UNASSIGNED: The COVID-19 pandemic resulted in a shift in the way healthcare resources were used. While India faced limited effects in the first COVID wave primarily due to strict lockdown of the county, it was one of the worst affected in the second wave and at one time reported the highest number of daily cases. To address the lack of intensive care units (ICU) beds, the surgical wards of our institute were repurposed to take care of patients requiring supplementary oxygen and other supportive care till either they improved or an ICU bed was available. The medical personnel in charge of the surgical wards were entrusted with the care of patients with support from intensive care support teams (ICST).
UNASSIGNED: We aimed to examine the clinical details of patients admitted in the repurposed orthopaedic wards during the second COVID wave and to evaluate the factors that might affect the clinical outcomes in such patients.
UNASSIGNED: This was a retrospective review of records of patients admitted in the repurposed orthopaedic wards between 16 April 2021 and 20 May 2021. Details related to demography, COVID-19 presentation, COVID-19-related management and clinical course, including transfers to ICUs, and outcomes in terms of either discharge to home or death were recorded. They were analysed using statistical software.
UNASSIGNED: One hundred and twenty three patients were treated during the said period. Twenty patients died during treatment, resulting in a mortality rate of 16.3%. Age, gender, RT-PCR status, pre-existing comorbidities, SpO2 at admission, method of supplemental oxygen supply, total leukocyte counts, haemoglobin values, serum C-reactive protein, Lactate dehydrogenase (LDH) and creatinine values had no statistically significant association with death of a patient during treatment.
UNASSIGNED: Based on the results, one can state that clinicians of surgical specialities having background knowledge of internal medicine from undergraduate education can manage patients of COVID-19 with support from ICST with reasonable outcomes. In case of future pandemics, surgical wards can be repurposed to tide over exigencies. Additionally, primary care physicians, who are often the first point of contact for patients, can allay their apprehensions adequately in future pandemics, thus preventing widespread panic and burdening of healthcare resources.

BACKGROUND: Childhood asthma is a prevalent condition with potential impact on adult life.
OBJECTIVE: In a 60-year follow-up study of adults with a history of severe childhood asthma, what are the potential differences in characteristics between individuals with persistent asthma and asthma remission in adulthood?
METHODS: Danish adults with a history of childhood asthma and a 4-month stay in at an asthma care facility in Kongsberg, Norway (1950-1979) in childhood were included. Recruitment was done through social media and personal invitation letters. Participants completed questionnaires and underwent spirometry, bronchial provocation, and bronchodilator reversibility and blood tests. Asthma remission was defined as no use of asthma medication and no asthma symptoms within the past 12 months with the remaining participants being classified as having current asthma.
RESULTS: Among 1394 eligible participants, 232 completed the follow-up. Ninety percent had current asthma, of whom 26% reported exacerbations in the past year. Only 16% of all the participants were managed in secondary care. Common comorbidities were allergic rhinitis (60%), hypertension (21%), eczema (16%), and cataract (8%). Compared to participants in remission, participants with persistent asthma had higher total immunoglobulin E (p=0.03), and both lower FEV1%pred (p=0.03), and FEV1/FVC ratio (p<0.001), as well as numerically higher fractional exhaled nitric oxide and blood eosinophil count.
CONCLUSIONS: Our 60-year follow-up study of adults with a history of severe childhood asthma revealed that nine out of ten still had current asthma. Persistent asthma was associated with lower lung function and higher levels of type 2 inflammatory biomarkers compared to those with asthma remission.

