1Faculty of Nursing, Arab Community College of Technology, Amman, Jordan
2Faculty of Nursing, The University of Jordan, Amman, Jordan
3Department of Ophthalmology, Faculty of Medicine, The University of Jordan, Amman, Jordan
4Faculty of Nursing, Al-Zaytoonah University, Amman, Jordan
5Faculty of Nursing, Yarmouk University, Irbid, Jordan
© 2025 The Korean Society of Critical Care Medicine
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
CONFLICT OF INTEREST
No potential conflict of interest relevant to this article was reported.
FUNDING
None.
ACKNOWLEDGMENTS
None.
AUTHOR CONTRIBUTIONS
Conceptualization: ATS, SYNM. Methodology: ATS, SYNM, GAM. Formal analysis: ATS, SYNM. Data curation: ATS, AAF. Visualization: ATS, AAF, AAR. Project administration: GAM. Funding acquisition: SYNM. Writing – original draft: ATS. Writing – review & editing: SYNM, GAM, AAF, AAR. The authors approve the publication of the final manuscript and are accountable for all aspects of the work.
Variable | Value |
---|---|
Age (yr) | 59±16 (18–86) |
Sex | |
Female | 69 (44.2) |
Male | 87 (55.8) |
Medical sector | |
Educational | 114 (73.1) |
Private | 42 (26.9) |
Length of hospital stay | 7.23±4.99 (2–30) |
Variable | No. (%) |
---|---|
Medical diagnosisa) | |
Renal disorders | 10 (6.4) |
Respiratory disorders | 34 (21.8) |
Cardiac disorders | 23 (14.7) |
Traumatic brain injuries | 22 (14.1) |
Brain disorders | 31 (19.9) |
Cancer-related disorders | 17 (10.9) |
Gastrointestinal disorder | 6 (3.8) |
Liver disorders | 3 (1.9) |
Sepsis | 10 (6.4) |
GCS | |
3 | 54 (34.6) |
4 | 8 (5.1) |
5 | 48 (30.8) |
6 | 46 (29.5) |
History of HTN | 112 (71.8) |
History of DM | 62 (39.7) |
Using sedation medication | 119 (76.3) |
Using muscle relaxant medication | 14 (9.0) |
Using cardiac medication | 14 (9.0) |
Using inotropes | 48 (30.8) |
GCS: Glasgow Coma Scale; HTN: hypertension; DM: diabetes mellitus.
a)Renal disorders: acute kidney injury, diabetic ketoacidosis, end-stage renal failure; Respiratory disorders: chest infection, respiratory distress syndrome, lung fibrosis; Cardiac disorders: post-cardiopulmonary resuscitation, pulmonary embolism, cardiogenic shock, diastolic heart failure, congestive heart failure; Traumatic brain injuries: brain hemorrhage, head trauma, subarachnoid hemorrhage, craniotomy; Brain disorders: cerebrovascular accident, seizure, epilepsy, stroke, Guillain-Barré syndrome; Cancer-related disorders: brain mass, brain tumor, lung cancer, colon cancer, lymphoma, liver cancer, Gastrointestinal disorders: post laparoscopy, ileostomy closure, duodenal perforation, gastrointestinal bleeding; Liver disorders: obstructive jaundice, liver cirrhosis.
Study | Research topic | Methods | Key findings |
---|---|---|---|
Jammal et al. (2012) [17] | Determine the frequency of exposure keratopathy in sedated and mechanically ventilated patients in the intensive care unit and its risk factors | Prospective cohort study | The frequency of exposure keratopathy in sedated and mechanically ventilated patients is high (57%) with lagophthalmos and chemosis as the main risk factors. |
Motarjemizadeh et al. (2018) [25] | Determine the frequency of exposure keratopathy among patients in intensive care units in Iran | Retrospective cross-sectional design | The frequency of exposure keratopathy was 33.4%. |
There was a significant difference between patients in terms of their sexes, the levels of consciousness (Glasgow Coma Scale), Acute Physiology and Chronic Health Evaluation II score, duration of mechanical ventilation and hospitalization in the intensive care unit, mortality rate, and the frequency of exposure keratitis (P<0.05). The most common factor was the low level of consciousness. | |||
Aggarwal et al. (2022) [26] | Determine the prevalence and severity of exposure keratopathy and the role of surface lubrication as a prevention method | Retrospective cross-sectional design | The prevalence of EK was 54.6%. It's also revealed that the rate of exposure keratopathy is lower in patients on ointments (11.1%) compared to drops alone (38.5%). |
Characteristic | No. (%) |
---|---|
Patients with EK | 66 (42.3) |
Lagophthalmos | 21 (13.5) |
Chemosis | 42 (26.9) |
Grade of EK (n=66) | |
Mild | 28 (17.9) |
Moderate | 22 (14.1) |
Severe | 16 (10.3) |
Site of EK (n=66) | |
Right eye | 11 (7.1) |
Left eye | 18 (11.5) |
Both eyes | 37 (23.7) |
Variable | Value |
---|---|
Age (yr) | 59±16 (18–86) |
Sex | |
Female | 69 (44.2) |
Male | 87 (55.8) |
Medical sector | |
Educational | 114 (73.1) |
Private | 42 (26.9) |
