Browsing by Subject "Meta-Analysis"

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    Coinfections with Bacteria, Fungi, and Respiratory Viruses in Patients with SARS-CoV-2: A Systematic Review and Meta-Analysis
    (MDPI, 2021-06) Alhumaid, Saad; Al Mutair, Abbas; Al Alawi, Zainab; Alshawi, Abeer M.; Alomran, Salamah A.; Almuhanna, Mohammed S.; Almuslim, Anwar A.; Bu Shafia, Ahmed H.; Alotaibi, Abdullah M.; Ahmed, Gasmelseed Y.; Rabaan, Ali A.; Al-Tawfiq, Jaffar A.; Al-Omari, Awad; Medicine, School of Medicine
    Background: Coinfection with bacteria, fungi, and respiratory viruses in SARS-CoV-2 is of particular importance due to the possibility of increased morbidity and mortality. In this meta-analysis, we calculated the prevalence of such coinfections. Methods: Electronic databases were searched from 1 December 2019 to 31 March 2021. Effect sizes of prevalence were pooled with 95% confidence intervals (CIs). To minimize heterogeneity, we performed sub-group analyses. Results: Of the 6189 papers that were identified, 72 articles were included in the systematic review (40 case series and 32 cohort studies) and 68 articles (38 case series and 30 cohort studies) were included in the meta-analysis. Of the 31,953 SARS-CoV-2 patients included in the meta-analysis, the overall pooled proportion who had a laboratory-confirmed bacterial infection was 15.9% (95% CI 13.6–18.2, n = 1940, 49 studies, I2 = 99%, p < 0.00001), while 3.7% (95% CI 2.6–4.8, n = 177, 16 studies, I2 = 93%, p < 0.00001) had fungal infections and 6.6% (95% CI 5.5–7.6, n = 737, 44 studies, I2 = 96%, p < 0.00001) had other respiratory viruses. SARS-CoV-2 patients in the ICU had higher co-infections compared to ICU and non-ICU patients as follows: bacterial (22.2%, 95% CI 16.1–28.4, I2 = 88% versus 14.8%, 95% CI 12.4–17.3, I2 = 99%), and fungal (9.6%, 95% CI 6.8–12.4, I2 = 74% versus 2.7%, 95% CI 0.0–3.8, I2 = 95%); however, there was an identical other respiratory viral co-infection proportion between all SARS-CoV-2 patients [(ICU and non-ICU) and the ICU only] (6.6%, 95% CI 0.0–11.3, I2 = 58% versus 6.6%, 95% CI 5.5–7.7, I2 = 96%). Funnel plots for possible publication bias for the pooled effect sizes of the prevalence of coinfections was asymmetrical on visual inspection, and Egger’s tests confirmed asymmetry (p values < 0.05). Conclusion: Bacterial co-infection is relatively high in hospitalized patients with SARS-CoV-2, with little evidence of S. aureus playing a major role. Knowledge of the prevalence and type of co-infections in SARS-CoV-2 patients may have diagnostic and management implications.
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    Diabetic ketoacidosis in patients with SARS-CoV-2: a systematic review and meta-analysis
    (BMC, 2021-10) Alhumaid, Saad; Al Mutair, Abbas; Al Alawi, Zainab; Rabaan, Ali A.; Alomari, Mohammed A.; Al Salman, Sadiq A.; Al-Alawi, Ahmed S.; Al Hassan, Mohammed H.; Alhamad, Hesham; Al-Kamees, Mustafa A.; Almousa, Fawzi M.; Mufti, Hani N.; Alwesabai, Ali M.; Dhama, Kuldeep; Al-Tawfiq, Jaffar A.; Al-Omari, Awad; Medicine, School of Medicine
    BACKGROUND: One possible reason for increased mortality due to SARS-CoV-2 in patients with diabetes is from the complication of diabetic ketoacidosis (DKA). OBJECTIVES: To re-evaluate the association of SARS-CoV-2 and development of DKA and analyse the demographic and biochemical parameters and the clinical outcomes in COVID-19 patients with DKA. DESIGN: A systematic review and meta-analysis. Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement was followed. METHODS: Electronic databases (Proquest, Medline, Embase, Pubmed, CINAHL, Wiley online library, Scopus and Nature) were searched from 1 December 2019 to 30 June 2021 in the English language using the following keywords alone or in combination: COVID-19 OR SARS-CoV-2 AND diabetic ketoacidosis OR DKA OR ketosis OR ketonemia OR hyperglycaemic emergency OR hyperglycaemic crisis. We included studies in adults and children of all ages in all healthcare settings. Binary logistic regression model was used to explore the effect of various demographic and biochemical parameters variables on patient's final treatment outcome (survival or death). RESULTS: Of the 484 papers that were identified, 68 articles were included in the systematic review and