BACKGROUND: Laparoscopic sleeve gastrectomy (LSG) and laparoscopic Roux-en-Y gastric bypass (LRYGB) are the two most bariatric procedures in Asia. However, a comparison of long-term outcomes is still limited.
OBJECTIVE: To compare the degree of long-term weight loss, remission of comorbidities and complication rates after LRYGB and LSG procedures.
METHODS: A retrospective analysis was conducted for all patients who underwent LSG or LRYGB between May 2005 and May 2018 at a single institute with at least 1-5 years of follow up. Demographic data were collected.
RESULTS: Of the total 342 patients, 159 underwent primary LSG and 183 patients underwent LRYGB. Preoperative BMI in the LSG group was significantly higher than the LRYGB group (54.7 ± 12.6 kg/m2 vs 48.2 ± 8.2 kg/m2, P = 0.001). Comorbidities between LSG and LRYGB groups were similar. Mean percentage of total weight loss (%TWL) at 5 years after was 23.6 ± 1.7 % in the LSG group vs. 29.9 ± 1.3 % in the LRYGB group (P = 0.005) and LRYGB resulted in greater weight loss than LSG at all time points. The remission of comorbidities were similar in both groups, except that dyslipidemia was significantly better in the LRYGB group. Overall complications were 35.2 % in the LSG group vs. 20.8 % in the LRYGB group (P = 0.003).
CONCLUSIONS: Our center revealed that LRYGB had better results than LSG in terms of percentage total weight loss at all time points. In the long term, LSG showed a higher overall complication rate compared to LRYGB.

BACKGROUND: Pregnant persons with opioid use disorder (OUD) face a multitude of comorbid conditions that may increase the risk of adverse drug and health outcomes. This study characterizes typologies of comorbidities among pregnant persons with OUD and assesses the associations of these typologies with hospitalizations in the first year postpartum.
METHODS: A cohort of pregnant persons with OUD at delivery in 2018 were identified in a Pennsylvania statewide hospital dataset (n = 2055). Latent class analysis assessed 12 comorbid conditions including substance use disorders (SUDs), mental health conditions, and infections. Multivariable logistic regressions examined the association between comorbidity classes and hospitalizations (all-cause, OUD-specific, SUD-related, mental health-related) during early (0-42 days) and late (43-365 days) postpartum.
RESULTS: A three-class model best fit the data. Classes included low comorbidities (56.9% of sample; low prevalence of co-occurring conditions), moderate polysubstance/depression (18.4%; some SUDs, all with depression), and high polysubstance/bipolar disorder (24.7%; highest probabilities of SUDs and bipolar disorder). Overall, 14% had at least one postpartum hospitalization. From 0 to 42 days postpartum, the moderate polysubstance/depression and high polysubstance/bipolar disorder classes had higher odds of all-cause and mental health-related hospitalization, compared to the low comorbidities class. From 43 to 365 days postpartum, the high polysubstance/bipolar disorder class had higher odds of all-cause hospitalizations, while both the high polysubstance/depression and moderate polysubstance/bipolar disorder classes had higher odds of SUD-related and mental health-related hospitalizations compared to the low comorbidities class.
CONCLUSIONS: Findings highlight the need for long-term, multidisciplinary healthcare delivery interventions to address comorbidities and prevent adverse postpartum outcomes.

BACKGROUND: Psoriasis, a chronic inflammatory skin condition, affects approximately 3.0% of the US population, with patients often experiencing significant sleep disturbances. These disturbances include a higher prevalence of conditions such as obstructive sleep apnea, restless leg syndrome, and insomnia. Given the additional risks for cardiovascular disease, metabolic disorders, and depression linked to both poor sleep and psoriasis, addressing sleep issues in this patient group is critical.
METHODS: The study utilized National Health and Nutrition Examination Survey (NHANES) data, focusing on individuals aged ≥ 20 years who provided information on psoriasis status and sleep. Multistage stratified survey methodology was applied, with multivariable logistic regression models used to examine the association between psoriasis and sleep issues, adjusting for factors such as age, gender, and health history.
RESULTS: Psoriasis diagnosis was significantly associated with trouble sleeping (adjusted odds ratio [aOR] 1.88; 95% confidence interval [CI] 1.44-2.45). There was no significant association between psoriasis and sleep quantity. Older age, female gender, and a history of sleep disorders were predictors of trouble sleeping among psoriasis patients.
CONCLUSIONS: Psoriasis is significantly associated with sleep disturbances, independent of sleep duration. This underscores the need for clinical screening focusing on sleep quality rather than quantity in psoriasis patients to effectively identify and treat sleep-related comorbidities. Further research using objective sleep measures is warranted to guide clinical management and improve patient quality of life.

