Intellectually disabled patients’ intensive care admission characteristics, weaning from mechanical ventilation, and sedative drug use: a single-center retrospective case-control study
Journal of Anesthesia, Analgesia and Critical Care volume 2, Article number: 52 (2022)
Intellectually disabled (ID) patients present unique therapeutic challenges. We aimed to describe the characteristics of ID patients admitted to a general intensive care unit (ICU).
We conducted a retrospective cohort study comparing critically ill adult ID patients to matched patients without ID (1:2 ratio) in a single ICU (2010–2020). The main outcome measure was mortality. Secondary outcomes included complications during admission and characteristics of weaning from mechanical ventilation. The study and control groups were randomly selected based on similar age and sex. ID patients nonetheless had an average APACHE score of 18.5 ± 8.7 vs. 13.4 ± 8.5 in controls (p < 0.001). ID patients had more hematological (p = 0.04), endocrinological (p < 0.001) and neurological (p = 0.004) comorbidities and used more psychiatric medication before admission. No difference was found in mortality rates. Differences were found as there were more secondary complications, such as pulmonary and sepsis (p < 0.03), frequent requirement of vasopressors (p = 0.001), significantly higher intubation rates with more weaning attempts, tracheostomies and longer ICU and hospital admissions (p < 0.019).
Critically ill adult ID may have more comorbidities and be sicker at the time of admission compared to their age- and sex-matched counterparts. They require more supportive treatment and their weaning from mechanical ventilation may be more challenging.
Intellectually disabled (ID) patients present unique therapeutic challenges. They demand more medical resources than the general population  and have higher rates of hospital and intensive care unit (ICU) admission . Few studies exist regarding the characteristics of these patients and the therapeutic challenges they present in the ICU.
Intellectual disability is defined by the presence of cognitive ability limitations (meaning an IQ lower than 70) and difficulties in societal adjustment . The etiologies of ID include environmental as well as genetic factors (for example chromosomal aberrances, single gene mutations) . The worldwide reported of prevalence of ID is 2–3% and the population of patients with ID is increasing . Among ID patients, many have Down Syndrome (DS) .
ID patients suffer lifelong disability and early mortality [4, 5]. Compared to the general population, they undergo more hospitalizations  and when hospitalized have longer lengths of in-hospital stay [4, 6]. They are admitted more frequently after surgical procedures, have more complications [7, 8] and are also more likely to die during hospitalization [9, 10]. Moreover, three of every four patients with ID receive chronic psychoactive drug therapy and half are treated with more than one medication . Weaning un-cooperative adults from mechanical ventilation presents unique difficulties. Despite this, there is a paucity of clinically relevant medical literature regarding the ICU treatment and outcomes of patients with ID.
We aimed to describe the characteristics of ID patients admitted to a general ICU and to compare the rates of unadjusted, all-cause, ICU and in-hospital mortality of these patients to an age- and sex-matched cohort without ID. We also studied the duration of hospital and ICU stay, secondary complications, the process of weaning from mechanical ventilation, the medications used to assist the weaning process and readmission rates. We hypothesized that mortality rates, complication rates, and admission and ventilation durations are greater in ID patients than in controls and that these patients receive higher doses of sedative medication in the days before extubation.
This retrospective, case-control study included patients with and without intellectual disability (ID) who were admitted to a single general intensive care unit (ICU) in Israel. The study was approved by the institutional review board (0085-19-SZMC) with waiver of informed consent and is reported according to STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) recommendations .
The Shaare Zedek Medical Center (SZMC) is a tertiary hospital with > 1000 adult acute care beds, > 50 intermediate care beds and 14 general ICU beds. In the general ICU, triage, extubation, and discharge decisions are made by an ICU team which always includes at least one boarded intensivist. Approximately 650 patients are treated in the general ICU annually.
