CTDs are complex diseases with variable presentations, courses and prognosis. Management of patient’s presenting indicative symptoms of CTDs should be tailored to the individual symptoms presented, and in accordance with the organ systems affected.
The prognosis of patients diagnosed with CTDs can vary between diseases, from a benign course to severe disease progression. A patient may also present with more than one CTD, a factor that is critical in determining what his or her prognosis may be long term.
- Sjögren's Syndrome: The prognosis of SS may be contingent upon risk factors such as the presence of life threatening vasculitis, or B-cell lymphoma.1
- SLE: SLE has a highly variable clinical course. Morbidity and mortality in SLE patients is considerable despite immunosuppressive therapies. Due to an increased risk of poor outcomes, pregnancy may be discouraged in patients who are planning to become pregnant.2
- Systemic Sclerosis (SSc): The presence of cutaneous manifestations is critical in deciding upon management of SSc patients—the level of skin involvement will dictate how rapidly the disease progresses. Pregnancy may be discouraged in patients who are planning to become pregnant due to increased risk for poor outcomes. 3
- Polymyositis/Dermatomyositis: Dermatomyositis and polymyositis are serious diseases that carry with them a disease mortality rate of up to 10%. These diseases have a major impact on quality of life, despite the potential for regained muscle strength.4
- Mixed Connective Tissue Diseases (MCTDs): outlook for patients with MCTDs varies contingent upon which organ systems are affected. Patients who are treated early with targeted therapies and subsequently monitored may have a better projected prognosis.5
Patients with a confirmed diagnosis of one or multiple CTDs, who are pregnant or planning to become pregnant carry with them additional risk factors in terms of long term prognosis. Pregnancy can cause symptom flares, which need to be accounted for during treatment to ensure healthy gestation and optimal outcomes.6