UNASSIGNED: The end of the coronavirus disease 2019 (COVID-19) pandemic has been declared by the World Health Organization on May 5, 2023. Several vaccines were developed, and new data is being published about their effectiveness. However, the clinical trials for the vaccines were performed before the Omicron variant appeared and there are population groups where vaccine effectiveness still needs to be tested. The overarching goal of the present study was to analyze the effects of COVID-19 vaccination before and after the Omicron variant in patients considering comorbidities in a population from Nuevo Leon, Mexico.
UNASSIGNED: Epidemiological COVID-19 data from the Mexican Social Security Institute were collected from 67 hospitals located in northeastern Mexico, from July 2020 to May 2023, and a total of 669,393 cases were compiled, 255,819 reported a SARS-CoV-2 positive reverse transcription quantitative polymerase chain reaction (RT-qPCR) test or a positive COVID-19 antigen rapid test.
UNASSIGNED: Before Omicron (BO, 2020-2021), after 14 days of two doses of COVID-19 vaccine, BNT162b2 and ChAdOx1 vaccines were effective against infection in non-comorbid and all comorbid subgroups, whereas after Omicron (AO, 2022- 2023) there was no significant effectiveness against infection with none of the vaccines. Regarding hospitalization BO, BNT162b2, ChAdOx1, CoronaVac and mRNA-1273 significantly protected non-comorbid patients whereas BNT162b2, ChAdOx1, and mRNA-1273, protected all comorbid subgroups against hospitalization. AO, BNT162b2, ChAdOx1, CoronaVac and mRNA-1273 were effective against hospitalization in non-comorbid patients whereas for most comorbid subgroups BNT162b2, ChAdOx1 and CoronaVac were effective against hospitalization. Non-comorbid patients were protected against death as an outcome of COVID-19 during the BO period with most vaccines whereas a reduction in effectiveness was observed AO with mRNA-1273 vaccines in patients with hypertension, and diabetes mellitus.
UNASSIGNED: BO, COVID-19 vaccines were effective against infection, hospitalization, and death whereas AO, COVID-19 vaccines failed to protect the population from COVID-19 infection. A varying effectiveness against hospitalization and death is observed AO.

UNASSIGNED: Sleep has important effects on breathing and gas exchange that may have negative consequences in patients with chronic obstructive pulmonary disease (COPD). COPD and obstructive sleep apnea (OSA) are highly prevalent and may coexist, which is referred to as the overlap syndrome.
UNASSIGNED: The probability of OSA-COPD overlap represents the balance of protective and promoting factors such as hyperinflation and fluid retention; thus, different clinical COPD phenotypes influence the likelihood of comorbid OSA. The clinical presentation of OSA-COPD overlap is nonspecific, and the diagnosis requires clinical awareness to identify patients needing overnight studies. Both COPD and OSA are associated with a range of overlapping physiological and biological disturbances including hypoxia and inflammation that contribute to cardiovascular comorbidities. The management of OSA-COPD overlap patients differs from those with COPD alone and the survival of overlap patients treated with positive airway pressure (PAP) is superior to those untreated.
UNASSIGNED: The recognition of OSA-COPD overlap has important clinical relevance because of its impact on outcomes and management. Management of the overlap should address both sleep quality and disordered gas exchange. PAP therapy has demonstrated reductions in COPD exacerbations, hospitalizations, healthcare costs and mortality in overlap patients.