All adult patients (≥ 18 years) admitted to the SZMC general ICU (2010-2020) were eligible for study inclusion. The study (ID) group included patients with at least one of the following three International Classification of Disease (ICD) admission diagnoses in their electronic medical record (EMR): mental retardation (ICD-9 code 317-319), Down syndrome (ICD-9 code 758.0) or disorder of pituitary gland (ICD-9 code 253). Following preliminary inclusion, patient files were manually screened to ensure fulfillment of inclusion/exclusion criteria and to confirm the presence of an ID.
The control group included non-ID patients admitted to the ICU during the same study period with a similar age and sex. For each ID patient two non-ID patients were randomly selected using the free online Python random module (see Supplement 1). If no matching control patient was found, patients of the same sex but with a single year of age difference were matched.
For both study and control patients, if more than one ICU admission occurred during the study period, we analyzed only the data from the first admission but documented the occurrence of a second hospitalization with ICU admission.
The primary study outcome measures were the rates of unadjusted, all-cause, ICU, and in-hospital mortality in the study and control groups. The secondary outcome measures included comparative population characteristics, including background diseases and psychiatric medications, duration of ICU and hospital stay, rates and duration of mechanical ventilation, the characteristics of the weaning process (including the amounts of sedative drugs used before extubation), and ICU complication and extubation rates.
For the full list of variables extracted, see Supplement 2. Broadly, these included patient demographics and medical history, the details of the current admission (for example indication, admission ward), the details of weaning from mechanical ventilation (for example the number of weaning and extubation attempts, planned/unplanned extubation, tracheostomy), and the sedative and hypnotic drugs used during the 48 h before extubation.
Data sources and measurement
All data were extracted from the SZMC EMRs. These data were either documented in real-time by the treating nursing and medical staff or recorded automatically during admission. Physiological and respiratory parameters, laboratory test results, and ventilation settings were recorded automatically. Drugs (continuous and bolus administration) and their concentrations/doses were documented manually by the nursing staff up to 1st August 2018 and recorded directly from syringe pumps to the EMR after this date. All other data were documented in the EMR by the treating medical staff (doctors and nurses).
Complications that occurred during ICU hospitalization were documented and classified according to ICD-9 diagnosis as they were recorded by the medical staff. For example, secondary infections include central line associated, skin, surgical wound, or gastrointestinal tract infections. Pulmonary complications include hospital-acquired pneumonia, iatrogenic pneumothorax, and lung atelectasis. Sepsis was diagnosed based on the presence of either an ICD-9 code in the discharge summary or a documented septic episode during admission. Patients were followed to hospital discharge or death (whichever occurred first).
The file of one patient identified for study inclusion could not be located (1.6%). To calculate the medication dose per body weight, we extracted patient weight from routine nursing admission notes. If it had not been documented at this time, we extracted patient weight from the first assessment performed by the clinical nutritionist after admission or from the weight most recently documented hospital in a previous hospital visit. The files of five patients contained no information regarding weight (2.5%). For these patients we used the average gendered (male/female) weight of the group to which they were allocated (study/control).
Study size and sample size calculation
We planned a study of independent cases and controls with 2 control(s) per case. Due to the limited number of cases, we used a 1:2 study to control ratio, thereby increasing the power of the study [13, 14]. Prior data indicate that the likelihood of death among ICU patients with no ID approximates 25–30% [15, 16]. Prior data also allows us to assume that the true odds ratio for death in critically ill patients with ID relative to those without ID approximates 2.5 [17, 18]. We therefore calculated we would need to study 59 patients with ID and 118 patients without ID to be able to reject the null hypothesis that this odds ratio equals 1 with probability (power) 0.8. The type I error probability associated with this test of this null hypothesis is 0.05.
Variable definitions and management of quantitative variables
Patients referred to the hospital from a nursing home or an assisting community/facility were listed as “admitted from institution”. The cause of admission was listed as surgical if the patient arrived to the ICU from a surgical ward or if the patient underwent surgery during ICU admission. A weaning attempt was defined as such if the ventilation method was changed from intermittent mechanical ventilation (in any mode) to continuous positive airway pressure (CPAP) with pressure support (PS).
