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To explore the association between psychological capital and psychological distress in stroke patient–spouse dyads and examine the mediating effect of relationship satisfaction in this association.
A population of 207 stroke patient-spouse dyads completed the Positive Psychological Capital Questionnaire, Quality of Relationship Index, and Kessler Psychological Distress Scale. A dyadic analysis was conducted using the actor-partner interdependence mediation model.
In stroke-affected couples, a noteworthy interaction exists between moderately elevated levels of psychological capital (p < 0.01). Patients exhibit significantly diminished psychological capital and heightened psychological distress compared to their spouses (t = −5.429, p < 0.001; t = 2.536, p < 0.05). Conversely, there is no significant variance in relationship satisfaction between patients and the partners (t = −0.920, p > 0.05). Patient relationship satisfaction acts as a mediator in the correlation between dyadic psychological capital and patient psychological distress (β = −0.020, p < 0.05; β = −0.011, p < 0.05). Similarly, spousal relationship satisfaction serves as a mediator in the connection between dyadic psychological capital and spousal psychological distress (β = −0.011, p < 0.05; β = −0.020, p < 0.05).
Psychological distress was reduced when psychological capital or relationship satisfaction in stroke dyads was promoted, and relationship satisfaction is an important mediator of the impact of psychological capital on psychological distress in the dyads. Healthcare providers should pay equal attention to spouses and implement dyadic psychological capital interventions centered on stroke couples to enhance relationship satisfaction and reduce psychological distress.
Although potential risk factors for sternal wound infection (SWI) have been extensively studied, the onset time of SWI and different risk factors for superficial and deep SWI were rarely reported. This nested case–control study aims to compare the onset time and contributors between superficial and deep SWI. Consecutive adult patients who underwent cardiac surgery through median sternotomy in a single center from January 2011 to January 2021 constituted the cohort. The case group was those who developed SWI as defined by CDC and controls were matched 6:1 per case. Kaplan–Meier analysis, LASSO and univariate and multivariate Cox regressions were performed. A simple nomogram was established for clinical prediction of the risk of SWI. The incidence of SWI was 1.1% (61 out of 5471) in our cohort. Totally 366 controls were matched to 61 cases. 26.2% (16 of 61) SWI cases were deep SWI. The median onset time of SWI was 35 days. DSWI had a longer latency than SSWI (median time 46 days vs. 32 days, p = 0.032). Kaplan–Meier analyses showed different time-to-SWI between patients with and without DM (p = 0.0011) or MI (p = 0.0019). Multivariate Cox regression showed that BMI (HR = 1.083, 95% CI: 1.012–1.116, p = 0.022), DM (HR = 2.041, 95% CI: 1.094–3.805, p = 0.025) and MI (HR = 2.332, 95% CI: 1.193–4.557, p = 0.013) were independent risk factors for SWI. Superficial SWI was only associated with BMI (HR = 1.089, 95% CI: 1.01–1.175, p = 0.027), while deep SWI was associated with DM (HR = 3.271, 95% CI: 1.036–10.325, p = 0.043) and surgery time (HR = 1.004, 95% CI: 1.001–1.008, p = 0.027). The nomogram for SWI prediction had an AUC of 0.67, good fitness and clinical effectiveness as shown by the calibration curve and decision curve analyses. BMI, DM and MI were independent risk factors for SWI. DSWI had a longer latency and different risk factors compared to SSWI. The nomogram showed a fair performance and good effectiveness for the clinical prediction of SWI.
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