

3.1

4

20

16.0

9

4.7

5

76

60.8

100

51.8

6

6

4.8

78

40.4

Clinical presentation variables

H/O Loss of consciousness

106

84.8

109

56.5

<0.001

Vomiting

56

44.8

86

44.6

0.966

ENT bleed

65

52.0

91

47.2

0.398

Seizures

1

0.8

4

2.1

0.652

Anisocoria

39

31.2

45

23.3

0.119

CSF rhinorrhea

4

3.2

9

4.7

0.520

CSF otorrhea

1

0.8

12

6.2

0.017

Altered sensorium

123

98.4

144

74.6

<0.001

Comorbidities

Hypertension

15

12.0

12

6.2

0.071

Diabetes mellitus

22

17.6

7

3.6

<0.001

Tuberculosis

1

0.8

8

4.1

0.079

Coronary artery disease

5

4.0

6

3.1

0.671

Cerebrovascular accident

4

3.2

3

1.6

0.439

Chronic obstructive Pulmonary disease

6

4.8

4

2.1

0.173

Dominant radiological finding

Epidural hematoma

7

5.6

24

12.4

0.159

Subdural hematoma

34

27.2

53

27.5

Contusion

83

66.4

104

53.9

Pneumocephalus

0

0.0

4

2.1

Diffuse axonal injury

0

0.0

2

1.0

Intraventricular hemorrhage

0

0.0

1

0.5

Subarachnoid hemorrhage

1

0.8

3

1.6

Depressed fracture with brain matter leak

0

0.0

0

0.0

Basal ganglia bleed

0

0.0

1

0.5

Depressed fracture

0

0.0

1

0.5

MLS (Midline shift)

No MLS

75

60.0

128

66.3

0.370

Up to 0.5

12

9.6

21

10.9

>0.5–1.0

31

24.8

39

20.2

>1.0

7

5.6

5

2.6

Marshall CT grade

1

0

0.0

2

1.0

0.327

2

75

60.0

126

65.3

3

12

9.6

21

10.9

4

38

30.4

44

22.8

Management

Medical

63

50.4

111

57.5

0.213

Surgical

62

49.6

82

42.5

Complications

Surgical site infections

4

40.0

6

60.0

1.000

Ventilator-associated pneumonia

6

100.0

0

0.0

Deep venous thrombosis

2

100.0

0

0.0

Bedsore

24

100.0

0

0.0

Hospital stay

up to 7 d

85

68.0

172

89.1

≤ 0.001

8–14 d

32

25.6

14

7.3

>14 d

8

6.4

7

3.6

Abbreviations: CSF, cerebrospinal fluid; ENT, ear nose throat; GCS, Glasgow coma scale; GOS, Glasgow outcome score.


Note: (King George's Medical University, data at follow-up at least 6 months after discharge).



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Discussion

The following study depicts the majority elderly (82.6%) cases aged 60 to 70 years and among the males (76.1%). This finding was in concordance with a study by Pillai et al,[22] who found a predominance of the male population with 269 (89.7 %) of those with TBI in comparison to the female population (10.3 %). Similarly, Borkar et al[17] found in their study the mean geriatric age to be 63.5 ± 4.64 years (60–85 years, 74% were male). The most common mode of injury was road traffic accidents (68.5%) in this study followed by falls from heights (19.7%). Other researchers have reported similar results.[18] [23] This can be attributed to the fact that males are involved in outdoor activities more than females which require more use of vehicles for transport leading to accidents.[24]

In our study, 169 (25.8 %) patients had a mild head injury (GCS: 13–15), 217 patients (33.2%) had a moderate head injury (GCS: 9–12), and 268 (41%) patients had a severe type of TBI (GCS ≤ 8) at the time of admission. A similar pattern was observed by Pillai et al,[22] in their study. Age and associated comorbidities can play a pivotal role in the severity of injury in the elderly. In our study, the maximum number of patients (46.9%) had best motor response of 5 at the time of admission. The most common clinical presentation was loss of consciousness (72.2%) which was seen in most geriatric TBI patients followed by 48.9% vomiting and 46.8% having ENT bleed. Similarly, Gupta et al,[25] observed that unconsciousness (86.46%), vomiting (46%), and ear bleeding (18.21%) were the main presenting symptoms in TBI patients. In total, 22.6% geriatric patients had comorbidities in our study. A close association was detected between older age and comorbidity which is close to the results of other recent TBI studies.[26] [27]