If the patient underwent more than one intubation, we included weaning and medication data only from the first extubation attempt but documented failed extubations, reintubation, and/or tracheotomies (if performed).
Drug doses were calculated as the overall amount given in 24 h (continuous and bolus doses) divided by the actual duration of administration (for example total 200 ml divided by 10 h of continuous infusion) and were calculated with respect to the patient's weights (in mg/kg/h).
Categorical variables are described as frequencies and percentages. Quantitative variables are presented as means with their standard deviations [SDs], as well as median and interquartile ranges [IQRs]. After examining variable distributions, the groups (study/control) were compared using either Chi-square or Fisher’s exact tests for categorical variables and either unpaired Student t-test or Mann–Whitney tests for quantitative variables, dependent on variable distribution. All statistical tests were two-sided and a p value ≤ 0.05 was considered statistically significant. Statistical analyses were all performed using SPSS (IBM Corp. Released 2017. IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp.)
Based on study period and ICD-9 codes, overall 98 patients were identified as potentially eligible for inclusion in the study group. Forty were excluded during manual chart review yielding a final study group comprised of 58 patients (see Fig. 1 for details of the inclusion-exclusion process). The control group included 116 patients with no intellectual disability ho had been admitted to the ICU during the study period and had similar age and sex as the study group patients.
Preliminary review of study and control group characteristics revealed significantly more patients with physical trauma and motor vehicle accidents among controls. We therefore randomly selected 24 substitute control patients to adjust for this difference, thereby creating a modified control group that better matched the baseline characteristics of the study group (referred as “original”; with trauma patients, and “modified”; without trauma patients, Supplement 4a). Ultimately, data were collected on 140 controls and the final dataset was comprised of 198 patients overall. In the main body of the article the data are presented for the modified control group. The data for the original control group are presented as supplementary material.
Description of the cohort as a whole
The mean age of the cohort as a whole was 39.19 ± 14.02 years (median 35, IQR 28.75–49.25, range 18–70). Overall, 70.2% (n = 139) were male and 29.8% (n = 59) were female. Their mean APACHE II score was 14.5 ± 8.7 (median 14, IQR 8–19). Additional characteristics are presented in Table 1.
Description of study and control patients
The study group was comprised of patients with general mental retardation (70.7%, n = 41), Down syndrome (27.6%, n = 16), and panhypopituitarism (1.7% n = 1). The study and control groups were well matched in age and sex as planned. However, only 41.4% of study patients were admitted from home compared 97.4% in the control group (p < 0.001) (Table 1).
Severity of acute disease
The mean APACHE II score of study group was 18.5 ± 8.7 (median 18, IQR 11–23.25, range 4–44) whereas the control group had a mean APACHE II score of 13.4 ± 8.5 (median 12.5, IQR 7–18, range 0–43, p < 0.001). Also, the proportion of patients receiving vasopressors was higher among study patients than among control patients (51.7% vs. 26.7%, p = 0.001).
Primary outcome measure: ICU and in-hospital mortality
The ICU mortality rate was 5.2% (n = 3) among study patients versus 4.3% (n = 5) among control patients (p = 0.0798, 95%CI − 0.08, 0.23, OR 1.2566). The in-hospital mortality rate was 19% (n = 11) among study patients and 9.5% (n = 11) among control patients (p = 0.076, 95%CI − 0.07, 0.35, OR 2.2340) (Table 1).
Secondary outcome measures: background diseases and psychiatric/neurological medications
Study patients had more comorbidities than control patients, including hematological (20.7% vs. 9.5%, p = 0.04), endocrinological (excluding diabetes) (31% vs. 9.5%, p < 0.001), and neurological diseases (37.9% vs. 18.1%, p = 0.004). Conversely, the proportion of smokers was lower among study patients (6.9% vs. 33.6% control, p < 0.001) (Table 1).
The prevalence of psychiatric medication use before admission was higher among study patients vs. control patients (53.4% vs. 14.7% respectively, p < 0.001). Specifically, study patients were treated more with anti-depressants, typical anti-psychotics, atypical anti-psychotics, benzodiazepines, anti-convulsive drugs, and anti-cholinergic medications (Table 2).