Background: This study evaluated early childhood comorbidities of cerebral palsy (CP) in low birth weight (LBW) children and assessed the impact of maternal bio-psychosocial factors on CP risk in preterm infants of varying birth weights (BWs). Methods: Data from 15,181 preterm infants (2009-2013) and 151,810 controls were analyzed using Taiwan\'s National Health Insurance Research Database. CP prevalence and LBW-associated comorbidities were examined, and odds ratios (ORs) were calculated. Results: This study confirmed increasing prematurity and LBW rates in Taiwan, with LBW infants showing higher CP prevalence. Significant maternal risk factors included age extremes (<20 and >40 years). LBW infants exhibited higher risks for respiratory, circulatory, nervous system, and psycho-developmental comorbidities compared with controls, with the lowest BW having even higher ORs. Maternal factors such as family income, the number of hospital admissions, and length of hospital stay were remarkably correlated with BW and subsequent complications. Each additional gestational week crucially reduced the risk of complications in premature infants. Conclusions: LBW infants are at a higher risk for CP and various comorbidities, with maternal bio-psychosocial factors playing a critical role. Addressing these factors in prenatal care and interventions is essential to improve outcomes for premature infants.

BACKGROUND: Although we are four years into the pandemic, there is still conflicting evidence regarding the clinical outcomes of diabetic patients hospitalized with COVID-19. The primary objective of this study was to evaluate the in-hospital mortality and morbidity of diabetic versus nondiabetic patients hospitalized with COVID-19 in the Northern UAE Emirates.
METHODS: A retrospective analysis was performed on clinical data from patients with or without diabetes mellitus (DM) who were admitted to the isolation hospital with COVID-19 during the first and second waves of the disease (March 2020 to April 2021). The assessed endpoints were all-cause in-hospital mortality, length of hospitalization, intensive care unit (ICU) admission, and mechanical ventilation.
RESULTS: A total of 427 patients were included in the analysis, of whom 335 (78.5%) had DM. Compared to nondiabetics, diabetic COVID-19 patients had a significantly longer in-hospital stay (odds ratio (OR) = 2.35; 95% confidence interval (CI) = 1.19-4.62; p = 0.014), and a significantly higher frequency of ICU admission (OR = 4.50; 95% CI = 1.66-7.34; p = 0.002). The need for mechanical ventilation was not significantly different between the two groups (OR: distorted estimates; p = 0.996). Importantly, the overall in-hospital mortality was significantly higher among diabetic patients compared to their nondiabetic counterparts (OR = 2.26; 95% CI = 1.08-4.73; p = 0.03).
CONCLUSIONS: DM was associated with a more arduous course of COVID-19, including a higher mortality rate, a longer overall hospital stay, and a higher frequency of ICU admission. Our results highlight the importance of DM control in COVID-19 patients to minimize the risk of detrimental clinical outcomes.

Background: Postoperative ileus (POI) is a common complication after colorectal surgery, leading to increased hospital stay and costs. This study aimed to explore patient comorbidities that contribute to the development of POI in the colorectal surgical population and compare machine learning (ML) model accuracy to existing risk instruments. Study Design: In a retrospective study, data were collected on 316 adult patients who underwent colorectal surgery from January 2020 to December 2021. The study excluded patients undergoing multi-visceral resections, re-operations, or combined primary and metastatic resections. Patients lacking follow-up within 90 days after surgery were also excluded. Eight different ML models were trained and cross-validated using 29 patient comorbidities and four comorbidity risk indices (ASA Status, NSQIP, CCI, and ECI). Results: The study found that 6.33% of patients experienced POI. Age, BMI, gender, kidney disease, anemia, arrhythmia, rheumatoid arthritis, and NSQIP score were identified as significant predictors of POI. The ML models with the greatest accuracy were AdaBoost tuned with grid search (94.2%) and XG Boost tuned with grid search (85.2%). Conclusions: This study suggests that ML models can predict the risk of POI with high accuracy and may offer a new frontier in early detection and intervention for postoperative outcome optimization. ML models can greatly improve the prediction and prevention of POI in colorectal surgery patients, which can lead to improved patient outcomes and reduced healthcare costs. Further research is required to validate and assess the replicability of these results.