More than half of the patients (56.4%) had undergone medical management and 43.6% underwent surgical management. Among the surgical management, 57.9% underwent craniotomy followed by 29.8% who had decompressive craniotomy. This was in concordance with a study by Shimoda et al,[19] who observed that 478 geriatric patients (54%) were given surgical management which included craniotomy, craniectomy, or evacuation through burr-hole. These results implicate that in many settings surgeons are willing to perform even on elderly patients as modern medicine is advancing prolonging life span. Shimoda et al,[19] reported that an improved outcome and better mortality rate were seen in patients who underwent surgical management in elderly patients with TBI, especially those who suffered from GCS scores 6 to 15 had acute SDHs who received intensive neurocritical management. Among those who had GCS score of 3 to 5, surgical management did not prove to be effective. However, the mortality rate in the group that did not undergo surgery was significantly lower than that in the surgery group. Till date, there is conflicting evidence regarding the management of geriatric TBI and its impact on the outcomes.

In our study, 25.2% of the patients had expired during their stay in the hospital. Very few studies have prospectively observed the outcomes in geriatric patients. In our study, GCS scores at admission and the best motor response were found to be significantly associated with favorable outcomes. At 6 months follow-up, only patients with diabetes mellitus had significant unfavorable outcomes ([Table 7]). Our finding was in agreement with the study by Baum et al,[28] who concluded that the survival of elderly patients depends on age, GCS score, injury severity score, and critical head injuries. Similarly, Narayan et al[23] concluded in his prospective study on outcome prediction following severe head injury on 133 patients that 96% of patients with the best motor response (5–6) had a favorable prognosis. Borkar et al[17] found in their study that associated comorbidities (diabetes mellitus and coronary artery disease) added to poor outcomes, which is in agreement with our findings. The associations between age, management, and mortality should be investigated in more detail in future studies, especially because the severity of TBIs tends to be lower in elderly patients than in younger patients.

Table 7

A comparison of predictors of unfavorable outcomes in elderly patients of traumatic brain injury

Author, year

Age of participants

Sample size

Unfavorable outcome (%)

Mortality (%)

Predictors of unfavorable outcome

Susman et al 2002

≥65

3,244

54

24

Age

Mosenthal et al 2002

≥65

153

43

30

Age, low GCS

Hukkelhoven et al 2003

≥65

101

85

72

Age

Nakamura et al 2006

≥50

535

80

61

Age, modes of injury—motor vehicle accidents, falls, jumps

Tokutomi et al 2008

≥70

189

90

69

Increased age, early hypoxia, low GCS, associated systemic injury, intracranial mass lesion, systemic complication

Borkar et al 2011

≥65

100

70

70

Increased interval from injury to intervention, spinal injury, diabetes, traumatic SAH on CT

Shimoda et al 2014

≥65

888

87

70

Age, low GCS

Osterman et al 2018

≥65

596

39.4

26.4

Respiratory failure, pupillary response, and the injury severity score.

Lenell et al 2019

≥60

220

54.5

27

Age, GCS M ≤ 3 on admission, diffuse injury Marshall score I–IV, Marshall score evacuated mass lesion, use of warfarin

Maiden et al 2019

≥60

540

87.2

79.3

Age, injury severity score, brainstem compression on CT

Vlegel et al 2022

≥65

1,254

36.9

25.8

Age, ASA grade,

Present Study, 2023

≥60

654

39.3

25.2

Low GCS at admission, History of loss of consciousness, altered sensorium, diabetes mellitus

Abbreviations: ASA, American Society of Anesthesiologists; CT, computed tomography; GCS, Glasgow coma scale; SAH, subarachnoid hemorrhage.


The present study may suffer from selection and information bias because of its retrospective nature.

The following study revealed the dynamics of geriatric TBI which will be crucial in clinical decision-making. However, prospective cohort studies are needed to determine the causal associations between various factors and the outcomes of TBI among geriatric patients. However, it is a large sample size study, which provides stronger and reliable results. Not many studies had been conducted in our region which studied the outcome of the TBI in age group above 65 years, so this study enlightens the predictors of favorable and unfavorable outcomes in depth.


#

Conclusion

Road traffic accidents were the most frequently observed cause of brain injury, and most of these patients were managed medically. In total, 25.2% of patients died in the hospital during the course of stay. GCS at admission, best motor response, and presence of comorbidity were significant predictors of the outcome of GTBI patients at 6 months follow-up.


#
#

Conflict of Interest

None declared.