Rate and duration of mechanical ventilation and weaning
Rate of mechanical ventilation
The proportion of patients undergoing intubation and mechanical ventilation was higher among study patients than among control patients (86.2% [n = 50], vs. 37.9% [n = 44], p < 0.001).
Duration of mechanical ventilation and weaning
The overall duration of mechanical ventilation (comprised of the time from intubation to first weaning attempt and the time from initiation of the first weaning attempt to extubation) was longer in study patients than in control patients; study patients 7.3 ± 6.2 days (median 5, IQR 2–11), versus control patients 4.1 ± 2.8 days (median 4, IQR 2–5) (p = 0.005, 95% CI 1.05, 5.45).
The time from intubation to first weaning attempt was longer in study patients than in control patients (4.8 ± 5.0 days [median 1, IQR 1–7.5], versus 2.7 ± 2.8 [median 1, IQR 1–4], p = 0.02, 95% CI 0.34, 3.80). Also, the time from initiation of the first weaning attempt to successful extubation was longer (1.5 ± 2.5 days [median 1, IQR 0–2], vs 0.48 ± 1.40 [median 1, IQR 0–1], p = 0.007, 95% CI 0.30, 1.78).
Finally, tracheostomy rates were significantly higher in study patients compared to control patients (20.7% [n = 12], vs. 2.6% [n = 3], p < 0.001) (Table 3).
Sedative drugs and doses used prior to extubation
Propofol and remifentanil were the drugs most commonly used in the 48 h prior to extubation in both study and control patients. While both propofol and benzodiazepines were used for a significantly greater proportion of patients in the control group than in the study group before extubation, (56%% vs. 77.6%, p = 0.023 and 6% vs. 24.5% respectively, p = 0.01) (Tables 4 and 5), the overall dose of propofol given in the 48 h prior to extubation was lower in study patients vs. controls, with 1.48 mg/kg/h vs. 2.06 mg/kg/h (p = 0.034) in the 0–24 h, and 1.38 mg/kg/h vs. 2.14 mg/kg/h (p = 0.009) in the 24–48 h before extubation. No other differences were found when comparing additional sedatives (Table 4).
Study patients had more ICU complications (34.5% vs. 8.6%, p < 0.001); specifically secondary infections (29.3% vs. 2.6%, p < 0.001), pulmonary complications (8.6% vs. 1.7%, p = 0.029) and sepsis (6.9% vs. 0%, p = 0.012).
Lengths of stay and readmission rates
Study patients had longer ICU LOSs (mean 10.95 ± 11.4 days, median 5.5, IQR 3–16) than control patients (mean 4.9 ± 3.7 days, median 6, IQR 2–7) (p = 0.001, 95% CI 2.24, 8.41). Study patients also had longer hospital LOSs (mean 30.7 ± 40.3 days, median 20, IQR 8.75–36) than control patients (mean 16.4 ± 16.9 days, median 24, IQR 6.25–19.75) (p = 0.032, 95% CI 1.07, 23.24).
Study patients had a lower rate of readmission to the ICU during the same hospital stay compared to control patients (6.9% vs. 8.6% respectively, p = 0.036). Conversely, study patients had a higher rate of second hospitalization with ICU admission within the study period compared to control patients (0.38 ± 0.721 vs. 0.16 ± 0.486 respectively, p = 0.024) (Table 6).
Although the current study identified several characteristics related to ICU admission that seem unique to patients with intellectual disability, no difference in mortality was found. These patients had more background diseases and received more psychiatric/neurological medications before admission than their random age- and sex-matched controls. They presented with significantly higher APACHE II scores and had a higher rate of vasopressor use. These patients were more likely to undergo mechanical ventilation than random age- and sex-matched controls, had longer durations of intubation, underwent more weaning attempts despite less use of sedative/analgesic medications during the process of weaning, and underwent more tracheostomies. These patients also had more complications during admission and, unsurprisingly, they had longer ICU and hospital stays. Finally, although their readmission rates were lower and their survival outcomes were no different than those of random age- and sex-matched controls without intellectual disability, they more often had a repeated hospitalization with ICU admission.
