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1.
Diabetes Res Clin Pract ; 185: 109230, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-35122906

RESUMO

OBJECTIVES: This study aimed to describe rates and trends in hospitalizations, inpatient mortality, total hospital charges, and mean lengths of stay among adult patients hospitalized for hyperosmolar hyperglycemic state (HHS). METHODS: The study included NIS databases 2008, 2010, 2012, 2014, 2016, and 2018. These databases were searched for hospitalizations with a principal discharge diagnosis of HHS in patients with T2DM using ICD codes (25020, 25022, and E110). Patients less than 18 years, elective hospitalizations, HHS in patients with T1DM or secondary diabetes mellitus were excluded. We used multivariable regression analysis to obtain trends in mortality, length of stay (LOS), and total hospital charges (THC). RESULTS: Between 2008 and 2018, there was a trend towards increasing hospitalizations for T2DM with HHS (p trend < 0.001). The mean age over the period ranged from 56.9 to 59.1 years old. Men made up the majority of hospitalizations. Over the decade, there was a steady rise in the proportion of Whites and Hispanics with HHS, and Medicare was the most prevalent insurer overall. Inpatient mortality for HHS decreased from 1.44% in 2008 to 0.77% in 2018 (p trend 0.007). There was also a statistically significant decrease in both LOS and THC over the studied period. CONCLUSIONS: Trends in HHS showed increased hospitalizations, LOS, and THC over the decade in the study period, but inpatient mortality declined.


Assuntos
Diabetes Mellitus Tipo 2 , Coma Hiperglicêmico Hiperosmolar não Cetótico , Adulto , Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Diabetes Mellitus Tipo 2/complicações , Mortalidade Hospitalar , Hospitalização , Pacientes Internados , Tempo de Internação , Medicare , Estados Unidos/epidemiologia
2.
J Clin Endocrinol Metab ; 106(9): 2592-2599, 2021 08 18.
Artigo em Inglês | MEDLINE | ID: mdl-34043791

RESUMO

CONTEXT: Diabetic ketoacidosis (DKA) is a serious endocrine emergency, associated with morbidity and mortality. Readmissions play a significant but sometimes preventable role in healthcare cost burden on the US. OBJECTIVE: This study aimed to describe rates and characteristics of nonelective 30-day readmission among adult patients with diabetes mellitus type 1 (T1DM) hospitalized for DKA and also identify predictors of readmission. METHODS: The study analyzed the 2018 Nationwide Readmission Database. DKA hospitalizations in patients with T1DM were classified using International Classification of Diseases, Tenth Revision, Clinical Modification codes. We utilized chi-squared tests to compare baseline characteristics between readmissions and index hospitalizations. Multivariable Cox regression was employed to identify independent predictors of readmission. Following this, we developed a 30-day readmission risk scoring system based on independent predictors. RESULTS: The 30-day all-cause readmission rate for DKA was 19.4%. A majority of patients (64.8%) had DKA as the principal diagnosis on readmission. Readmitted patients had a significantly higher mean age (35.3 vs 34.9 years, P = .018) and a higher proportion of females (52.8 vs 49.6%, P < .001) than the index admission. Readmission following DKA was associated with higher odds of inpatient mortality (0.69 vs 0.24%, OR 2.84, 95% CI 1.99-4.06, P < .001). Independent predictors of 30-day all-cause readmission included female sex, index hospitalizations with Charlson Comorbidity Index (CCI) score of 3 or greater, and being discharged against medical advice (AMA). CONCLUSION: The readmission rate for DKA in T1DM patients is high, and most patients have DKA as the principal diagnosis on readmission. A CCI equal to or greater than 3, hypertension, female sex, and being discharged AMA were significant predictors of readmission.


Assuntos
Diabetes Mellitus Tipo 1/complicações , Cetoacidose Diabética/epidemiologia , Readmissão do Paciente/estatística & dados numéricos , Adulto , Cetoacidose Diabética/mortalidade , Feminino , Mortalidade Hospitalar , Hospitalização/estatística & dados numéricos , Humanos , Masculino , Modelos de Riscos Proporcionais , Estudos Retrospectivos
3.
J Investig Med ; 69(5): 1022-1026, 2021 06.
Artigo em Inglês | MEDLINE | ID: mdl-33589444

RESUMO

This study aimed to compare outcomes of systemic sclerosis (SSc) hospitalizations with and without lung involvement. The primary outcome was inpatient mortality while secondary outcomes were hospital length of stay (LOS) and total hospital charge. Data were abstracted from the National Inpatient Sample (NIS) 2016 and 2017 database. This database is the largest collection of inpatient hospitalization data in the USA. The NIS was searched for SSc hospitalizations with and without lung involvement as principal or secondary diagnosis using International Classification of Diseases 10th Revision (ICD-10) codes. SSc hospitalizations for patients aged ≥18 years from the above groups were identified. Multivariate logistic and linear regression analysis was used to adjust for possible confounders for the primary and secondary outcomes, respectively. There were over 71 million discharges included in the combined 2016 and 2017 NIS database. 62,930 hospitalizations were for adult patients who had either a principal or secondary ICD-10 code for SSc. 5095 (8.10%) of these hospitalizations had lung involvement. Lung involvement group had greater inpatient mortality (9.04% vs 4.36%, adjusted OR 2.09, 95% CI 1.61 to 2.73, p<0.0001), increase in mean adjusted LOS of 1.81 days (95% CI 0.98 to 2.64, p<0.0001), and increase in mean adjusted total hospital charge of $31,807 (95% CI 14,779 to 48,834, p<0.0001), compared with those without lung involvement. Hospitalizations for SSc with lung involvement have increased inpatient mortality, LOS and total hospital charge compared with those without lung involvement. Collaboration between the pulmonologist and the rheumatologist is important in optimizing outcomes of SSc hospitalizations with lung involvement.


Assuntos
Pacientes Internados , Pulmão/fisiopatologia , Escleroderma Sistêmico , Adulto , Mortalidade Hospitalar , Hospitalização , Hospitais , Humanos , Tempo de Internação , Escleroderma Sistêmico/complicações , Escleroderma Sistêmico/epidemiologia
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