  • References

  • 1 Taylor CA, Bell JM, Breiding MJ, Xu L. Traumatic brain injury-related emergency department visits, hospitalizations, and deaths—United States, 2007 and 2013. MMWR Surveill Summ 2017; 66 (09) 1-16
  • 2 Skaansar O, Tverdal C, Rønning PA. et al. Traumatic brain injury—the effects of patient age on treatment intensity and mortality. BMC Neurol 2020; 20 (01) 376
  • 3 Faul M, Xu L, Wald MM. et al. Traumatic brain injury in the United States: national estimates of prevalence and incidence, 2002–2006. Inj Prev 2010; 16 (Suppl. 01) A268
  • 4 Gardner RC, Dams-O'Connor K, Morrissey MR, Manley GT. Geriatric traumatic brain injury: epidemiology, outcomes, knowledge gaps, and future directions. J Neurotrauma 2018; 35 (07) 889-906
  • 5 Al-Taei O, Al-Mirza A, Ali M, Al-Kalbani H, Al-Saadi T. Prevalence and outcomes of geriatric traumatic brain injury in developing countries: a retrospective study. Indian J Neurotrauma 2023; 20 (02) 101-106
  • 6 Gururaj G. Epidemiology of traumatic brain injuries: Indian scenario. Neurol Res 2002; 24 (01) 24-28
  • 7 Hazare P, Shukla D, Bhat D. et al. Prediction of surgical outcome for acute traumatic brain injury in older adults. Neurol India 2022; 70 (03) 1112-1118
  • 8 Munivenkatappa A, Kumar V, Bhandarkar P, Roy N, Kamble J, Agrawal A. Neurotrauma in old aged: a study from India. Indian J Neurosurg 2017; 6 (01) 004-9
  • 9 Bhatoe HS. Head injury in the elderly. Indian J Neurotrauma 2006; 3 (01) 5-6
  • 10 Cuthbert JP, Harrison-Felix C, Corrigan JD. et al. Epidemiology of adults receiving acute inpatient rehabilitation for a primary diagnosis of traumatic brain injury in the United States. J Head Trauma Rehabil 2015; 30 (02) 122-135
  • 11 Harvey LA, Close JC. Traumatic brain injury in older adults: characteristics, causes and consequences. Injury 2012; 43 (11) 1821-1826
  • 12 Coronado VG, Thomas KE, Sattin RW, Johnson RL. The CDC traumatic brain injury surveillance system: characteristics of persons aged 65 years and older hospitalized with a TBI. J Head Trauma Rehabil 2005; 20 (03) 215-228
  • 13 Dams-O'Connor K, Cuthbert JP, Whyte J, Corrigan JD, Faul M, Harrison-Felix C. Traumatic brain injury among older adults at level I and II trauma centers. J Neurotrauma 2013; 30 (24) 2001-2013
  • 14 Singh R, Prasad RS, Singh K, Sahu A, Pandey N. Clinical, surgical and outcome predictive factor analysis of operated acute subdural hematoma cases: a retrospective study of 114 operated cases at tertiary centre. Indian J Neurosurg 2022; 11 (02) 128-135
  • 15 Obanife HO, Ismail NJ, Lasseini A, Shehu BB, Otorkpa EJ. Risk factors, pattern and outcome of motorcycle-associated head injury in Sokoto: an analysis of 184 Cases. Indian J Neurotrauma 2021; 18 (02) 105-110
  • 16 Mak CH, Wong SK, Wong GK. et al. Traumatic brain injury in the elderly: is it as bad as we think?. Curr Transl Geriatr Exp Gerontol Rep 2012; 1 (03) 171-178
  • 17 Borkar SA, Sinha S, Agrawal D. et al. Severe head injury in the elderly: risk factor assessment and outcome analysis in a series of 100 consecutive patients at a Level 1 trauma centre. Indian J Neurotrauma 2011; 8 (02) 77-82
  • 18 Thompson HJ, McCormick WC, Kagan SH. Traumatic brain injury in older adults: epidemiology, outcomes, and future implications. J Am Geriatr Soc 2006; 54 (10) 1590-1595
  • 19 Shimoda K, Maeda T, Tado M, Yoshino A, Katayama Y, Bullock MR. Outcome and surgical management for geriatric traumatic brain injury: analysis of 888 cases registered in the Japan Neurotrauma Data Bank. World Neurosurg 2014; 82 (06) 1300-1306
  • 20 Sinha VD, Gupta V, Singh DK. et al. Geriatric head injuries—experience and expectations. Indian J Neurotrauma 2008; 5 (02) 69-73
  • 21 Yokobori S, Yamaguchi M, Igarashi Y. et al. Outcome and refractory factor of intensive treatment for geriatric traumatic brain injury: analysis of 1165 cases registered in the Japan Neurotrauma Data Bank. World Neurosurg 2016; 86: 127-133.e1
  • 22 Pillai SV, Kolluri VR, Praharaj SS. Outcome prediction model for severe diffuse brain injuries: development and evaluation. Neurol India 2003; 51 (03) 345-349
  • 23 Narayan RK, Greenberg RP, Miller JD. et al. Improved confidence of outcome prediction in severe head injury. A comparative analysis of the clinical examination, multimodality evoked potentials, CT scanning, and intracranial pressure. J Neurosurg 1981; 54 (06) 751-762
  • 24 Pathak SM, Jindal AK, Verma AK, Mahen A. An epidemiological study of road traffic accident cases admitted in a tertiary care hospital. Med J Armed Forces India 2014; 70 (01) 32-35
  • 25 Gupta P, Singh J, Sharma A. et al. Epidemiological analysis and clinical characteristics of traumatic brain injuries in rural Jaipur: the first single centre experience. J Evid Based Med Healthc. 2015; 2 (52) 8686-8691
  • 26 Fu WW, Fu TS, Jing R, McFaull SR, Cusimano MD. Predictors of falls and mortality among elderly adults with traumatic brain injury: a nationwide, population-based study. PLoS One 2017; 12 (04) e0175868
  • 27 Kumar RG, Juengst SB, Wang Z. et al. Epidemiology of comorbid conditions among adults 50 years and older with traumatic brain injury. J Head Trauma Rehabil 2018; 33 (01) 15-24
  • 28 Baum CM, Wolf TJ, Wong AWK. et al. Validation and clinical utility of the executive function performance test in persons with traumatic brain injury. Neuropsychol Rehabil 2017; 27 (05) 603-617