The findings of our study are reminiscent of some other studies that describe no difference in mortality rates in patients with and without ID , despite higher intubation rates  more frequent vasopressor use [18, 19], and more sepsis complications in ID patients [7, 12]. Other studies showed significantly higher ICU admission rates  and more prolonged ICU [4, 6] and hospital admissions . Taken together, the findings of our study and their similarity to other studies, suggest patients with intellectual disability may survive admission at a higher cost in terms of quality of life and level of post-discharge independent functioning. Alternatively, our sample size may have been too small to identify differences in survival or this may be a phenomenon observed specifically in our medical center.
Despite our small number of cases our study has several advantages. Contrary to many other clinical and epidemiological studies on this population, we compared ID patients to randomly selected age- and sex-matched controls [18,19,20]. While the size of our dataset did not enable propensity scoring, this partial matching eliminates at least some potential bias and the remaining between-group differences are now highlighted, enabling adjustment in future studies. In addition, manual data extraction ensured a low rate of missing data. It also enabled focus on details of the medications administered and the weaning process that are not easily accessible in most hospital databases.
Our findings indicate several potential causes of worse outcomes in adult ID patients. These patients seem to have more background diseases, higher APACHE II scores and increased rates of vasopressor use and are therefore probably in a worse clinical condition at the time of ICU admission, than their age- and sex-matched counterparts. Higher APACHE scores and vasopressor requirements may also indicate the presence of lower physiological reserves in this population. Finally, these findings may also be indirect evidence for late diagnosis and treatment due to difficulties encountered in understanding, communicating, or identifying symptoms in ID patients .
One would also expect that ID patients would require heavier sedation, due to a combination of preadmission habituation to drugs and poor cooperation with the weaning process. In this study, this did not seem to be the case, as these patients underwent much longer durations of mechanical ventilation despite the use of less medication. Possible explanations for this finding include the higher burden of prior comorbidities, previous sedentary lifestyle with prior muscle wasting, and/or greater sensitivity to sedative drug effects [22, 23].
Our study has several limitations. Given the small number of cases and the many differences we identified between adults with and without ID despite our best efforts to match the two populations, we provide only unadjusted data for the main outcome. Even without adjustment our study is probably underpowered for the main outcome; despite covering a full 10 years of admissions we identified only 58 patients for inclusion in the study group. Moreover, this study was conducted in a single medical center. This not only limited the number of candidates for study inclusion but could also affect generalizability. While prior papers on adult populations also found no difference in mortality when comparing those with ID to those without [4, 18], these studies also included a small number of medical centers or selected populations. Furthermore, based on the mortality rates observed in our study, we calculated that a sample size of more than 6500 cases and 13,000 controls would be required to identify a difference in mortality.
In conclusion, adults with intellectual disability that are admitted to the ICU differ significantly from their age- and sex-matched counterparts. These patients seem sicker at the time of admission, require more supportive treatment and their process of weaning from mechanical ventilation is more complex. These findings are highly supportive of the need for individualized patient care in the ICU. Our findings require validation in multicenter data with larger sample sizes.
Availability of data and materials
The datasets during and/or analyzed during the current study available from the corresponding author on reasonable request.