Length of hospital stay | 7.23±4.99 (2–30) |
Variable | No. (%) |
---|---|
Medical diagnosis |
|
Renal disorders | 10 (6.4) |
Respiratory disorders | 34 (21.8) |
Cardiac disorders | 23 (14.7) |
Traumatic brain injuries | 22 (14.1) |
Brain disorders | 31 (19.9) |
Cancer-related disorders | 17 (10.9) |
Gastrointestinal disorder | 6 (3.8) |
Liver disorders | 3 (1.9) |
Sepsis | 10 (6.4) |
GCS | |
3 | 54 (34.6) |
4 | 8 (5.1) |
5 | 48 (30.8) |
6 | 46 (29.5) |
History of HTN | 112 (71.8) |
History of DM | 62 (39.7) |
Using sedation medication | 119 (76.3) |
Using muscle relaxant medication | 14 (9.0) |
Using cardiac medication | 14 (9.0) |
Using inotropes | 48 (30.8) |
Variable | Patients with EK (n=66) | Patients with no EK (n=90) | P-value |
---|---|---|---|
History of DM | 39 (59.1) | 23 (25.6) | <0.001 |
History of HTN | 57 (86.4) | 55 (61.1) | <0.001 |
GCS | <0.001 | ||
3 | 52 (78.8) | 2 (2.2) | |
4 | 4 (6.1) | 4 (4.4) | |
5 | 7 (10.6) | 41 (45.6) | |
6 | 3 (4.5) | 43 (47.8) | |
Using of sedative | 62 (94) | 57 (63.3) | <0.001 |
Using muscle relaxant medication | 14 (21.2) | 0 | <0.001 |
Using cardiac medication | 10 (15.2) | 4 (4.4) | 0.012 |
Using inotropes | 42 (63.6) | 6 (6.7) | <0.001 |
Chemosis | 36 (54.5) | 6 (6.7) | <0.000 |
Lagophthalmos | 18 (27.3) | 3 (3.3) | <0.001 |
HCO3 | 0.017 | ||
22–26 mEq/L | 30 (45.5) | 47 (52.2) | |
>26 mEq/L | 11 (16.7) | 19 (21.1) | |
<22 mEq/L | 25 (37.8) | 24 (26.7) | |
Nurse-to-patient ratio | 0.022 | ||
1:1 | 7 (10.6) | 20 (22.2) | |
1:2 | 59 (89.4) | 70 (77.8) |
Predictor | B | Walid χ2 | OR | P-value | 95% CI |
---|---|---|---|---|---|
GCS (score=3) | 3.067 | 1.034 | 21.47 | 0.003 | 2.82–163.05 |
Inotropes | 3.571 | 1.195 | 35.55 | 0.003 | 3.41–369.90 |
Length of stay (>7.23 days) | 4.960 | 1.130 | 43.59 | <0.001 | 15.66–1,316.32 |
Study | Research topic | Methods | Key findings |
---|---|---|---|
Jammal et al. (2012) [17] | Determine the frequency of exposure keratopathy in sedated and mechanically ventilated patients in the intensive care unit and its risk factors | Prospective cohort study | The frequency of exposure keratopathy in sedated and mechanically ventilated patients is high (57%) with lagophthalmos and chemosis as the main risk factors. |
Motarjemizadeh et al. (2018) [25] | Determine the frequency of exposure keratopathy among patients in intensive care units in Iran | Retrospective cross-sectional design | The frequency of exposure keratopathy was 33.4%. |
There was a significant difference between patients in terms of their sexes, the levels of consciousness (Glasgow Coma Scale), Acute Physiology and Chronic Health Evaluation II score, duration of mechanical ventilation and hospitalization in the intensive care unit, mortality rate, and the frequency of exposure keratitis (P<0.05). The most common factor was the low level of consciousness. | |||
Aggarwal et al. (2022) [26] | Determine the prevalence and severity of exposure keratopathy and the role of surface lubrication as a prevention method | Retrospective cross-sectional design | The prevalence of EK was 54.6%. It's also revealed that the rate of exposure keratopathy is lower in patients on ointments (11.1%) compared to drops alone (38.5%). |
EK: exposure keratopathy.
Values are presented as mean±standard deviation (range) or number (%).
GCS: Glasgow Coma Scale; HTN: hypertension; DM: diabetes mellitus. Renal disorders: acute kidney injury, diabetic ketoacidosis, end-stage renal failure; Respiratory disorders: chest infection, respiratory distress syndrome, lung fibrosis; Cardiac disorders: post-cardiopulmonary resuscitation, pulmonary embolism, cardiogenic shock, diastolic heart failure, congestive heart failure; Traumatic brain injuries: brain hemorrhage, head trauma, subarachnoid hemorrhage, craniotomy; Brain disorders: cerebrovascular accident, seizure, epilepsy, stroke, Guillain-Barré syndrome; Cancer-related disorders: brain mass, brain tumor, lung cancer, colon cancer, lymphoma, liver cancer, Gastrointestinal disorders: post laparoscopy, ileostomy closure, duodenal perforation, gastrointestinal bleeding; Liver disorders: obstructive jaundice, liver cirrhosis.
Values are presented as number (%). EK: exposure keratopathy; DM: diabetes mellitus; HTN: hypertension; GCS: Glasgow Coma Scale.
EK: exposure keratopathy; OR: odds ratio; GCS: Glasgow Coma Scale. The analysis report included Wald χ2, B coefficient estimation associated with each predictor, P-value, and OR to provide estimated relative risk. Logistic regression analysis was performed at α=0.05 level of significant.