meta-analysis (54 case report, 10 case series, and 4 cohort studies). Studies involving 639 DKA patients with confirmed SARS-CoV-2 [46 (7.2%) were children and 334 (52.3%) were adults] were analyzed. The median or mean patient age ranged from < 1 years to 66 years across studies. Most of the patients (n = 309, 48.3%) had pre-existing type 2 diabetes mellitus. The majority of the patients were male (n = 373, 58.4%) and belonged to Hispanic (n = 156, 24.4%) and black (n = 98, 15.3%) ethnicity. The median random blood glucose level, HbA1c, pH, bicarbonate, and anion gap in all included patients at presentation were 507 mg/dl [IQR 399-638 mg/dl], 11.4% [IQR 9.9-13.5%], 7.16 [IQR 7.00-7.22], 10 mmol/l [IQR 6.9-13 mmol/l], and 24.5 mEq/l [18-29.2 mEq/l]; respectively. Mortality rate was [63/243, 25.9%], with a majority of death in patients of Hispanic ethnicity (n = 17, 27%; p = 0.001). The odd ratios of death were significantly high in patients with pre-existing diabetes mellitus type 2 [OR 5.24, 95% CI 2.07-15.19; p = 0.001], old age (≥ 60 years) [OR 3.29, 95% CI 1.38-7.91; p = 0.007], and male gender [OR 2.61, 95% CI 1.37-5.17; p = 0.004] compared to those who survived. CONCLUSION: DKA is not uncommon in SARS-CoV-2 patients with diabetes mellitus and results in a mortality rate of 25.9%. Mortality key determinants in DKA patients with SARS-CoV-2 infection are individuals with pre-existing diabetes mellitus type 2, older age [≥ 60 years old], male gender, BMI ≥ 30, blood glucose level > 1000 mg/dl, and anion gap ≥ 30 mEq/l.
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    The Relationship Between Instrumental Activities of Daily Living and Hospitalizations: A Systematic Review and Meta-Analysis
    (2024-07) Collins, Jason Joseph; Newhouse, Robin P.; Levoy, Krisin; Basile, David P.; Jung, Miyeon
    Instrumental activities of daily living (IADL) have been defined as the activities for which their performance is necessary for continued independent living arrangements and that are more complex than routine activities of daily living. Evidence has reported the presence of IADL impairments in patients discharging from hospital. However, there is little research evaluating the role of IADLs as a modifiable risk factor in preventing hospitalizations among high-risk groups, such as heart failure. This oversight leaves gaps in discharge planning, in connecting patients to needed services that address impaired IADLs. The purpose of this dissertation was to improve knowledge of the relationship between IADLs and hospitalizations by: 1) describing the theory that underpins the relationship between IADLs and hospitalizations; 2) completing a systematic review to narratively synthesize the state of use of IADL scales across studies examining hospitalizations among high-risk groups (i.e., heart failure); 3) completing a meta-analysis to estimate the overall association between IADLs and hospitalizations among the high-risk groups; 4) conducting tests of moderation using meta-analytic techniques to determine whether the overall association between IADLs and hospitalizations varied based on certain IADL scale characteristics (e.g., number of components). Founded upon the Theory of Self-Care of Chronic Illness, the systematic search produced 4,932 articles, with 23 meeting criteria. The systematic review revealed that IADL discussions have been present in healthcare literature internationally since 1969; significant heterogeneity exists in the number of IADL components; the legacy work of Lawton and Brody (1969) remains prevalent but not panoptic; and IADLs have been studied in a wide variety of illnesses. The meta-analysis revealed that IADL impairments were positively associated with hospitalizations (OR=1.40, 95% CI: 1.24, 1.58; k=22, p<.001). Tests of moderation indicated that the IADL scale (QM=0.496, p=0.481) and item composition (QM=0.189, p=0.664) did not explain variation among effect sizes, indicating that the IADL scale formulation did not impact the relationship between IADLs deficits and hospitalizations. This dissertation provides compelling evidence that assessing IADLs may yield a significant opportunity to identify modifiable risk factors to reduce hospitalization. More work is needed to standardize IADL measurement at discharge to identify patients at high risk.