Lunsky Y, De Oliveira C, Wilton A, Wodchis W (2019) High health care costs among adults with intellectual and developmental disabilities: a population-based study. J Intellect Disabil Res. 63(2):124–137. https://doi.org/10.1111/jir.12554 Epub 2018 Nov 1. PMID: 30381849
Amor-Salamanca A, Menchon JM (2018) Rate and characteristics of urgent hospitalisation in persons with profound intellectual disabilities compared with general population. J Intellect Disabil Res. 62(3):179–186. https://doi.org/10.1111/jir.12436 Epub 2017 Oct 29. PMID: 29082562
Iwase S, Bérubé NG, Zhou Z, Kasri NN, Battaglioli E, Scandaglia M, Barco A (2017) Epigenetic etiology of intellectual disability. J Neurosci. 37(45):10773–10782. https://doi.org/10.1523/JNEUROSCI.1840-17.2017 PMID: 29118205; PMCID: PMC5678009
Tenenbaum A, Chavkin M, Wexler ID, Korem M, Merrick J (2012) Morbidity and hospitalizations of adults with Down syndrome. Res Dev Disabil. 33(2):435–441. https://doi.org/10.1016/j.ridd.2011.09.026 Epub 2011 Dec 1. PMID: 22137940
Foreman KJ, Abbasoglu OA (2015) Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: quantifying the epidemiological transition. Lancet. 386(10009):2145–2191. https://doi.org/10.1016/S0140-6736(15)61340-X Epub 2015 Aug 28. PubMed PMID: 26321261; PubMed Central PMCID: PMC4673910
Ailey SH, Johnson T, Fogg L, Friese TR (2014) Hospitalizations of adults with intellectual disability in academic medical centers. Intellect Dev Disabil. 52(3):187–192. https://doi.org/10.1352/1934-9556-52.3.187 PMID: 24937744
Lin JA, Liao CC, Chang CC, Chang H, Chen TL (2011) Postoperative adverse outcomes in intellectually disabled surgical patients: a nationwide population-based study. PLoS One 6(10):e26977. https://doi.org/10.1371/journal.pone.0026977 Epub 2011 Oct 27. PMID: 22046425; PMCID: PMC3203162
Brown HK, Saha S, Chan TCY et al (2022) Outcomes in patients with and without disability admitted to hospital with COVID-19: a retrospective cohort study. CMAJ. 194(4):E112–E121. https://doi.org/10.1503/cmaj.211277
Florio T, Trollor J (2015) Mortality among a cohort of persons with an intellectual disability in New South Wales, Australia. J Appl Res Intellect Disabil 28(5):383–393. https://doi.org/10.1111/jar.12190 Epub 2015 May 21. PMID: 25994286
Glover G, Williams R, Oyinlola J (2020) An observational cohort study of numbers and causes of preventable general hospital admissions in people with and without intellectual disabilities in England. J Intellect Disabil Res. 64(5):331–344. https://doi.org/10.1111/jir.12722 Epub 2020 Mar 5. PMID: 32141168
Russel T, Hahn J, Hayward K (2017) Psychiatric services for individuals with intellectual and developmental disabilities: medication management. J Mental Health Res Intellectual Disabil 4(4):265–289. https://doi.org/10.1080/19315864.2011.603107
von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, STROBE Initiative (2008) The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 61(4):344–349. https://doi.org/10.1016/j.jclinepi.2007.11.008 PMID: 18313558
Hennessy S, Bilker WB, Berlin JA, Strom BL (1999) Factors influencing the optimal control-to-case ratio in matched case-control studies. Am J Epidemiol. 149(2):195–197. https://doi.org/10.1093/oxfordjournals.aje.a009786 Erratum in: Am J Epidemiol 1999 Mar 1;149(5):489. PMID: 9921965
Kang M-S et al (2009) The effect of increasing control-to-case ratio on statistical power in a simulated case-control SNP association study. Genomics Inform 7(3):148–151. https://doi.org/10.5808/gi.2009.7.3.148
Weigl W, Adamski J, Goryński P, Kański A, Hultström M (2018) ICU mortality and variables associated with ICU survival in Poland: a nationwide database study. Eur J Anaesthesiol. 35(12):949–954. https://doi.org/10.1097/EJA.0000000000000889 PMID: 30234666
Capuzzo M, Volta C, Tassinati T, Moreno R, Valentin A, Guidet B, Iapichino G, Martin C, Perneger T, Combescure C, Poncet A, Rhodes A, Working group on health economics of the european society of intensive care medicine (2014) Hospital mortality of adults admitted to Intensive Care Units in hospitals with and without Intermediate Care Units: a multicentre European cohort study. Crit Care. 18(5):551. https://doi.org/10.1186/s13054-014-0551-8 PMID: 25664865; PMCID: PMC4261690