Address for correspondence

Abhishek Kumar, MCh
Neurosurgery Department (5th Floor, Shatabdi Hospital, Phase—2), King George Medical University
Chowk. Lucknow, Pin code 226003, Lucknow, Uttar Pradesh
India   

Publikationsverlauf

Artikel online veröffentlicht:
16. September 2024

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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  • References

  • 1 Taylor CA, Bell JM, Breiding MJ, Xu L. Traumatic brain injury-related emergency department visits, hospitalizations, and deaths—United States, 2007 and 2013. MMWR Surveill Summ 2017; 66 (09) 1-16
  • 2 Skaansar O, Tverdal C, Rønning PA. et al. Traumatic brain injury—the effects of patient age on treatment intensity and mortality. BMC Neurol 2020; 20 (01) 376
  • 3 Faul M, Xu L, Wald MM. et al. Traumatic brain injury in the United States: national estimates of prevalence and incidence, 2002–2006. Inj Prev 2010; 16 (Suppl. 01) A268
  • 4 Gardner RC, Dams-O'Connor K, Morrissey MR, Manley GT. Geriatric traumatic brain injury: epidemiology, outcomes, knowledge gaps, and future directions. J Neurotrauma 2018; 35 (07) 889-906
  • 5 Al-Taei O, Al-Mirza A, Ali M, Al-Kalbani H, Al-Saadi T. Prevalence and outcomes of geriatric traumatic brain injury in developing countries: a retrospective study. Indian J Neurotrauma 2023; 20 (02) 101-106
  • 6 Gururaj G. Epidemiology of traumatic brain injuries: Indian scenario. Neurol Res 2002; 24 (01) 24-28
  • 7 Hazare P, Shukla D, Bhat D. et al. Prediction of surgical outcome for acute traumatic brain injury in older adults. Neurol India 2022; 70 (03) 1112-1118
  • 8 Munivenkatappa A, Kumar V, Bhandarkar P, Roy N, Kamble J, Agrawal A. Neurotrauma in old aged: a study from India. Indian J Neurosurg 2017; 6 (01) 004-9
  • 9 Bhatoe HS. Head injury in the elderly. Indian J Neurotrauma 2006; 3 (01) 5-6
  • 10 Cuthbert JP, Harrison-Felix C, Corrigan JD. et al. Epidemiology of adults receiving acute inpatient rehabilitation for a primary diagnosis of traumatic brain injury in the United States. J Head Trauma Rehabil 2015; 30 (02) 122-135
  • 11 Harvey LA, Close JC. Traumatic brain injury in older adults: characteristics, causes and consequences. Injury 2012; 43 (11) 1821-1826
  • 12 Coronado VG, Thomas KE, Sattin RW, Johnson RL. The CDC traumatic brain injury surveillance system: characteristics of persons aged 65 years and older hospitalized with a TBI. J Head Trauma Rehabil 2005; 20 (03) 215-228
  • 13 Dams-O'Connor K, Cuthbert JP, Whyte J, Corrigan JD, Faul M, Harrison-Felix C. Traumatic brain injury among older adults at level I and II trauma centers. J Neurotrauma 2013; 30 (24) 2001-2013
  • 14 Singh R, Prasad RS, Singh K, Sahu A, Pandey N. Clinical, surgical and outcome predictive factor analysis of operated acute subdural hematoma cases: a retrospective study of 114 operated cases at tertiary centre. Indian J Neurosurg 2022; 11 (02) 128-135
