Predictors of Hospitalization Among Newly Admitted Skilled Nursing Facility Residents: Rethinking the Role of Functional Decline

Purpose: Hospital transfer from a skilled nursing facility (SNF) is costly, and many are potentially preventable. This study examines: 1) whether functional decline is a predictor of hospital transfer, and 2) the magnitude of relationships between predictors (functional impairment and chronic medical illness) and hospital transfer from SNFs. Methods: We used Minimum Data Set (MDS) Version 2.0 in the state of Michigan between 2007 and 2009. In total, 196,662 new SNF admissions were observed. Multilevel generalized estimating equations and regression models were performed for each functional and clinical domain while adjusting for demographic variables and change in activities of daily living (ADL). Results: 65% of recently admitted SNF residents experienced functional decline after SNF admission, and 58% were readmitted to a hospital. Residents who needed extensive assistance or were completely dependent in their functional domains had pressure ulcers, deteriorated mood or lower cognitive performance scale scores. These residents experienced higher chances of hospital transfer. However, a deteriorated ADL played a significant role in all multivariate models, indicating that a decline in ADL is a stronger predictor of hospital transfer than other functional or clinical predictors. Conclusion: Although all functional impairments and chronic medical illness can be associated with hospital transfer, functional decline may be the most important predictor of hospital transfer in patients newly admitted to an SNF

Dysphagia severity is associated with worse sleep-disordered breathing in infants with Down syndrome.

STUDY OBJECTIVES: Hypotonia, commonly seen in infants with Down syndrome (I-DS), can contribute to masticatory and oropharyngeal muscle weakness, increasing the risk for dysphagia and sleep-disordered breathing. Data describing the occurrence of dysphagia and sleep-disordered breathing in I-DS are limited. This study aims to determine the frequency and severity of dysphagia and its relationship to polysomnogram parameters in I-DS. METHODS: We included I-DS who underwent polysomnography at a single academic center over a 6-year period. Data collected included sex, age, presence of dysphagia (low suspicion of dysphagia vs dysphagia vs feeding tube), and polysomnographic data. Dysphagia was determined by a video fluoroscopic swallow study in the presence of clinical suspicion. RESULTS: A total of 40 I-DS were identified (mean age 6.6 months ± 3; male 65%). There were 11, 13, and 16 I-DS with low suspicion of dysphagia, dysphagia, and feeding tube, respectively. Obstructive sleep apnea was more severe in I-DS in the feeding tube group when compared with the group with a low suspicion of dysphagia and (apnea-hypopnea index mean [standard error] = 49.3 [7.6] vs 19.2 [9.2] events/h; P = .016). Dysphagia severity was positively correlated with a higher obstructive apnea-hypopnea index (r = .43, P = .006). CONCLUSIONS: There is a high incidence of dysphagia and sleep-disordered breathing in I-DS. Dysphagia severity correlated with obstructive apnea-hypopnea index severity. Our results suggest that I-DS need early evaluation of both sleep-disordered breathing and dysphagia. CITATION: Cho Y, Kwon Y, DelRosso L, Sobremonte-King M. Dysphagia severity is associated with worse sleep-disordered breathing in infants with Down syndrome. J Clin Sleep Med. 2023;19(5):883-887

The burden of sleep disordered breathing in infants with Down syndrome referred to tertiary sleep center.

INTRODUCTION: Children with Down Syndrome (DS) are at high risk of sleep disordered breathing (SDB). We aimed to examine the burden of SDB in infants with DS referred to tertiary sleep center. METHODS: Infants (≤12 months old) with DS who underwent consecutive polysomnography (PSG) at a single academic sleep center over a 6-year period were included. obstructive sleep apnea (OSA) (obstructive apnea hypopnea index [oAHI]>1/hr), central sleep apnea (central apnea index > 5/h) and the presence of hypoventilation (% time spent with CO2  > 50 mmHg either by end-tidal or transcutaneous> 25% of total sleep time) and hypoxemia (time spent with O2 saturation <88% >5 min) were ascertained. RESULTS: A total of 40 infants were included (Mean age 6.6 months, male 66%). PSGs consisted of diagnostic (n = 13) and split night (n = 27, 68%) studies. All met criteria for OSA with mean oAHI 34.6/h (32.3). Central sleep apnea was present in 11 (27.5%) of infants. A total of 11 (27.5%) had hypoxemia. Hypoventilation was present in 10 (25%) infants. CONCLUSION: This study highlights the high prevalence of SDB in infants with DS referred to a sleep center, and supports early PSG assessment in this patient population

Daytime QT by Routine 12-Lead ECG Is Prolonged in Patients with Severe Obstructive Sleep Apnea

Background. Obstructive sleep apnea (OSA) has been linked to sudden cardiac death (SCD). Prolonged QT is a recognized electrocardiographic (ECG) marker of abnormal ventricular repolarization linked to increased risk of SCD. We hypothesized that individuals with OSA have more pronounced abnormality in daytime QT interval. Methods. We reviewed consecutive patients who underwent clinically indicated polysomnography with 12-lead ECG within 1 year at a single center. Heart rate-corrected QT interval (QTc) was compared by OSA severity class (normal/mild: apnea‐hypopnea index AHI30 (n=105)) adjusting for body mass index, age, sex, hypertension, and heart failure. Further evaluation was performed by dividing patients into severe (AHI>30) and nonsevere (450/>470 ms for men/women, respectively). Results. A total of 249 patients were included. QTc was similar between the normal/mild and moderate groups, and the overall QTc trend increased across OSA (normal/mild: 435.6 ms; moderate: 431.36; severe: 444.4; p trend=0.03). Abnormal QTc was found amongst 34% of male and 31% of female patients. Patients with severe OSA had longer QTc compared with normal/mild OSA (mean difference (95% CI): 10.0 ms (0.5, 19.0), p=0.04). When stratified dichotomously (as opposed to three groups), patients with severe OSA again had longer QTc (vs. nonsevere OSA) (444.4 ms vs. 433.48 ms, p=0.004). Severe OSA was also associated with abnormal QTc (OR (95% CI): 2.68 (1.34, 5.48), p=0.006). Conclusions. In a sleep clinic cohort, severe OSA was associated with higher QTc and clinically defined abnormal QTc compared with nonsevere OSA

Predictors of Hospitalization Among Newly Admitted Skilled Nursing Facility Residents: Rethinking the Role of Functional Decline

Purpose: Hospital transfer from a skilled nursing facility (SNF) is costly, and many are potentially preventable. This study examines: 1) whether functional decline is a predictor of hospital transfer, and 2) the magnitude of relationships between predictors (functional impairment and chronic medical illness) and hospital transfer from SNFs. Methods: We used Minimum Data Set (MDS) Version 2.0 in the state of Michigan between 2007 and 2009. In total, 196,662 new SNF admissions were observed. Multilevel generalized estimating equations and regression models were performed for each functional and clinical domain while adjusting for demographic variables and change in activities of daily living (ADL). Results: 65% of recently admitted SNF residents experienced functional decline after SNF admission, and 58% were readmitted to a hospital. Residents who needed extensive assistance or were completely dependent in their functional domains had pressure ulcers, deteriorated mood or lower cognitive performance scale scores. These residents experienced higher chances of hospital transfer. However, a deteriorated ADL played a significant role in all multivariate models, indicating that a decline in ADL is a stronger predictor of hospital transfer than other functional or clinical predictors. Conclusion: Although all functional impairments and chronic medical illness can be associated with hospital transfer, functional decline may be the most important predictor of hospital transfer in patients newly admitted to an SNF