Baraona F, Gurvitz M, Landzberg MJ, Opotowsky AR (2013) Hospitalizations and mortality in the United States for adults with Down syndrome and congenital heart disease. Am J Cardiol. 111(7):1046–1051. https://doi.org/10.1016/j.amjcard.2012.12.025 Epub 2013 Jan 17. PMID: 23332593
Tibby SM, Durward A, Goh CT, Thorburn K, Morris K, Broadhead M, Peters MJ (2012) Clinical course and outcome for critically ill children with Down syndrome: a retrospective cohort study. Intensive Care Med. 38(8):1365–1371. https://doi.org/10.1007/s00134-012-2589-x Epub 2012 May 15. PMID: 22584799
Joffre C, Lesage F, Bustarret O, Hubert P, Oualha M (2016) Children with Down syndrome: clinical course and mortality-associated factors in a French medical paediatric intensive care unit. J Paediatr Child Health. 52(6):595–599. https://doi.org/10.1111/jpc.13214 PMID: 27333845
Strauss D, Eyman RK, Grossman HJ (1996) Predictors of mortality in children with severe mental retardation: the effect of placement. Am J Public Health. 86(10):1422–1429. https://doi.org/10.2105/ajph.86.10.1422 PMID: 8876512; PMCID: PMC1380654
Amor-Salamanca A, Menchon JM (2017) Pain underreporting associated with profound intellectual disability in emergency departments. J Intellect Disabil Res. 61(4):341–347. https://doi.org/10.1111/jir.12355 Epub 2017 Jan 5. PMID: 28054733
Chaudhary K, Bagharwal P, Wadhawan S (2017) Anesthesia for intellectually disabled. J Anaesthesiol Clin Pharmacol 33(4):432–440. https://doi.org/10.4103/joacp.JOACP_357_15PMID: 29416231; PMCID: PMC5791252
Costello A, Hudson E, Morrissey S, Sharma D, Kelly D, Doody O (2022) Management of psychotropic medications in adults with intellectual disability: a scoping review. Ann Med 54(1):2486–2499
We wish to thank Mr. Eran Bineth for his gracious assistance in the review of the literature and in the writing of the background for the manuscript.
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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A request to conduct the study was submitted and approved by the Helsinki Committee (in application number 0085-19-SZMC) for a study that includes the populations examined in the same question.
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Link to the free Python random module: https://miniwebtool.com/random-picker. Supplement 2. Table listing the variables extracted for the purpose of the current study. Supplement 3. Search terms used. Supplement 4a. Baseline characteristics of critically ill patients with intellectual disability versus matched patients without intellectual disability. Supplement 4b. Pre-admission treatment with psychiatric drugs among among critically ill patients with intellectual disability versus matched patients without intellectual disability. Supplement 5. intubation characteristics and the weaning process among critically ill patients with intellectual disability versus matched patients without intellectual disability. Supplement 6a. Medications given 48 hours before extubation among critically ill patients with intellectual disability versus matched patients without intellectual disability. Supplement 6b. Total dose of drugs given in the 48 hours before extubation among critically ill patients with intellectual disability versus matched patients without intellectual disability. Supplement 7. Admission characteristics and mortality rates among critically ill patients with intellectual disability versus matched patients without intellectual disability. Supplement 8. Main diagnosis at the time of intensive care admission according to the International classification of Diseases-9, among critically ill patients with intellectual disability versus matched patients without intellectual disability.
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Bineth, N., Barel, N., Bdolah-Abram, T. et al. Intellectually disabled patients’ intensive care admission characteristics, weaning from mechanical ventilation, and sedative drug use: a single-center retrospective case-control study. J Anesth Analg Crit Care 2, 52 (2022). https://doi.org/10.1186/s44158-022-00081-4
- Intellectually disability
- Respiration, Artificial
- Medicine, Clinical