  • 15 Obanife HO, Ismail NJ, Lasseini A, Shehu BB, Otorkpa EJ. Risk factors, pattern and outcome of motorcycle-associated head injury in Sokoto: an analysis of 184 Cases. Indian J Neurotrauma 2021; 18 (02) 105-110
  • 16 Mak CH, Wong SK, Wong GK. et al. Traumatic brain injury in the elderly: is it as bad as we think?. Curr Transl Geriatr Exp Gerontol Rep 2012; 1 (03) 171-178
  • 17 Borkar SA, Sinha S, Agrawal D. et al. Severe head injury in the elderly: risk factor assessment and outcome analysis in a series of 100 consecutive patients at a Level 1 trauma centre. Indian J Neurotrauma 2011; 8 (02) 77-82
  • 18 Thompson HJ, McCormick WC, Kagan SH. Traumatic brain injury in older adults: epidemiology, outcomes, and future implications. J Am Geriatr Soc 2006; 54 (10) 1590-1595
  • 19 Shimoda K, Maeda T, Tado M, Yoshino A, Katayama Y, Bullock MR. Outcome and surgical management for geriatric traumatic brain injury: analysis of 888 cases registered in the Japan Neurotrauma Data Bank. World Neurosurg 2014; 82 (06) 1300-1306
  • 20 Sinha VD, Gupta V, Singh DK. et al. Geriatric head injuries—experience and expectations. Indian J Neurotrauma 2008; 5 (02) 69-73
  • 21 Yokobori S, Yamaguchi M, Igarashi Y. et al. Outcome and refractory factor of intensive treatment for geriatric traumatic brain injury: analysis of 1165 cases registered in the Japan Neurotrauma Data Bank. World Neurosurg 2016; 86: 127-133.e1
  • 22 Pillai SV, Kolluri VR, Praharaj SS. Outcome prediction model for severe diffuse brain injuries: development and evaluation. Neurol India 2003; 51 (03) 345-349
  • 23 Narayan RK, Greenberg RP, Miller JD. et al. Improved confidence of outcome prediction in severe head injury. A comparative analysis of the clinical examination, multimodality evoked potentials, CT scanning, and intracranial pressure. J Neurosurg 1981; 54 (06) 751-762
  • 24 Pathak SM, Jindal AK, Verma AK, Mahen A. An epidemiological study of road traffic accident cases admitted in a tertiary care hospital. Med J Armed Forces India 2014; 70 (01) 32-35
  • 25 Gupta P, Singh J, Sharma A. et al. Epidemiological analysis and clinical characteristics of traumatic brain injuries in rural Jaipur: the first single centre experience. J Evid Based Med Healthc. 2015; 2 (52) 8686-8691
  • 26 Fu WW, Fu TS, Jing R, McFaull SR, Cusimano MD. Predictors of falls and mortality among elderly adults with traumatic brain injury: a nationwide, population-based study. PLoS One 2017; 12 (04) e0175868
  • 27 Kumar RG, Juengst SB, Wang Z. et al. Epidemiology of comorbid conditions among adults 50 years and older with traumatic brain injury. J Head Trauma Rehabil 2018; 33 (01) 15-24
  • 28 Baum CM, Wolf TJ, Wong AWK. et al. Validation and clinical utility of the executive function performance test in persons with traumatic brain injury. Neuropsychol Rehabil 2017; 27 (05) 603-617

Zoom Image
Fig. 1 Midline shift (centimeters) on CT scan head among the GTBI patients.
Zoom Image
Fig. 2 Marshall CT grade (NCCT head).
Zoom Image
Fig. 3 Distribution of study participants on the basis of surgery underwent (n = 258).